The best remote job offers for ML engineers, AI and deep learning. Build the future from Latin America.
Senior Site Reliability Engineer - AI Infrastructure
Location: Global Remote / San Francisco · Full-Time
About Andromeda
Andromeda Cluster was founded by Nat Friedman and Daniel Gross to give early-stage startups access to the kind of scaled AI infrastructure once reserved only for hyperscalers.
We began with a single managed cluster â but it filled almost instantly. Since then, weâve been quietly building the systems, network, and orchestration layer that makes the worldâs AI infrastructure more accessible.
Today, Andromeda works with leading AI labs, data centers, and cloud providers to deliver compute when and where itâs needed most. Our platform routes training and inference jobs across global supply, unlocking flexibility and efficiency in one of the fastest-growing markets on earth.
Our long-term vision is to build the liquidity layer for global AI compute â a marketplace that moves the infrastructure and workloads powering AGI not dissimilar to the flows of capital in the worldâs financial markets.
We are expanding to new frontiers to find the brightest that work in AI infrastructure, research and engineering.
The Role
This is not a generalist SRE role.
You will design, operate, and debug large-scale GPU infrastructure used for distributed training and inference, working directly with customers pushing the limits of modern AI systems.
Weâre looking for engineers who have personally run GPU clusters in production, understand the failure modes of distributed training, and can reason about performance from network fabric â kernel â framework.
What Youâll Own
GPU Cluster Architecture: Design and evolve multi-provider, multi-region GPU compute clusters optimized for large-scale training. Make topology-aware scheduling, networking, and storage decisions that directly impact training throughput and cost efficiency.
Customer Technical Partnership: Serve as the primary technical point of contact for customers running large-scale training workloads. Onboard, troubleshoot, and optimize, often in real time.
Reliability & Performance Engineering: Define SLOs and error budgets that account for the unique failure modes of GPU infrastructure (ECC errors, NVLink degradation, NCCL timeouts). Own capacity planning across heterogeneous GPU fleets optimized for training throughput.
Networking & Fabric Health: Ensure the health and performance of high-speed interconnects (InfiniBand, RoCE, NVLink) that underpin distributed training. Diagnose and resolve fabric-level issues that degrade collective operations.
Observability: Build deep visibility into GPU utilization, memory pressure, interconnect throughput, training job performance, and hardware health. Go well beyond standard infrastructure metrics.
Automation & Tooling: Build production-grade automation for cluster provisioning, GPU health checks, job scheduling, self-healing, and firmware/driver lifecycle management.
Incident Leadership: Lead incident response for complex, multi-layer failures spanning hardware, networking, orchestration, and ML frameworks. Drive blameless postmortems and systemic fixes.
What Weâre Looking For
GPU Systems Expertise: Deep, hands-on experience operating large-scale GPU clusters (NVIDIA A100/H100/B200 or equivalent). You understand GPU memory hierarchies, ECC behavior, thermal throttling, and hardware failure modes from direct experience not documentation.
High-Performance Networking: Production experience with InfiniBand, RoCE, or NVLink fabrics in the context of distributed training. You can diagnose why an all-reduce is slow, identify a degraded link in a fat-tree topology, and reason about congestion control at scale.
Distributed Training & ML Frameworks: Working knowledge of how large training jobs actually run â NCCL, CUDA, PyTorch distributed, DeepSpeed, Megatron, FSDP, or similar. You don't need to write the models, but you need to understand what's happening at the systems level when a 1,000-GPU training run stalls.
Linux & Systems Internals: Expert-level Linux knowledge: kernel tuning, driver management (NVIDIA drivers, CUDA toolkit), cgroup/namespace internals, performance profiling at the syscall and hardware level.
Kubernetes & Orchestration: Strong experience running Kubernetes in production with GPU workloads, including device plugins, topology-aware scheduling, multi-cluster federation, and custom operators. Experience with Slurm or other HPC schedulers is equally valued.
Automation & Software Engineering: Strong engineering skills in Python, Go, or Bash. You build production-grade tools and services, not just scripts. Infrastructure-as-Code proficiency (Terraform, Helm, Ansible, or equivalent).
Observability & Monitoring: Hands-on experience building monitoring and alerting for GPU infrastructure, not just Prometheus/Grafana basics, but GPU-specific telemetry (DCGM, nvidia-smi, fabric manager metrics) integrated into actionable dashboards.
Incident Management: Proven track record leading incident response for complex distributed systems where the failure could be in hardware, firmware, networking, drivers, orchestration, or application code and you need to narrow it down fast.
Strong Candidates May Have
Distributed Storage: Experience with high-performance parallel file systems (VAST, Weka, Lustre, GPFS) and the checkpoint I/O and data-loading bottlenecks that come with large training runs.
Training Optimization: Experience profiling and optimizing distributed training performance: identifying stragglers, tuning collective communication strategies, improving MFU (Model FLOPs Utilization), and reducing idle GPU time across large runs.
Cluster Buildout & Hardware: Experience involved in physical cluster design - rack layout, power/cooling constraints, network topology design, and hardware validation/burn-in at scale.
Team Leadership: Experience leading or mentoring a team of infrastructure engineers. We're growing and need people who raise the bar for everyone around them.
Why Youâll Love It Here
This is a high-impact, senior builderâs role. Youâll have significant ownership and autonomy to shape how our systems run at a foundational level, working directly with customers and providers while architecting the infrastructure backbone for reliable, scalable AI compute. Youâll influence technical direction and help define what world-class AI infrastructure operations look like.
Andromeda Cluster is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Bold Business is an AI-first U.S. based global workforce solutions company rebuilding how businesses operate in the AI era. We build AI-Amplified Talentâ¢, custom AI agents, and automation systems for clients like AT&T, JP Morgan, and Verizon â and we back every engagement. If you want to build things that ship and matter, you'll fit right in.
You are the technical standard-setter and primary builder for how AI systems are designed, built, and shipped at Bold.
You will:
Amigo partners with healthcare organizations to deploy robust AI infrastructure that directly serves patients and providers. Our agents handle clinical workflows and patient engagement across the entire journey: pre-visit intake, care navigation, post-visit care plans, patient monitoring, and more.
We're fresh off our Series A backed by Tier 1 investors like Madrona, General Catalyst, and Optum Ventures. Our work is validated with leading academic medical institutions. Our agents have reached 3M+ patient encounters and are on track to 10x this year.
The Applied AI Engineer role at Amigo is a launchpad. You'll ship production AI agents end-to-end â writing the code, shaping product decisions, and sitting with customers as they deploy â and in doing so, you'll build the exact skill set that opens doors to the next chapter of your career at Amigo.
This role is designed to help you grow into other parts of the company. Applied AI Engineers move into one of four paths within 6â12 months:
Applied AI: stay in the org; go deeper on agent architecture, verification frameworks, and the hardest customer problems; become a technical leader on the applied team
Product Management: if you gravitate toward roadmap, discovery, and shaping what we build next
Sales Engineering: if you thrive in pre-sales, technical storytelling, and closing enterprise deals
Software Engineering: if you want to go deeper on platform, infrastructure, and core systems
You won't have to guess which fits. This role will actively help you explore each path, give you projects that stretch in those directions, and sponsor the internal transition when you're ready. People who want to stay on the applied side long-term can do that too â but this role is explicitly built so you don't have to.
Implement context graphs that enable agents to select the right reasoning mode (lookup, pattern recognition, exploration) based on problem complexity
Build and optimize agent configurations, including static personas, dynamic behaviors, and functional memory systems
Design bounded Operational Patient Domains (OPDs) with explicit inclusions, exclusions, capabilities, and escalation rules
Implement verification loops and simulation-based testing to validate agent performance against customer KPIs
Write Python code for tool integrations and API orchestration within customer environments
Build evaluation suites that gate deployments using customer-specific success metrics
Collaborate with domain experts through structured interviews to capture reasoning patterns and clinical protocols
Support technical power users through git-based workflows for rapid iteration
Implement adversarial testing to systematically identify and prevent failure modes
Ensure agents maintain audit-ready provenance with version pinning and evidence links
Contribute to systematizing implementation patterns across different problem domains
2+ years of production software engineering experience
Strong Python skills including proper use of typing, and experience building highly reliable systems that interact with external APIs (schema design, retry strategies, error propagation)
Experience with LLMs, prompt engineering, and building on AI platforms
Ability to implement systems with strict reliability requirements
Understanding of testing and verification methodologies
Experience working directly with customers or stakeholders to deliver technical solutions
Familiarity with git workflows and collaborative development
Strong debugging and problem-solving skills for complex systems
Ability to balance theoretical concepts with practical implementation constraints
Clear technical communication for both engineering and non-technical audiences
Experience in regulated industries (healthcare, finance, legal)
Background with simulation, synthetic data, or evaluation frameworks
Understanding of distributed systems and service-oriented architectures
Experience with observability and monitoring in production environments
Familiarity with compliance requirements (HIPAA, SOC 2, GDPR)
Comprehensive health, dental, and vision insurance
Daily catered lunch and dinner
Mental health support and wellness coaching
Flexible wellness stipend for fitness, therapy, or personal growth
Annual learning budget for courses, books, or conferences
Conference attendance budget for professional development
Annual team offsite
Academic collaboration opportunities
Unlimited PTO
Patients Win, We Win
If patients aren't getting better care, we haven't earned the right to scale. Every internal decision gets pressure-tested: does this make patients' lives better? If we can't draw the line, we question why we're doing it.
High Standards, High Care
We hold a high bar for the team because patients are counting on us to get this right. But high standards only work with genuine investment in each other. You can take risks, admit mistakes, and challenge ideasânot despite our standards, but because of them.
Thoughtful Urgency
We move fast by default, but speed without judgment is recklessness. The discipline is knowing which decisions are reversible vs. not. In healthcare AI, the companies that win will be fast everywhere they can be and careful everywhere they must be. We build the muscle to do both.
Intensely Measured
We instrument patient outcomes, provider ROI, system performance, and clinical accuracy. But data without action is surveillance. Every metric should have an owner, a threshold, and a response plan. If we're measuring something but never acting on it, we stop measuring it.
Low ego: Politics and territory don't interest you. The best ideas win, regardless of who has them.
Direct: You say the hard thing, challenge ideas openly, and commit fully once decided.
High agency: You thrive on trust rather than instruction. When you see something is broken, you fix it. You donât file tickets and wait for someone else.
Bar of excellence: You hold yourself to a bar most people wouldn't, and you want teammates who do the same.
Skeptical: You push back on rules that donât make sense and question assumptions that havenât earned their place.
Location: Remote
Type: Contract / Part-time
Commitment: 20 hours per week
Compensation: Up to 40 USD / hr
Project duration: 2 months, with potential extension
Availability: Immediate start
We create high-quality STEM training data for frontier AI models used by leading AI labs to improve model reasoning in scientific domains.
We are seeking experts in Biology to create challenging, deterministic problems with exactly one verifiable correct answer. Problems should reflect authentic scientific and analytical workflows and be submitted with complete, verified solutions.
Depending on specialization, work may include molecular biology, genetics, systems biology, computational biology, bioinformatics, or adjacent quantitative biology fields.
Design advanced biology problems that challenge frontier AI systems
Create deterministic tasks with one correct answer
Submit complete, verified solutions
Build problems involving experimental reasoning, biological systems, computational analysis, or bioinformatics workflows
Use Python and, when relevant, specialized biology or bioinformatics tools
Ensure high standards of rigor, reproducibility, and technical clarity
Bachelor's, Masterâs or PhD in Biology or a related life sciences field
Research or industry experience involving computational or quantitative biological analysis
Strong Python skills; experience with data analysis or bioinformatics workflows preferred
Strong reasoning ability and comfort with multi-step scientific problem solving
Ability to create original, difficult problems grounded in real biological practice
Clear written English and strong attention to detail
Experience with bioinformatics toolkits, genomics workflows, structural biology tools, or computational biology methods
Experience designing technical assessments or scientific challenge problems
Cross-disciplinary experience spanning biology and computation
Help us use technology to make a big green dent in the universe!
Kraken powers some of the most innovative global developments in energy.
Weâre a technology company focused on creating a smart, sustainable energy system. From optimising renewable generation, creating a more intelligent grid and enabling utilities to provide excellent customer experiences, our operating system for energy is transforming the industry around the world in a way that benefits everyone.
Itâs a really exciting time in energy. Help us make a real impact on shaping a better, more sustainable future.
Youâll join our AI Foundry team â a small, expert group focused on solving high-impact problems for the business by building production-grade internal AI tooling.
We're looking for a Senior Machine Learning Engineer where your work will span the full lifecycle: exploring solutions, validating value with stakeholders, rapidly prototyping, and taking systems to production (and keeping them healthy). Youâll work closely with product, backend engineers, and operational stakeholders to deliver tools that directly improve how we serve clients and run Kraken.
Example initiatives you may contribute to include:
- An LLM-powered assistant for internal knowledge and discovery
- Summarising code changes to support client delivery and decision-making
- Helping teams assess and accelerate client migrations
\nKraken is a certified Great Place to Work in France, Germany, Spain, Japan and Australia. In the UK we are one of the Best Workplaces on Glassdoor with a score of 4.5 and in Germany we rate 4.7 on Kununu as a Top Company. Check out our Welcome to the Jungle site (FR/EN) to learn more about our teams and culture.
Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. If you have any specific accommodations or a unique preference, please contact us at inclusion@kraken.tech and we'll do what we can to customise your interview process for comfort and maximum magic!
Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Kraken, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. We consider all applicants without regard to race, colour, religion, national origin, age, sex, gender identity or expression, sexual orientation, marital or veteran status, disability, or any other legally protected status. U.S. based candidates can learn more about their EEO rights here.
Our (i) Applicant and Candidate Privacy Notice and Artificial Intelligence (AI) Notice, (ii) Website Privacy Notice and (iii) Cookie Notice govern the collection and use of your personal data in connection with your application and use of our website. These policies explain how we handle your data and outline your rights under applicable laws, including, but not limited to, the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Depending on your location, you may have the right to access, correct, or delete your information, object to processing, or withdraw consent. By applying, you acknowledge that youâve read, understood and consent to these terms
Join a team thatâs transforming mental healthcare. Founded by psychiatrists, Headlight is more than a company: itâs a movement. A movement that exists on the front lines of the mental health crisis, transforming the way people access care and the way clinicians deliver it. In order to help people in their time of need and ensure that every person who comes to us has options, we are transparent about our capabilities, treatments, and coverage, we champion innovation, and we leverage our rich data to continuously implement better ways of delivering care. Our mission is simple but powerful: Improving lives, one session at a time.
Our highly skilled and principled clinical team enjoys autonomy and institutional support so they can put their focus where it should be: on improving patient outcomes. Our clinicians want to do more than help individual clients, so they work to affect the system as a whole, elevating standards of care so that their efforts reverberate far beyond what they could do in private practice.
As the most trusted behavioral health partner in the Western U.S., weâve established deep relationships that give us unparalleled access, interoperability, and first-priority referrals. This exclusivity, combined with our best-in-class coordinated care and feedback loops, results in superior outcomes and cost savings.
Our services are convenient, accessible, and expert, combining personalized client engagement with advanced technology to enhance, not replace, human connection. Indeed, we hold that human-to-human relationships are indispensable, so from the match to the session to the time between sessions, we provide whole person care so nobody falls through the cracks and there is a brighter path forward for all.
\nIf you need any accommodations for your interview please email HR@headlight.health prior to scheduling.
Not meeting all the requirements? Research indicates that women, communities of color, and historically underrepresented individuals are often hesitant to apply for jobs unless they meet every qualification. We are committed to cultivating a diverse, inclusive, and genuine workplace. If you're enthusiastic about this position but your previous experience doesn't precisely match every qualification listed, we enthusiastically encourage you to submit your application. You could be the ideal candidate for this role or others!
Headlight is committed to the principles of diversity, equity, and inclusiveness and seeks to create a working environment reflective of this commitment. We seek to provide a diverse clinician base to support the diversity of our clients. Headlight supports and respects diversity of people, culture, and ideas throughout our organization. Headlight thrives to be a welcoming, diverse and discrimination- and harassment-free workplace.
By applying for this position, you consent to receive future communications from Headlight via email or text regarding this application and related employment opportunities. You may opt-out at anytime by contacting us directly.
Job Postings on Indeed and other job boards may post with total compensation (base + bonus). For the exact base salary range please check our website or our job-site
About Fullscript
Weâre an industry-leading health technology company on a mission to help people get better. We started in 2011 with one simple idea. Make it easier for practitioners to access the products they trust so they can deliver better care.
That simple idea grew into a platform that powers every part of care. Today, more than 125,000 practitioners use Fullscript for clinical insights, lab interpretations, patient analytics, education, and access to high-quality supplements. Over 10 million patients rely on Fullscript to stay connected to their care plans and follow through on treatment.
We build tools that make care smarter and more human. Tools that save time, simplify decisions, and help practitioners stay closely connected to the people they care for. When everything they need is in one place, they can focus on what matters most: helping people get better.
This is your invitation.
Bring your ideas, your grit, and your care for people.
Join us and shape the future of care.
Weâre hiring a Staff Machine Learning Engineer to join our AI team and help shape the next generation of Fullscriptâs AI-powered experiences. Youâll work on building innovative AI capabilities that help clinicians provide better services and help patients improve their health.
This is a senior individual contributor role for someone who can go beyond implementation. In addition to building high-quality systems, youâll help define technical direction, guide architecture decisions, and identify where AI can create meaningful value in clinical workflows. Youâll work with a high degree of autonomy and partner closely with engineering, product, analytics, and medical stakeholders to deliver scalable, reliable, and clinically useful AI experiences.
Why Fullscript
Great work happens when people feel supported, trusted, and inspired. At Fullscript, we stay curious and keep finding smarter ways to make care better. We grow together, take on new challenges, and focus on impact. We put people first, work as a team, and leave egos at the door.
What to Know Before You Apply
Weâre grateful for the interest in joining Fullscript. To make sure your application reaches our hiring team, please apply directly through our careers page. Weâre not able to respond to individual messages about open roles on email or social channels.
Fullscript is an equal opportunity employer committed to creating an inclusive workplace. Accommodations are available upon request at accommodations@fullscript.com.
All offers are contingent on successful background checks conducted in compliance with federal, state, and provincial laws.
We use AI tools to support parts of the hiring process, including screening and reviewing responses. Final hiring decisions are always made by people and follow all applicable privacy and employment laws in Canada and the U.S.
Learn More
@fullscriptHQ on instagram
AI Developer
Location: Remote | Experience Level: 2â3 years
Highstreet is developing next-generation agentic AI solutions that empower our public sector and education (SLED) clients to achieve real-world business outcomes. We are seeking an AI Developer who is eager to apply technical and creative thinking to the design, testing, and implementation of intelligent agents that drive innovation, efficiency, and compliance across enterprise environments.
Key Responsibilities
â¢Design, develop, and test AI agents to support business objectives and improve operational outcomes.
â¢Integrate agents with enterprise data sources, APIs, and workflows to ensure seamless functionality.
â¢Translate evolving AI capabilities into actionable business and sales use cases.
â¢Monitor the AI landscape and deliver quarterly capability assessments to identify emerging technologies and opportunities.
â¢Apply hands-on development skills in Python, Java, and SQL, including experience with systems design, database integration, and scalable agent architecture.
â¢Use PowerFx and JSON to structure agent schemas and configurations.
â¢Ensure all AI solutions align with SLED cybersecurity and compliance requirements.
â¢Apply prompt engineering and agentic workflow design to enhance reliability and alignment of AI systems.
â¢Experiment with and evaluate new AI services to expand Highstreetâs solution portfolio.
â¢Define and manage data governance boundaries, maintaining clarity around public vs. private data sources.
â¢Collaborate closely with senior analysts and solution architects to transform ideas into deployable solutions.
Qualifications
â¢2â3 years of experience in software development or applied AI.
â¢Bachelorâs degree in Computer Science, Information Systems, or a related technical discipline.
â¢Basic proficiency with LLM-based tools or workflow automation frameworks.
â¢Strong communication, curiosity, and problem-solving skills with an ability to adapt quickly in a fast-paced environment.
â¢Passion for artificial intelligence, innovation, and ongoing learning.
Preferred Experience (Nice to Have)
â¢Hands-on academic or portfolio projects involving LLMs, RAG, or intelligent workflow automation.
â¢Familiarity with LLMOps tools such as Semantic Kernel, LangChain, or vector databases.
â¢Knowledge of Copilot Agent Studio and Microsoft 365 Copilot.
Why Join Highstreet
â¢Make an Impact: Your work directly advances AI adoption across public and education sectors.
â¢Grow Your Career: Collaborate with industry experts and strengthen your skills in AI and Oracle Cloud technologies.
â¢Be Recognized: Creativity, initiative, and performance are celebrated and rewarded.
â¢Progressive Environment: Experience a modern, flexible workplace culture built for collaboration and growth.
â¢Career Development: Clear pathways for advancement within a high-performing team.
â¢Comprehensive Benefits: Competitive salary, bonus plan, 401(k) match, unlimited PTO, and full medical coverage.
Radformation is transforming the way cancer clinics deliver care. Our innovative software automates and standardizes radiation oncology workflows, enabling clinicians to plan and deliver treatments faster, safer, and more consistently, so patients everywhere can receive the same high-quality care.
Our software focuses on three key areas:
We are a fully remote, mission-driven team united by a shared goal: to reduce cancerâs global impact and help save more of the 10 million lives it claims each year. Every line of code, every product release, and every conversation with our customers brings us closer to ensuring no patientâs treatment quality depends on where they live.
In this role you will help advance Radformationâs AI-driven radiotherapy products by building and improving machine learning models that directly impact clinical workflows and patient outcomes.
You will work closely with AI, cloud, research, and product teams to develop scalable data pipelines, improve model performance, and support regulatory submissions for medical device software.
At Radformation we believe AI can be an incredible tool for innovation, but our hiring process is all about getting to know you, your skills, experience, and unique approach to problem solving. We ask that all interviews and assessments be completed without tools that generate answers in real time. This helps ensure a fair process for everyone and allows us to see your authentic work. Using such tools during the process may affect your candidacy.
We care about our people as much as we care about our mission. We offer competitive compensation, benefits, and the opportunity to make an impact in the fight against cancer. The salary range for this role is $160,000 - $200,000 USD base, plus bonus eligibility.
For US teammates (via TriNet):
Health & Wellness
Financial & Professional Growth
Work-Life Balance & Perks
For global teammates (via Deel):
At Radformation, we want every team member to feel supported, no matter where they live. For teammates outside the US, we provide benefits that align with local laws and standards, working with our Employer of Record (EOR) partners to ensure fairness and equity. This means your benefits package will be locally compliant, competitive, and designed to support your health, financial security, and work-life balance.
Cancer affects people from every walk of life, and we believe our team should reflect that diversity. Radformation is proud to be an equal opportunity workplace and an affirmative action employer. We welcome candidates from all backgrounds and are committed to fostering an inclusive environment for all employees.
Radformation does not accept unsolicited resumes from agencies without a signed agreement in place. We do not partner with third-party recruiters unless explicitly stated. All legitimate communication from Radformation will come from an @radformation.com email address. If you receive outreach from another domain or via unofficial channels, please contact careers@radformation.com.
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\nAs Point72 reimagines the future of investing, our Technology team is constantly evolving our firm's IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We're a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.
As a member of Point72's Technology team, we encourage and support your professional development from day oneâhelping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosityâall while delivering real business impact for our multi-billion-dollar global business.
As a GenAI Security Engineer, you will develop and implement next-generation security controls to protect the firm's agentic and human-in-the-loop GenAI systems. Specifically, you will:
About Us
Milskil is in its 24th year of providing high end training and support services to the ADF. We provide peak operational training solutions into the most challenging domains, including the AWC, F/A-18F, EA-18G, and F-35A programs. We pioneered high-end operational service provision as the Qualified, Experienced and Respected partner of choice to the Air Force, supporting operations across Australia and internationally.
With our dedicated corporate, support, project and operations management teams headquartered at Williamtown, and proven track record over two decades, your career is in safe hands at Milskil.
Your Opportunity
We're always on the lookout for the best of the best. Think you might be a good fit for Milskil?
Get in contact today!
Why join us?
Desired skills & Experience
We look for team members who are:
Get in contact today: Apply through our talent portal, or call our HR Team directly on +61 (0)2 4934 5555
Contentsquare is the all-in-one experience intelligence platform designed to be easily used by anyone who cares about digital journeys. With our flexible and scalable platform, organizations quickly get a deep understanding of their customersâ whole online journey.
We are a global leader in the experience analytics space, with a growing presence across 15 offices worldwide. Weâre here to stayâand weâre looking for team members who are excited to drive impact and help us scale even further.
Our aim is to create an inclusive workplace where everyone learns and succeeds. Contentsquare has built a community of individuals who are daring, understanding, and deliberate. We invite you to join us in making the complex simplerâfor our customers, their customers, and each other.
Important note: Be careful of scammers pretending to be from Contentsquare. We will never ask for money or contact you through random texts. Any communication from our in house Talent Acquisition team will only ever come from our contentsquare.com or @contentsquare-ext.com domain. For more information, visit our careers blog.
Please read:
1. This is a software engineering role. We are looking for applicants with minimum 5 years of software engineering experience, with a particular background in TypeScript. While we are building software on top of LLMs, this is not a machine learning role.
2. This role is remote (France, Spain, Italy, Poland, Germany) but can also be office-based (hybrid) in Barcelona, Paris, Milan, Munich or Cairo.
We're looking for a Senior Fullstack Engineer (Applied AI) to join one of several exciting product initiatives currently in progress that leverage the latest in AI, particularly using Large Language Models (LLMs). One example project is extending our AI CoPilot product (currently only available in Heap) to more surfaces, allowing users without expertise in product or digital experience analytics to answer their questions simply by asking them.
We are moving rapidly to leverage LLMs to reduce time to insight, make setup easier, and much more.
As our next Senior Software Engineer (Applied AI), you will be focused on product development, with a side of early product iteration. For example, we expect engineers to participate in user interviews as we validate product hypotheses.
This is an exciting opportunity to work in a âstartup within the startup.â We move quickly from idea to proof of concept to interview to product, ensuring that what we build provides actual value to our customers.
As LLMs and the related technologies are growing and changing rapidly, we are enthusiastic about new ideas and libraries but discerning â what we build is foundational.
We're a distributed team that operates across the US and Europe. We're open to hiring the right person anywhere within the US East Coast time zone or Europe.
\nWhy you should join Contentsquare
We invest in our people through career development, mentorship, social events, philanthropic activities, and competitive benefits. We are always assessing the perks we offer to ensure weâre aligned with the employees' needs.
Here are a few we want to highlight:
- Virtual onboarding, Hackathon, and various opportunities to interact with your team and global colleagues both on and offsite each year
- Work flexibility: hybrid and remote work policies
- Generous paid time-off policy (every location is different)
- Lifestyle allowance
- A Culture Crew in every country weâre based in to coordinate regular activities for employees to get to know each other and bond outside of work
- Every full-time employee receives stock options, allowing them to share in the companyâs success
- We have multiple Employee Resource Groups, that offer a safe space for individuals who share common identities, life experiences, or allyship to connect, support one another, and passionately advocate for the issues close to their hearts
- And more benefits tailored to each country
Contentsquare is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
Your personal data is used by Contentsquare for recruitment purposes only. Read our Job Candidate Privacy Notice to find out more about data protection at Contentsquare and your rights. You can exercise your rights by using our dedicated Data Subject Rights Portal here.
Your personal data will be securely stored in our hosting providerâs data center in Oregon (US west). We have implemented appropriate transfer mechanisms under applicable data protection laws.
Contentsquare may use AI-assisted tools to help review and screen applications. All decisions involving hiring are made by human reviewers, and your personal data will be processed in accordance with our Candidate Privacy Policy.
The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.
What if the systems you built changed how millions of developers work â not just at Spotify, but across the industry? The Platform Developer Experience (PDX) team builds the infrastructure and internal products that power how Spotify engineers ship software. Within PDX, the Wingspan team is building the next generation of fleet management and reimagining how we interact with AI agents â and bringing those capabilities to market through Portal, Spotifyâs external developer platform built on Backstage.
We are redesigning platform engineering around intelligent agents, large language models, and decision-aware automation. In this role, youâll lead a team shaping how AI becomes a core operating layer of modern platform infrastructure, directly improving how developers ship and maintain software at scale.
\n⢠Lead and grow a team building AI-native backend systems that orchestrate large-scale, autonomous fleet changes
⢠Define the technical vision for integrating LLM-powered reasoning and agent-based execution into production infrastructure
⢠Architect systems where AI agents analyze service metadata, generate safe change plans, execute updates, and validate outcomes
⢠Establish safety boundaries, evaluation frameworks, and observability models for AI-driven automation at scale
⢠Drive responsible AI adoption by embedding governance, auditability, and human-in-the-loop safeguards into system design
⢠Balance rapid experimentation with platform reliability, ensuring intelligent automation meets production-grade standards
⢠Partner with product and go-to-market teams to position Portal and AI fleet management as a leading developer platform
⢠Build a team culture grounded in curiosity, technical rigor, and continuous learning in emerging AI systems
⢠You have 3+ years of experience leading engineering teams working on distributed systems or developer platforms at scale
⢠You have 5+ years of experience in backend engineering with strong expertise in Java, Python, and/or Node.js
⢠You have experience integrating AI/ML systems, LLMs, agent frameworks, or AI-assisted tooling into real-world systems
⢠You understand how autonomous systems make decisions and how to design guardrails that ensure safety, reliability, and traceability
⢠You think in systems, considering data flows, model behavior, orchestration layers, and operational impact
⢠You are comfortable leading in emerging technical domains where patterns are still forming
⢠You create inclusive environments where diverse perspectives strengthen technical and product decisions
⢠You communicate clearly across engineers, product leaders, and executives about both the opportunities and risks of AI-driven systems
Full-time | Remote
Introduction:
Join us at Fastino as we build the next generation of LLMs. Our team, boasting alumni from Google Research, Apple, Stanford, and Cambridge is on a mission to develop specialized, efficient AI.
Fastino's GLiNER family of open source models has been downloaded more than 5 million times and is used by companies such as NVIDIA, Meta, and Airbnb
Fastino has raised $25M (as featured in TechCrunch) through our seed round and is backed by leading investors including Microsoft, Khosla Ventures, Insight Partners, Github CEO Thomas Dohmke, Docker CEO Scott Johnston, and others.
Innovate at the edge of efficiency by designing and deploying high-performance agentic systems that leverage Fastinoâs optimized model architectures to outperform traditional LLM benchmarks.
Bridge the gap between research and production by collaborating with engineering teams to turn novel architectural breakthroughs into scalable, low-latency solutions for enterprise customers.
Drive rapid, iterative prototyping of AI functionalities, refining model performance and task-accuracy based on real-world telemetry to ensure specialized models meet rigorous developer standards.
Own the stability and throughput of inference pipelines, proactively solving scalability bottlenecks to ensure models deliver consistent, reliable performance under massive operational loads.
Architect large-scale data and fine-tuning strategies to continuously improve the precision and domain-specific reliability of the Fastino models.
What Weâre Looking For:
Required:2+ years of hands-on experience in AI/ML engineering roles
Required: Demonstrated proficiency with LLMs and a track record of applying AI/ML techniques to solve complex, unstructured problems
Required: You are comfortable working across the stack from prompt engineering and vector DB tuning to Kubernetes deployment and API design.
Optional: Experience building microservices that handle high-concurrency agentic workloads.
Optional: Familiarity with GLiNER or other information extraction architectures.
Wealthsimple's mission is to help everyone achieve financial freedom â by making financial services simple, transparent, and low-cost. We're Canada's largest fintech, trusted by over 3 million clients with more than $100 billion in assets. We move fast, we own our work, and we care deeply about the people using our products. If that sounds like you, keep reading.
We're proud of what we've built â and we're just getting started. Read our Culture Manual and learn more about how we work.
The AI Systems team is focused on building Wealthsimple's first-party AI tools and platforms. We design, develop, and operate the systems that bring AI capabilities directly into the hands of our teams and clients - from intelligent assistants and workflow automation to internal productivity tools powered by large language models.
We're looking for software developers who are excited about building production-grade AI systems end-to-end: from frontend interfaces to backend services, infrastructure to deployment. This isn't a research role - it's a hands-on engineering role where you'll ship real products, collaborate with stakeholders across the company, and continuously evolve our AI platform as the technology and our needs grow.
Design, build, and operate first-party AI tools and platforms that serve internal teams and Wealthsimple clients.
Develop full-stack features across React frontends and Golang backend services, delivering complete, production-ready systems.
Work closely with stakeholders across product, engineering, operations, and business teams to identify opportunities for AI-driven features and translate them into working software.
Build and maintain containerized microservices, ensuring our AI platforms are reliable, scalable, and easy to deploy.
Integrate large language models and other AI capabilities into our tools through well-designed APIs and service layers.
Contribute to platform architecture decisions, helping shape how AI systems are built and operated at Wealthsimple.
Iterate quickly on new features and prototypes, balancing speed of delivery with long-term maintainability.
Establish patterns and best practices for AI system development that other teams can adopt.
React for frontend development
Golang for backend services
Container-based architecture (Docker, Kubernetes)
AWS infrastructure
PostgreSQL and Redis for data persistence and caching
LLM APIs and AI/ML tooling
Datadog, Sentry, and Mixpanel for monitoring and observability
AI-assisted development workflow
Experience building and shipping production software as a full-stack or backend-focused developer.
Strong proficiency in Golang and React, or demonstrated ability to ramp quickly on both.
Hands-on experience with containerized architectures (Docker, Kubernetes) and cloud-native deployment patterns.
Interest in or experience with AI/ML systems, LLM integrations, or building AI-powered products.
Ability to work across the full stack - from crafting user interfaces to designing APIs and backend services.
A product-oriented mindset: you care about the end-user experience and work with stakeholders to deliver features that solve real problems.
Clear communication with both technical and non-technical teams.
Comfort operating in a fast-moving environment where priorities and technology evolve quickly.
Experience building developer tools, internal platforms, or productivity software.
Familiarity with LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, or retrieval-augmented generation (RAG) patterns.
Background in building event-driven or streaming architectures.
Experience with CI/CD pipelines and infrastructure-as-code.
Background in financial services or regulated industries.
ð¸ Top-tier health benefits and life insurance
ð Long-term group savings with employer match, through Wealthsimple for Business
ð´ 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year
âï¸ 90 days away: work outside Canada for up to 90 days per year
ð¥ Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS
ð We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work.
Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work â whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building.
Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.
Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know â we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs.
AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment â all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.
About Swayable:
Swayable is a fast-growing AI and automated data science platform that measures public opinion and the impact of messages and advertising content on it. We are a 40-person team backed by top technology and social impact investors, including Y Combinator. Founded in 2018 by physics PhDs, it is led by the former Executive Director for Digital Strategy at the New York Times. Clients include major consumer-facing brands (American Express, Airbnb, Paramount Pictures), technology companies (Anthropic, Meta, Amazon), academic researchers (MIT, Yale, Stanford) and mission-aligned civic advocacy campaigns (e.g. on climate, human rights and elections).
Joining Swayable means being on a team whose work changes the course of history. The technology we develop is at the leading edge of transforming some of the world's most important campaign organizations and enterprises: combatting disinformation, protecting democracy, and supporting the sustainable growth of consumer-facing brands. Check our our values & culture deck to learn more: https://tinyurl.com/4zjchwzs
About The Role:
This is a uniquely exciting opportunity to tackle critical unsolved problems in public opinion research and causal modeling. As a Research Data Scientist (reporting to the Director of Data Science), you'll have the infrastructure and talent around you to turn results into new discoveries, prototypes and features that deliver insights to the world's most important organizations.
What You'll Do:
Who You Are:
This role is for one of our clients
$15 - $30/hourpay
Job Type: Contractor
Location: Remote
\nWe are seeking highly skilled tax professionals with deep expertise in U.S. Tax Law to contribute to the development and evaluation of next-generation AI systems. In this role, you will apply your knowledge of federal taxation, statutory interpretation, and regulatory analysis to help improve how AI models understand, interpret, and reason about complex tax concepts and legal frameworks.
This opportunity is ideal for professionals who combine strong technical tax expertise with analytical thinking and attention to detail.
ð¸Â Up to USD 80,000 per year, on a full time, contractor contract Â
ð Fully remote working!Â
⨠Opportunity to work close to major basketball and sports clients, including the live rhythms of the season, playoffs, Finals, Draft, offseason, and tentpole content moments.Â
ð» Modern tooling environment where we expect thoughtful use of AI to improve speed, quality, repeatability, and team performance
âââââââ
Working Hours: this role must align closely with US Eastern Time across weekdays (regardless of your location).Â
ABOUT US
Storyteller is a high growth B2B SaaS platform which allows companies to integrate Stories into their owned and operated platforms. Popularized by Instagram and Snapchat, Stories are perfectly suited for boosting user engagement, audience retention, and driving advertising revenue. For customers, building their own stories experience can take years and a lot of investment however Storyteller has solved this by allowing companies to integrate in days, not years all for one monthly cost.
Our endâtoâend platform gives companies a bestâinâclass Stories experience in days with native iOS, Android, and Web SDKs, publishing tools, analytics, and ad support.  Â
The RoleÂ
This role owns one of our largest and most valuable clients - a globally recognisable name in major US sport - end to end. Youâre the day-to-day lead: you drive the work, keep a complex set of projects moving, and make sure things ship. You also spot where the account can grow, and go after it.Â
Youâll work across product, engineering, delivery and content, and youâll unblock whatâs stuck rather than wait to be told itâs stuck. Itâs a role with genuine autonomy, and genuine accountability for what gets delivered.Â
Sports Focus
Our client is in major US sport, which sets the rhythm of the work. A playoff run, a trade, a Draft moment or an injury can shift priorities overnight. Basketball knowledge helps here - not as trivia, but because it lets you anticipate those moments rather than react to them.Â
You donât need to be an analyst, but you should be genuinely interested in the sport and understand the shape of an NBA season, from regular season through Playoffs, Finals, the Draft and free agency. The strongest candidates will sense how fan behaviour, content timing and client pressure shift across it.Â
What You'll Do
What We Are Looking For
RECRUITMENT PROCESSÂ
And thatâs it!Â
ð EverAI â Building the Future of AI Companionship
One of the Top 15 Largest & Fastest-Growing AI Companies in the World
50 Million Users in 2 years â Help Us Reach 100M first, 500M next
At EverAI, weâre shaping what it means to connect with AI. With 50 million users and counting, we're not just building products â we're creating entirely new categories.
Our flagship product is the worldâs largest AI companionship platform, redefining relationships for millions. It is governed by our proprietary moderation system, EverGuard â an internal AI designed to ensure everything we build is safe, ethical, and human-first.
And weâre only just getting started!
We are an enthusiastic, passionate and hardworking team of â 75 people. Our founding team has strong entrepreneurial experience building and scaling web products from 0 to IPO.
Alexis Soulopoulos [CEO]
⢠10+ years in Tech Executive Leadership
⢠Co-Founder Mad Paws Holdings (from 0 to IPO)
⢠Forbes 30 under 30 + Deloitte TechFast50 â22 & â23
Michael Monin [Co-founder & CTO]
⢠10+ years as CTO / COO (web2/web3), 1+ year in AI/LLM
⢠Serial-entrepreneur: MTK Digital (exited / 0->$20m revenue) and Zipchat (AI Chatbot for E-commerce brands)
Thomas Lacroix [Co-founder & CMO]
⢠8+ years in Customer Acquisition & E-commerce Growth
⢠Serial-entrepreneur: Curatible (sold to Blackstone) and MTK Digital (exited / 0->$20m revenue)
MarusÌa Fasano [CFO/Legal]
⢠25+ years in Finance, Strategy, M&A
⢠Ex-CFO/M&A @Curatible (exited to Blackstone)
⢠Ex-President of the Board @SotremoSA (exited)
⢠Co-founder/CFO @SoftOne (exited)
We are looking for a Mid/Senior AI Cinematic Video Editor who is deeply embedded in generative video workflows and can independently craft high-quality, narrative-driven content from concept to final output.
You are a sharp-eyed video editor comfortable operating at the intersection of creativity and emerging technology, building visually compelling long-form videos using AI-first pipelines. You take ownership of the entire production stack â from prompting and generation to editing, compositing, graphic design work and final delivery. You thrive in a high-performance environment where your quick wits and passion for story-telling shine.
Reporting to your Content Lead, this is what you'll be doing:
Conceptualise scripts based on current production needs and centred around existing AI characters (our own IPs)
Create narrative-driven, longform video content, including stylized and explicit NSFW visuals, with a strong focus on storytelling, atmosphere, and visual coherence throughout
Own and manage end-to-end AI video production workflows, from ideation and prompting to generation, editing, and post-production
Utilise tools such as Kling, Seedance, Happy Horse and other AI video models/platforms to produce high-quality visual sequences
Develop and maintain consistent character appearance, style, and scene continuity across longer narratives using advanced techniques
Integrate motion graphic design and colour correction to deliver cohesive final outputs
Experiment rapidly with new AI models, tools, and techniques, incorporating them into production workflows and sharing skills with the rest of the team
Align with your Content Leadâs creative direction while maintaining a high degree of autonomy in execution and technical decision-making
Continuously refine workflows for efficiency, scalability, and output quality
4â6+ years of experience in video production, VFX, or digital art, with a strong portfolio (AI-driven video work is a must)
Hands-on experience with the latest AI video tools and models (e.g., Kling, Seedance, Happy Horse, and similar emerging options)
Solid understanding of AI image/video generation pipelines, including prompting, batching, consistency techniques, and post-processing
Experience with traditional tools like Premiere Pro, After Effects or similar for final assembly and polish
Strong grasp of visual storytelling, pacing, composition, and cinematic language
Ability to maintain character and scene consistency across sequences in AI-generated content
ð£ Strong communication & collaboration skills (fluent in English)
ð¯ High ownership â able to take ideas from concept to completion independently
â¡ï¸ Experimental mindset â comfortable navigating ambiguity and evolving tools
â±ï¸ Fast iteration cycles â able to test, fail, refine, and improve quickly
ð§ Curious and self-driven â constantly exploring new AI capabilities and workflows
ð§¢ Open to feedback and continuous improvement
ð #NSFW â Comfortable working with uncensored models and explicit adult content
Experience in AI-native storytelling or filmmaking
Background in 3D, VFX, technical art or as a colourist
Familiarity with training/customizing models (LoRAs, embeddings, fine-tuning)
Prior experience in adult, dating, or adjacent creative industries a huge bonus
Experience with ComfyUI
Experience with Stable Diffusion / AUTOMATIC1111 and related tooling (Advanced prompting, working with trained LoRAs, refining, upscaling, inpainting etc.)
ð Exponential Growth: From 50M users in 2 years, to 100M next â and 500M beyond
ð Track Record of Category-Creating Innovation: We consistently launch world-first AI applications â setting the pace, not following it
ð Global Impact: Top-tier user growth, real-world adoption, and cultural relevance
ð§  Proven Leadership: A senior team thatâs launched, scaled, and exited & IPOâd multiple scale ups â now fully focused on reshaping AI companionship
ð¥Â Elite Remote Team: 100% remote and built to win â world-class talent from Tier 1 tech companies, with a culture of ownership, velocity, and radical creativity
ð¡ï¸Â Ethical Core: Our AI ecosystem is governed by EverGuard, our proprietary AI moderation technology, ensuring responsible development at scale
âï¸Â Contract Type: We prefer B2B, but weâre flexible, what matters is long-term commitment and impact
ð Work From Anywhere: Fully remote. Choose the environment where you do your best work
ðï¸Â Paid Time Off: 4 weeks (20 working days) of PTO per year to recharge and reset
ð¨âð©âð§âð¦Â Annual Gathering: A yearly in-person meetup to connect, brainstorm, and celebrate wins together
â¤ï¸âð©¹Â Health & Wellness Support: Monthly allowance of 100 USD for health insurance expenses + unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp (also available for up to three family members)
ð¢Â Co-Working Space Budget: Work from a co-working space up to twice per month (35 EUR / 40 USD per visit) to stay inspired and connected
ð Learning Budget: Dedicated funds to support your professional growth: courses, books, conferences, events, or certifications
ð»Â Equipment: Company laptop provided + monitor budget up to 250 USD for your workspace setup
â¡Â AI Tools Access: Premium access to ChatGPT, Cursor, Hugging Face, Claude Code, and any other tool needed to excel at your job, power your ideas and workflows
Weâre a fully remote group of A-players from Tier 1 tech, led by an exec team whoâve launched, scaled, and exited multiple companies. We move fast, and care deeply about what we build â and who we build it with.
Weâre looking for exceptional talent ready to ship & distribute world-first AI products at scale, fast, and co-create with us this category-defining business.
If thatâs you â reach out and apply!
Know someone who could be a great fit for this role? You can refer them through the EverAI External Referral Program and earn a bonus of up to 2,500 USD if theyâre hired. Submit a referral here.
AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That's where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspaceâso teams can ship faster with confidence.
We're a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.
As an AI Solutions Manager, you'll partner with some of the most innovative AI/ML teams in the world. You'll play a pivotal role in driving adoption, shaping product use cases, and ensuring our SMB and Mid-Market customers succeed in leveraging AI to achieve real-world impact. This role offers a unique chance to grow alongside a leading AI company and gain deep insights into cutting-edge AI/ML applications.
Our engineering team builds systems that interact with some of the most complex software ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more.
As an AI Solutions Manager, your work will directly contribute to our custome
Please mention the word **GRATITUDE** and tag ROjox when applying to show you read the job post completely (#ROjox). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
As Head of Forward Deployed Engineering, AMER (FDE) at Parloa, you own the success of enterprise AI deployments. Your mission is to build and lead a world-class FDE organization that delivers predictable, high-quality, and scalable enterprise implementationsâwhile continuously feeding field insight back into product and platform evolution.
You are responsible not just for delivery excellence across projects, but for shaping how Parloa scales enterprise AI adoption. You define the operating model, elevate technical standards, build leadership capacity within the FDE org, and ensure that what we deploy repeatedly becomes productized.
FDE is where product meets enterprise reality. As Head of FDE, you ensure that reality strengthens the product rather than fragmenting it.
Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there.
This is a rare chance to apply frontier sequential recommendation architectures to real enterprise problems at scale. You will own applied ML work end-to-end for recommendation system workloads, adapting Liquid Foundation Models for customers who need personalization and ranking capabilities that run efficiently under production constraints.
Unlike most recommendation roles that are siloed into a single product surface, this role gives you full ownership over how large-scale recommendation models are adapted, evaluated, and deployed for enterprise customers. Between engagements, you will build reusable applied tooling and workflows that accelerate future delivery.
If you care about data quality at scale, user behavior modeling, and making recommendation systems actually work in enterprise production environments, this is the role.
We need someone who:
Takes ownership: Owns customer recommendation system engagements end-to-end, from requirements through delivery and evaluation.
Thinks at scale: Can reason about user interaction data, sequential modeling, feature engineering, and evaluation across large-scale production systems.
Is pragmatic: Optimizes for measurable customer outcomes (engagement, conversion, revenue lift) over theoretical novelty.
Communicates clearly: Can translate between customer business metrics and internal technical decisions, and push back when needed.
Act as the technical owner for enterprise customer engagements involving recommendation and ranking workloads
Translate customer requirements into concrete specifications for recommendation models
Design and execute data pipelines for user interaction data, feature engineering, and training data curation at scale
Fine-tune and adapt large-scale sequential recommendation models (e.g., HSTU-style architectures) for customer-specific use cases
Design task-specific evaluations for recommendation model performance (ranking quality, latency, throughput) and interpret results
Build reusable applied tooling and workflows that accelerate future customer engagements
Must-have:
Hands-on experience building or fine-tuning recommendation models at scale (not just off-the-shelf collaborative filtering)
Experience with sequential recommendation architectures, user behavior modeling, or large-scale ranking systems
Strong intuition for data quality and evaluation design in recommendation contexts (offline metrics, A/B testing, business metric alignment)
Experience with large-scale data pipelines for user interaction data and feature engineering
Proficiency in Python and PyTorch with autonomous coding and debugging ability
Nice-to-have:
Experience with transformer-based recommendation architectures (HSTU, SASRec, BERT4Rec, or similar)
Experience delivering recommendation systems to external customers with measurable business outcomes
Familiarity with serving recommendation models under latency and throughput constraints
Independently owns and delivers enterprise recommendation system engagements with minimal oversight
Is trusted by customers as the technical owner, demonstrating strong judgment on the tradeoffs between model quality, latency, and business impact
Has built reusable applied workflows or tooling that accelerate future customer engagements
Real ML work: You will build and adapt large-scale recommendation models for enterprise customers, working with frontier architectures like HSTU under real production constraints.
Compensation: Competitive base salary with equity in a unicorn-stage company
Health: We pay 100% of medical, dental, and vision premiums for employees and dependents
Financial: 401(k) matching up to 4% of base pay
Time Off: Unlimited PTO plus company-wide Refill Days throughout the year
Somos um dos maiores bancos privados do Brasil, conforme o ranking do Banco Central. E temos muito orgulho em dizer que, pelo segundo ano consecutivo, fomos reconhecidos como a melhor instituição financeira para trabalhar no Brasil, segundo o ranking da GPTW 2025! Também recebemos o selo de Diversidade na categoria Mulher, reforçando nosso compromisso com a equidade.
Nossa cultura acontece de verdade: sendo simples, corretos, parceiros e corajosos. Valorizamos as relações, a inovação e um ambiente leve, cada vez mais colaborativo e com intencionalidade no avanço da diversidade e inclusão.
Estamos em constante evolução e construÃmos #parcerias de sucesso para entregarmos nosso propósito de tornar mais tranquila a vida financeira de pessoas e empresas.
Se identificou? Então venha trabalhar com a gente!
\nDiversidade e inclusão
O BV atua intencionalmente em prol da aceleração da equidade e representatividade no mercado financeiro, respeitando e apoiando a diversidade em toda sua pluralidade e interseccionalidade, garantindo uma transformação social positiva.
Por isso, convidamos pessoas negras, mulheres, profissionais com deficiência, comunidade LGBTQIA+ e pessoas de qualquer idade a conhecerem a gente um pouco mais e a se inscreverem nesta vaga.
COMPANY SUMMARY
Sorcero's medical AI platform transforms life sciences decision-making, accelerating patient access to life-saving treatments. By harnessing insights from global medical data, we empower industry leaders to deliver breakthrough therapies. Founded in 2018 by pioneers in AI, public health, and personalized content, Sorcero is a Certified B Corp headquartered in Washington, DC. Our innovation has been recognized by over a dozen awards, including Fast Company's Most Innovative companies of 2024, and six foundational medical AI patents. For more information, visit www.sorcero.com.
WHY JOIN SORCERO?
Sorcero transforms decision-making in life sciences by empowering stakeholders with insights to improve patient outcomes. By joining our team, you will play a critical role in our growth and success by collaborating with our network of passionate entrepreneurs to build a scalable, impactful organization. Sorcero provides a supportive community to bring out the best in each of us through flexible working arrangements and meaningful interactions with global teammates.
Our employees are driven by these common values:
Our cutting-edge solutions empower the world's leading scientists, researchers, and subject matter experts to drive groundbreaking advancements. If you're passionate about innovation and eager to tackle complex challenges, we invite you to join our team. Together, we'll shape the future of life sciences.
THE MEDICAL AFFAIRS SOLUTIONS MANAGER
We are seeking an experienced Medical Affairs Subject Matter Expert with Medical Operations experience to join Sorcero. The ideal candidate will bridge the gap between Medical Affairs Strategic needs and cutting-edge AI technologies, driving innovation and value creation for our pharmaceutical clients. With a strong desire to revolutionize how the Pharma and Biotech industries utilize multi-source intelligence and drive evidence based strategic decisio
ð¨ð¦Â CAD 95,000 to CAD 110,000 salary, depending on experience, on a full time, permanent employment contract Â
ð Fully remote working anywhere in Canada!Â
ðï¸ 33 Days Paid Leave and BenefitsÂ
⨠Opportunity to work close to major basketball and sports clients, including the live rhythms of the season, playoffs, Finals, Draft, offseason, and tentpole content moments.Â
ð» Modern tooling environment where we expect thoughtful use of AI to improve speed, quality, repeatability, and team performance
âââââââ
Working Hours: this role must align closely with US Eastern Time across weekdays (regardless of your location).Â
ABOUT US
Storyteller is a high growth B2B SaaS platform which allows companies to integrate Stories into their owned and operated platforms. Popularized by Instagram and Snapchat, Stories are perfectly suited for boosting user engagement, audience retention, and driving advertising revenue. For customers, building their own stories experience can take years and a lot of investment however Storyteller has solved this by allowing companies to integrate in days, not years all for one monthly cost.
Our endâtoâend platform gives companies a bestâinâclass Stories experience in days with native iOS, Android, and Web SDKs, publishing tools, analytics, and ad support.  Â
The RoleÂ
This role owns one of our largest and most valuable clients - a globally recognisable name in major US sport - end to end. Youâre the day-to-day lead: you drive the work, keep a complex set of projects moving, and make sure things ship. You also spot where the account can grow, and go after it.Â
Youâll work across product, engineering, delivery and content, and youâll unblock whatâs stuck rather than wait to be told itâs stuck. Itâs a role with genuine autonomy, and genuine accountability for what gets delivered.Â
Sports Focus
Our client is in major US sport, which sets the rhythm of the work. A playoff run, a trade, a Draft moment or an injury can shift priorities overnight. Basketball knowledge helps here - not as trivia, but because it lets you anticipate those moments rather than react to them.Â
You donât need to be an analyst, but you should be genuinely interested in the sport and understand the shape of an NBA season, from regular season through Playoffs, Finals, the Draft and free agency. The strongest candidates will sense how fan behaviour, content timing and client pressure shift across it.Â
What You'll Do
What We Are Looking For
RECRUITMENT PROCESSÂ
And thatâs it!Â
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$4,000 - $12,000 USD/mes
Very High
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