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Machine Learning Fellow Jobs

5,331 active opportunities · Updated for October 2026

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Explore current machine learning fellow jobs. Use filters to narrow by work mode, employment type, experience and date posted.

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? This role will focus on evaluating coding tasks, requiring you to review and debug code, navigate repository architecture, and analyze model trajectories. Your work will contribute to our model development efforts and the logic our models apply when completing task requests. Please note : This is a part-time independent contractor position available within Canada. We seek candidates who are able to commit to 16 hours per week minimum at a 40 CAD/hour contract rate. This role is BYOD 💻 - Bring Your Own Device (laptop). Remote work within Canada. 12 month contract. Performance incentives included! As a Data Annotation Specialist, you will: Evaluate the model's ability to respond to coding requests, workflows, and code base-related questions using available tools. Assess agent trajectories and model capabilities for code generation and debugging requests. Prompt models to complete complex coding tasks and review the accuracy of generated responses. Label, proofread, and improve machine-written and human-written software engineering-related outputs. Report quality and performance trends related to model/agent behavio

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Location : Come and join us in Hamburg or Berlin! Following Lyft’s acquisition of Freenow, we are looking for a Senior TPM to lead the technical workstreams that get us to Day 1 readiness — the period between signing and closing — and to set up the integration that follows. This is a high-stakes, high-visibility role reporting into the EU Tech Leader, with direct exposure to Freenow and Lyft leadership. You will be the single point of accountability for technical Day 1 readiness. That means making sure every employee, every office, and every critical system is ready to operate underFreenow by Lyft from the moment the deal closes — and that the integration stream is up and running the day after. You will also be the TPM accountable for the integration of future acquisitions Freenow makes. This is not a role for someone who wants to administer a project plan. You are expected to be technically credible, opinionated, and comfortable holding senior people to account across IT, Security, Infrastructure, Engineering, Legal, People, and Finance. You make decisions when others stall, escalate cleanly when you can’t, and keep the whole machine moving. YOUR DAILY ADVENTURES WILL INCLUDE: Day 1 readiness. Own the end-to-end technical readiness plan between signing and closing. Define what “ready” means, track every workstream against it, and call the go/no-go on technical readiness for Day 1. IT and workplace cutover. Coordinate identity and system access (SSO, IdP, mail, productivity suite, engineering tooling), hardware provisioning and re-imaging, and office setup including network, VPN, Wi-Fi, meeting rooms, and physical access. Make sure nobody shows up on Day 1 unable to work. Security and compliance posture. Partner with Security and Legal to make sure the technical environment meets the new shareholder’s requirements on Day 1 — access controls, data handling, audit trails, vendor relationships. Integration stream kickoff. Stand up the technical integration workstreams

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As a member of the SpaceXSI infrastructure team, you will apply your knowledge, experience, and creativity to help design, build, and activate some of the world’s most technically advanced data centers and AI compute facilities. The Construction and Infrastructure team builds the machine that makes the machine—in this case, the hyperscale facilities that power the world’s most advanced AI systems. Process flow, equipment integration, project planning, and detailed department-level metrics and dashboards all fall under the scope of this role. If you like strategic planning, juggling many different priorities, improving processes, and spending your time in a dynamic, fast-paced work environment, then this team may be for you! This role will report directly to the department head and serve as a key resource org-wide. RESPONSIBILITIES: Develop internal visual standards for internal work boards, JIRA queuing, PowerBI dashboards, and department workflow Support department continuous improvement projects such as new process rollouts/standardization Integrate with all levels of the business to understand current workflows and identify systematic gaps Define and develop d

pythonsqlai
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OpenAI
📍 San Francisco• Full-time
4mo ago

About the Team The Safety Systems team is dedicated to ensuring the safety, robustness, and reliability of AI models and their deployment in the real world. Building on the many years of our practical alignment work and applied safety efforts, Safety Systems addresses emerging safety issues and develops new fundamental solutions to enable the safe deployment of our most advanced models and future AGI, to make AI that is beneficial and trustworthy. Learn more about OpenAI’s approach to safety About the Role As an Analytics Engineer in Safety Systems, you will play a pivotal role in building a data-centric culture, enhancing decision-making processes, and driving strategic initiatives through analytics. You will partner closely with Engineering, Research, and Data Science to develop and maintain canonical data sources and source-of-truth dashboards that enable both people and AI agents across the organization to derive trustworthy, actionable insights. You will own the consumption layer for safety metrics: defining intuitive, reliable ways for stakeholders across Safety Systems, partner teams, and leadership to understand the safety of our products, answer safety-related questions independently, and inform product decisions and company strategy. Most importantly, you will be a core member of the Safety Systems team, collaborating with researchers and engineers to advance our goals of safe, robust, and reliable AI. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design and maintain canonical datasets that serve as sources of truth for safety metrics. Develop and refine data products such as dashboards, reports, agent-enabled workflows, and machine-readable interfaces that empower stakeholders to extract and analyze data independently. Work closely with stakeholders in Engineering, Research, and Data Science to understand their decision-making n

sqlawsrest
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Roblox
📍 San Mateo• Full-time• $345K – $399.4K/yr
4mo ago

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Principal Software Engineer on the Compute team, you will be the technical anchor for Roblox's GPU and AI accelerator capabilities. This is a battle-tested GPU expert role focused on the machine management layer and above: how GPU hosts are made production-ready, kept healthy, and turned into reliable compute for the workloads that depend on them. You will own the hard problems that show up only at scale, from driver and firmware management to GPU health, reliability, and performance across a rapidly growing fleet of accelerators spanning Roblox data centers and cloud environments. You will set the technical direction for GPU compute and up-level the entire organization's GPU expertise. You will: Serve as the GPU technical leader for the Compute team, partnering across Kubernetes, Machine Bootstrap, Networking, and Cloud to drive GPU strategy end to end. Own the GPU host lifecycle above raw fleet management: driver, firmware, and CUDA stack management, GPU health and telemetry, and remediation of GPU-specific failures (XID errors, ECC, thermal, NVLink and fabric faults). Architect how GPU capacity is exposed to compute platforms, including scheduling, isolation, and integration with Ku

kubernetesai
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Vercel
📍 San Francisco• Hybrid• $232K – $348K/yr
4mo ago

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role: We're looking for a leader to build and run Vercel's Product Strategy & Operations function from the ground up. This is a senior, cross-functional role that sits at the heart of the EPD organization and works in close partnership with the CPO, EPD Leads, GTM leadership, and Finance. You will own three things above all else: the rigor that makes our high-velocity shipping machine sustainable, the measurement infrastructure that tells us whether our products are succeeding after they launch, and the planning systems that keep our roadmap and revenue plan sharp, funded, and aligned across the company. This is a strategic leadership position for someone who thinks deeply about product markets and business models, builds world-class operating systems, and uses data to drive decisions that matter. If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What You Will Do: Own the EPD rhythm of business: weekly operating reviews, monthly business reviews, planning cycles, and roadmap processes — building minimum viable process for each. Run the ShipOps function to enable Launch Calendar reviews and Vercel’s high velocity “You Can Just Ship Things” approach. Establish a "product landing" framework — a structured post-launch process that goes beyond the ship date to ensure new fe

financewarehouse
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Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io. At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career. We are looking for a Platform Security Director to lead the engineering of our security infrastructure. Your mission is to build a Security Machine that is as sophisticated as our AI. You will move us beyond traditional "defense" into a "Secure-by-Default" reality, where our multi-cloud infrastructure ( AWS and Azure ) is hardened, automated, and resilient by design. You’ll Own: The end-to-end security strategy across Application Security, Cloud (AWS/Azure), and Platform layers, ensuring a Secure-by-Default framework, as measured by deployment coverage, critical vulnerability reduction, and developer adoption metrics. A unified Security Engineering organization covering AppSec, SecDevOps, and AI Security leadership, collaboration points with adjacent teams (Infrastructure, R&D, Product Engineering), and building and mentoring a high-performing tea

typescriptpythonjava
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Senior: PLN 260,400 - 352,200 Staff: PLN 350,700 - 474,400 Subject to alignment to the responsibilities and duties of the role - we currently have multiple positions available at both Senior and Staff level. Location: Gdańsk. This role is not available as fully remote. About the job Build the AI compute libraries that turn next-generation hardware into real performance. As a Staff Software Engineer, you will design and optimise high-performance compute kernels for AI workloads. You will work across linear algebra, tensor operations, numerical correctness and low-level performance. Your work will help customers get more from advanced AI hardware. That means shaping the libraries behind faster, more reliable AI systems at scale. You will write C++ and Python, profile on Linux and make hard trade-offs across memory, threading and numerical behaviour. You will also guide technical direction, review designs and help engineers make better decisions. This role suits someone who wants deep technical ownership without moving away from hands-on engineering. The team and culture You will join the ML Kernels & Runtime team, which builds the compute libraries that expose hardware performance to customers. The work is technical, detailed and close to the machine. Engineers own problems from design through validation, benchmarking and production quality. Decisions are made through evidence, clear technical reasoning and open debate. You will move quickly, speak up when something can be better and help others raise the quality of their work. Leadership here means taking responsibility for outcomes, not waiting for permission. What we’re looking for Excellent C++ and Python skills, with experience building performance-sensitive software Strong understanding of processor architectures, Linux profiling and low-level optimisation Proven technical leadership, including guiding engineering direction, reviewing designs and mentoring others Ability to balance hands-on implem

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Job Summary The Mold Set Up Technician (hiring title: Manufacturing Engineer Technician I) is responsible for set up, heat up, start up, material handling, operating, quality control, troubleshooting, changeovers and adjusting process settings for plastic injection molding presses and related equipment per set up sheet in the plant. Ongoing training is required in this role and will include: Arburg machines, Wittmann central material preparation, optical measuring system, quality requirements, Hydra Software and other training as determined. Off-site training and travel may also be required on occasion. Responsibilities Responsible for set up, heat up, start up, operating, troubleshooting, and adjusting process settings for plastic injection molding presses and related equipment per set up sheet in the plant. Demonstrate problem solving and strong troubleshooting skills supporting injection molding process. Train and assist shift personnel, machine operator, etc. Assist maintenance with troubleshooting and equipment repair as directed. Provide analysis, spreadsheets related to molds and injection molding processes. Experience in mold care, repair, installation & removal of molds. Ability to perform cavity/core changeovers, maintenance of all mold tooling in the department. Perform preventive maintenance on molding equipment (hopper, dryer, TCU, conveyor) and molds. Ability to oversee, monitor and perform all operations for the entire plastics injection molding department on his/hers shift. Ensures safety and housekeeping standards are maintained. Works on and feel safe working on and handling tools up to 2 tons. Assists and trains others in job as needed. Responsible for area cleanliness and organization according to workplace standards. Performs related duties as assigned by supervisor. Follows procedures associated with ISO 9001, ISO 14001, and OSHAS 18001. Follows necessary PPE Requirements for a given work center. Qualifications Associate Degree

Supabase is the Postgres development platform, built by developers for developers to help them ship countless products that people love. More than 7 million developers trust us with their data, and we are custodians of every byte of it. Security is foundational to that trust, and as we move deeper into AI-native development, regulated industries, and enterprise, it shapes whether a developer chooses us on day one and whether a regulated company can build their most sensitive workloads on Supabase. About the role We're looking for a PM who can balance the constant tension between security and developer experience at platform scale. Every control you add is friction a developer has to absorb, and every default you loosen is a door an attacker could walk through. Finding the right balance between protecting customers and keeping them fast is the work of this role. You'll partner with Security Engineering, Compliance, and the platform teams that own auth, networking, and audit. This is a remote position and we're open to considering candidates located across EMEA and AMER time zones. In This Role You Will Set the security agenda for the platform. Lead Supabase's platform security roadmap end-to-end, from the defaults that protect a developer prototyping their first project to the advanced controls a Fortune 500 CISO needs before approving us. Hold the line between security and developer experience. Every security feature trades protection against friction. A control that's too strict pushes developers off the platform; one that's too easy to bypass doesn't protect anyone. Lead our security strategy for AI agents. Agents now read, write, and deploy on behalf of developers and companies, often at machine speed. You'll lead how Supabase authenticates, scopes, and audits agent activity so customers can give them real capability while staying in control of their data. Own our security product surface. Drive the roadmap for the security tooling customers use to operate safely

aigorust
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Roblox
📍 San Mateo• Full-time• $243.3K – $295.3K/yr
5mo ago

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Roblox's Cache team is building a next-generation caching solution designed to deliver sub-millisecond average latency, horizontal scalability, and high efficiency—all at a drastically lower cost. Our ultimate vision is to shape a caching infrastructure capable of supporting 1 billion Daily Active Users while reducing costs by 90%. We are turning hours of onboarding and capacity expansion into seconds, freeing service owners entirely from managing cluster lifecycles. As a Senior Engineer on the Cache team (part of the Infra Storage org), you will innovate and operate large-scale, in-house distributed systems to solve Roblox's ever-growing caching challenges. You will report directly to the Engineering Manager for the Cache team. (Check out our recent engineering blog post here to learn more about the team's latest work!) You will: Lead the architectural transition to a next-generation, multitenant caching service built on ValKey, ensuring strict data, resource, and failure isolation for all tenants. Drive systemic optimizations to mitigate head-of-line blocking, manage hot keys, and maximize CPU and memory utilization across physical machine clusters. Design and build robust frameworks to a

rediskubernetesc++
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Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? This role will focus on breaking down engineering tasks such as reporting, component search and handling of material billing/information into individual steps that can be tackled through tool use. Your breakdown will teach the Cohere model the logic needed to complete each task. Please Note: This is a part-time independent contractor position available within Canada . We seek candidates who are able to commit to 16 hours per week minimum at a 30 CAD/hour contract rate. This role is BYOD 💻 - Bring Your Own Device (laptop). Remote work within Canada. 12 month contract. As a Data Annotation Specialist, you will: Evaluate the model's ability to respond to engineering procedures and workflows Task models to complete engineering tasks along with verified information to evaluate the accuracy of the model's responses Label, proofread, and improve machine-written and human-written engineering-related outputs. Follow our style guide, and make recommendations on unique situations that fall outside of its scope. You may be a good fit if you have: 3+ years of industry experience working in engineering fields (civil, mechanica

REMOTEairecruitment
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Britive
📍 United States• Remote• $170K – $190K/yr
7mo ago

Identity has become a critical to an organizations security posture. This is true across their entire digital landscape include cloud, traditional on prem and emerging technologies like agentic ai. Britive is at the forefront of a modern approach to delivering identity security with the only modern privileged access management platform that provides unified Privileged Access Visibility, Dynamic Privilege Management and Secrets Governance across infrastructure, platforms & SaaS. Our patent-pending technology is deployed at companies of all sizes around the world, including Fortune 500 companies. We have repeatedly ranked among the hottest Cloud Security startups. Britive is founded by CyberSecurity industry veterans with a successful prior exit and is backed by top-tier VCs. About Britive Britive is the leader in Cloud-Native Privileged Access Management (CPAM), delivering the industry’s first dynamic, agentless platform purpose-built to eliminate standing privileges and enforce Just-in-Time (JIT) ephemeral access across multi-cloud, SaaS, and hybrid environments. Our API-first platform unifies security policy enforcement across human, agentic AI, and non-human/machine identities—integrating natively with leading identity providers (Okta, Microsoft Entra ID, Ping Identity), cloud platforms (AWS, Azure, GCP), and DevOps pipelines (Terraform, Kubernetes, GitHub Actions). Trusted by Fortune 500 organizations, Britive enables Zero Standing Privileges (ZSP) by design, securing access without slowing down engineering teams. About You You are an experienced Sales Engineer who combines deep technical fluency with a passion for customer success. You thrive in complex enterprise environments, are equally comfortable presenting to a CISO and whiteboarding an API integration with a DevOps team, and you bring the consultative instincts to guide prospects through every stage of a technical sale—from initial discovery through proof-of-concept and close. You are res

REMOTEpythonjavaaws
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OpenAI
📍 San Francisco• Full-time
7mo ago

About the Team The Online Data team builds and operates the core online database and indexing services for OpenAI’s production AI applications, including supporting the explosive growth of ChatGPT, the #1 AI app in the world, and Codex, the fastest growing agentic development toolset in the world. Our mission is to ensure the reliability, correctness, and scalability of our online data stack and to curate a comprehensive portfolio of services that matches the relentless ambition of OpenAI, enabling our product and research teams to build 0-100 without getting bogged down in the minutiae of multi-region, multi-cloud, exabyte-scale data infrastructure. About the Role We are seeking an Engineering Manager to lead our Online Data Systems team, responsible for our in-house database and indexing technology. This role is about shepherding a team of world-class engineers tasked with building and operating hyperscale data storage and retrieval technology. You’ll be overseeing the delivery of extremely challenging engineering work in areas like distributed query execution, multi-region federation, self-orchestrating and self-healing services, low-level performance optimization, and more. There are few companies in the world building this kind of technology in-house at this scale where you’ll still be getting in on the ground floor. Instead of being a cog in the machine spending months chasing small optimizations, you’ll play a major part of shaping our future. In this role, you will: Build, lead, and grow high-performing infrastructure engineering teams. Drive the evolution of OpenAI’s in-house online data technologies, our core, hyper-scale database systems, indexing technologies, and vector search. Anchor delivery around measurable reliability goals (SLOs, etc) to ensure system performance and resiliency is above reproach. Champion pragmatic use of agent technology to amplify execution velocity. Reduce operational toil and incident frequency through better abstractions, gua

awsrestai
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Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? We’re looking for an analytical, curious, and impact-driven Principal Sales Operations & Strategy Manager to join our Revenue Operations team. Our departmental mission is to serve as the critical bridge between Product and Sales, ensuring the effective, high-velocity commercial launch of our strategic AI products. This leader will operate as the primary strategic integrator across Product, Engineering, and GTM teams, directly owning the commercial success of our most ambitious new AI products in market. You will be responsible for moving us from fragmented Product / GTM planning to a unified, predictable launch machine, defining the 'Sales Ready' gate, embedding GTM strategy early in the product lifecycle, and translating engineering velocity into comm

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