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Machine Learning Fellow Jobs

5,255 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.

Z
2mo ago

About Zoox Zoox is an autonomous ridehailing company building the world's first purpose-built robotaxi — fully electric, bidirectional, with no steering wheel or driver's seat. Backed by Amazon and founded to make transportation safer, cleaner, and more accessible, Zoox designs its vehicles entirely around the rider. We're currently operating in Las Vegas and San Francisco, with Austin and Miami on the horizon, and testing underway across seven U.S. markets. About Our Part-Time Student Worker Program Zoox's part-time student worker program puts you at the center of one of the most ambitious challenges in transportation. You'll contribute to real projects, work alongside engineers and researchers pushing the boundaries of autonomous technology, and gain experience that goes well beyond the classroom. We're looking for students who bring strong academic foundations, curiosity that doesn't stop at coursework, and a drive to be part of something that matters. Role Overview Support Zoox's Rules of the Road (RotR) program, where a miner + LLM/VLM tooling method automatically mines and triages potential road-rule violation events from simulation and fleet data. The student will be helping create or improve the data miners that generate the candidate events, help develop and evaluate the VLM triagers — curating golden datasets, measuring precision/recall against expert triage, and extending automation to new regulations and data sources. Responsibilities Develop and iterate data miners locating potential RotR Violations following SSO requirements Develop and iterate on VLM/LLM workflows and pipelines for classifying RotR events Curate golden datasets and evaluate triager precision/recall against human triage Required Qualifications Extend triagers from simulation to fleet/service data Strong Python / Pyspark / SQL skills Coursework in machine learning, computer vision, or NLP. Understanding of supervis

pythonsqlgit
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JOB RESPONSIBILITIES: A highly collaborative, fast-growing team at Internal Alpha Capture (IAC), Point72 is developing AI-driven equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, proprietary data sources, and unparalleled computing power. We are looking for exceptional machine learning researchers to join our efforts. Researchers will work closely with our experienced team members and apply the full breadth of their machine learning knowledge to unique, proprietary datasets, and develop novel trading signals that have high impact. Prior experience in the financial industry is not required. Key responsibilities may include: Managing all aspects of the research process, including ideation, method selection, implementation, evaluation, and eventual application. Identifying, adapting, and extending existing models in the broad field of machine learning; conducting novel research as needed, to develop new signals that can enhance portfolio returns, or predict other variables of interests. Staying up to date on the advances in AI/ML and related technological innovations to provide recommendations on new models and tools and identify emerging opportunities. DESIRABLE CANDIDATES: Master’s or PhD in machine learning, computer science, statistics, or related fields. Knowledge and experience in any of the following areas are strongly preferred: modern sequence models, graph neutral nets, reinforcement learning, LLMs. Prior research experience utilizing machine learning over large, possibly noisy, data sets. Strong analytical and quantitative skills, and a detail-oriented mindset. Strong proficiency in machine learning libraries such as Torch, JAX or TensorFlow. Competence in Python, cluster environment, and general software engineering principles (source control, testing, collaborative workflow). Excellent written and verbal communication skills, willing to proactively engage other team members in helping to foster a highly coll

pythonmachine learningai
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NVIDIA is seeking outstanding Research Interns to join the Data-Driven AI for Robotics (DAIR) group. The focus is on learning embodied skills from large-scale human data. Our objective is to develop AI systems that capture, understand, and reproduce complex human motion and interaction skills across physical and digital embodiments, including humanoid robots and animated characters. Our research spans the full stack: reconstructing human motion and human-object interactions from video; generating diverse, controllable character behaviors; transferring motion across embodiments; and training physically grounded controllers for humanoid robots and interactive virtual characters. You will collaborate with a passionate and supportive research team that consistently produces influential work published at leading computer vision, machine learning, graphics, and robotics conferences. You will also have the opportunity to collaborate with world-class research and product teams across NVIDIA, following our strong “one-team” culture. What you'll be doing: Innovate and implement novel AI algorithms that transform large-scale human data into controllable motion and interaction skills across physical and digital embodiments. Develop robust, scalable training and inference pipelines for motion reconstruction, generation, retargeting, and character and robot control. Build methods that transfer human skills to humanoid robots, including whole-body loco-manipulation and dexterous manipulation. Maintain a close, collaborative relationship with your mentor(s). Publish your research findings at leading computer vision, machine learning, graphics, and robotics conferences. Partner with product teams to enable effective technology transfer of your work. Research Topics Include: Human motion and human-object interaction reconstruction, synthesis, and generatio

machine learningai
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O
25 days ago

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Okta is The World’s Identity Company. We free everyone to safely use any technology—anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we’re looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We’re building a world where Identity belongs to you. Our Enterprise AE's at Okta lead the sales process within an assigned territory of business for net new logos into prospective accounts, existing customers and regional consultant influencers. With an incredible eco-system behind you, you will continually ensure assigned territory growth with net new logos and profitability by developing solid business relationships with new and existing clients for Okta. You will plan and execute strategies and sales tactics in the following areas: generating new business, territory planning, pre-request for proposal prospecting, relationship development, pricing, presentation and delivery (finalist or other), negotiations, closing and executing contracts. You will be able to identify net new leads that fit within ideal client profiles to market Okta’s products and services that will meet pot

machine learningartificial intelligenceai
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TA
1mo ago

Role Overview As a Research Intern in the Model Shaping team, you will work on one or more of the following areas: Advanced post-training methods across supervised learning, preference optimization, and reinforcement learning New techniques and systems for efficient training of neural networks (e.g., distributed training, algorithmic improvements, optimization methods) Robust and reliable evaluation of foundation model capabilities The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems. Past research led by Model Shaping interns resulted in the following publications: Escaping the Verifier: Learning to Reason via Demonstrations (ICML 2026) Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking (ICML 2026) ​​ FFT-based Dynamic Subspace Selection for Low-Rank Adaptive Optimization of Large Language Models (ICLR 2026) Responsibilities Research and implement novel techniques in one or more of our focus areas Design and conduct rigorous experiments to validate hypotheses Document findings in scientific publications and blog posts Integrate the research results into Together products Requirements Currently pursuing a Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Familiarity with the Transformer architecture and recent developments in foundation models Preferred Requirements Prior research experience with training foundation m

machine learningaisalesforce
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TA
1mo ago

Role Overview As a Research Intern in the Model Shaping team, you will work on one or more of the following areas: Advanced post-training methods across supervised learning, preference optimization, and reinforcement learning New techniques and systems for efficient training of neural networks (e.g., distributed training, algorithmic improvements, optimization methods) Robust and reliable evaluation of foundation model capabilities The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems. Past research led by Model Shaping interns resulted in the following publications: Escaping the Verifier: Learning to Reason via Demonstrations (ICML 2026) Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking (ICML 2026) ​​ FFT-based Dynamic Subspace Selection for Low-Rank Adaptive Optimization of Large Language Models (ICLR 2026) Responsibilities Research and implement novel techniques in one or more of our focus areas Design and conduct rigorous experiments to validate hypotheses Document findings in scientific publications and blog posts Integrate the research results into Together products Requirements Currently pursuing a Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Familiarity with the Transformer architecture and recent developments in foundation models Preferred Requirements Prior research experience with training foundation m

machine learningaisalesforce
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U
Upwork
📍 Lisbon• Full-time• €39K – €56K/yr
1mo ago

Upwork Inc.’s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond. Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn , Facebook , Instagram , TikTok , and X ; and learn more about Lifted at Go-Lifted and follow on LinkedIn . As a Senior People Operations Specialist, you will play a key role in delivering thoughtful, scalable people programs and operational support across the employee lifecycle. As part of our People Operations team, you’ll combine strong operational expertise with the judgment and partnership skills needed to support HR Business Partners, managers, and employees through both day-to-day needs and more complex people matters. You’ll own and continuously improve key people programs and processes, with a particular focus on employee lifecycle operations, immigration

machine learningaiaccounting
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U
Upwork
📍 Toronto• Full-time• C$92.5K – C$133K/yr
1mo ago

Upwork Inc.’s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond. Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn , Facebook , Instagram , TikTok , and X ; and learn more about Lifted at Go-Lifted and follow on LinkedIn . As a Senior People Operations Specialist, you will play a key role in delivering thoughtful, scalable people programs and operational support across the employee lifecycle. As part of our People Operations team, you’ll combine strong operational expertise with the judgment and partnership skills needed to support HR Business Partners, managers, and employees through both day-to-day needs and more complex people matters. You’ll own and continuously improve key people programs and processes, with a particular focus on employee lifecycle operations, immigration

machine learningaiaccounting
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C
Clickup
📍 Philippines• Full-time• Remote
1mo ago

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 We’re looking for a Technical Implementation Account Manager (TAM) to support our customers as a trusted partner and problem-solver, blending strong relationship management with a growing understanding of ClickUp’s platform and capabilities. This role sits at the intersection of customer success, solution strategy, and technical enablement, contributing to long-term growth, adoption, and measurable business outcomes. This role operates in an AI-native environment, and we expect TAMs at this level to use AI tools as a daily multiplier across account preparation, workflow analysis, solution design, follow-through, and customer enablement. TAMs at this level manage a defined book of business and own day-to-day execution for their accounts, while working closely with more senior TAMs and cross-functional partners on complex initiatives. You’ll use established frameworks, playbooks, and templates to guide onboarding and adoption, monitor account health, and help ensure stakeholders see continuous value throughout their lifecycle. At the L04 level, success means not just understanding AI-enabled features, but showing sound judgment in when and how to use AI to improve execution quality, speed, and customer outcomes. Technical Account Managers are responsible for delivering measurable value and driving meaningful business outcomes across their customer portfolio by focusing on: Customer Enablement & Onboarding: Supporting customers through onboarding and implementation for assigned customers, following established discovery frameworks and implementation plans. Account Health & Engagement: Monitoring a

REMOTEmachine learningartificial intelligenceai
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O
OpenAI
📍 New York• Full-time• Remote• $347K – $385K/yr
2 days ago

About the Team Dots is building personal AI agents that help people make progress on their goals, including when they are away from ChatGPT. These agents can learn preferences, maintain context, work across applications, and use cloud computers to carry out tasks. Our team brings together product engineering, design, and research to turn frontier model capabilities into useful everyday experiences. We are defining how people delegate work, understand what an agent is doing, and stay in control. Engineers help shape both the product and the systems behind it, from early prototypes through launch and iteration. About the Role We are looking for Senior and Staff Full Stack Software Engineers to build Dots product experiences from the interface through the services that power them. You will help define how people delegate tasks to personal agents, follow their progress, and collaborate with them over time. This role combines hands-on product development with the systems work needed to make persistent, asynchronous agent experiences reliable. In this role, you will: Build and launch features across web interfaces, APIs, backend services, and data models. Create workflows for task creation, progress updates, agent feedback, and results that remain coherent across sessions and devices. Translate emerging model capabilities into product prototypes with research, product, and design partners. Design clear interfaces between product surfaces and agent execution systems. Improve performance and reliability across the stack, including user-facing latency and recovery from partial failures. Own projects from early exploration through architecture, implementation, launch, and iteration based on user feedback. Help establish technical direction, testing practices, and observability as the product grows. You might thrive in this role if you: Have significant experience building and shipping products across frontend and backend systems. Can move comfortably between user interfaces,

REMOTEmachine learningartificial intelligenceai
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O
OpenAI
📍 New York• Full-time• Remote• $347K – $385K/yr
2 days ago

About the Team Dots is building personal AI agents that help people make progress on their goals, including when they are away from ChatGPT. These agents can learn preferences, maintain context, work across applications, and use cloud computers to carry out tasks. Our team brings together product engineering, design, and research to turn frontier model capabilities into useful everyday experiences. We are defining how people delegate work, understand what an agent is doing, and stay in control. Engineers help shape both the product and the systems behind it, from early prototypes through launch and iteration. About the Role We are looking for Senior and Staff Software Engineers to build the mobile web experience for Dots. You will create responsive, accessible interfaces that let people start work, follow progress, and guide their agents from a phone or browser. You will help establish interaction patterns for ongoing, asynchronous work and make sophisticated agent capabilities feel clear and approachable. In this role, you will: Design and ship mobile web experiences for creating tasks, reviewing agent activity, and providing feedback or direction. Build interfaces that handle streaming updates, long-running tasks, interrupted sessions, and changing connectivity. Improve responsiveness, loading performance, accessibility, and usability across screen sizes and browsers. Partner with design and product to prototype interaction patterns that give users visibility and control over agent actions. Work with backend and full stack engineers on APIs, client state, and reliable synchronization between the interface and agent services. Own features from exploration and technical design through launch, measurement, and refinement. Help set frontend architecture and engineering practices while staying hands-on with implementation. You might thrive in this role if you: Have substantial experience shipping polished web applications, with deep expertise in mobile web development

REMOTEmachine learningartificial intelligenceai
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Z
Zoox
📍 Foster City• Full-time• $115K – $162K/yr
2 days ago

Zoox is developing autonomous driving from the ground up, including a unique vehicle tailored for autonomous driving. The Vehicle Program team works cross-functionally to ensure this groundbreaking vehicle is delivered on time, on budget, and to a very high quality standard. The Program Analyst will help run one or more Vehicle Programs by analyzing, tracking, and executing program plans, coordinating cross-functional work, and driving follow-through on action plans toward pre-set targets and program phases. In this role, you will: Coordinate cross-functional work by setting up meetings, events, and workshops where needed, and follow up on tasks and action plans Drive progress toward pre-set targets and program phases such as Build Phase, Bot Build, Testing, and BU activities, including coordination with FW and Autonomy Work with PLM to keep the Program BOM and V-BOM accurate Work with Engineering, SQ, PSP, and others to track the Program Part List, PbPTracker, or other relevant part lists Work with ZPT owners to burn down ZPTs, and ensure prioritization reflects program needs through accurate ZPT settings Work with relevant parties on deliverables to achieve program milestones on ZRDP Analyze and report program status, risks, and open actions to the Vehicle Program Director and stakeholders Qualifications BS or MS degree in an engineering discipline or equivalent experience 3+ years of experience in engineering or program management in a technical environment Proficiency using JIRA to capture and track engineering development tasks Proficiency in using Confluence to publish key reference information Bonus Qualifications Experience working with 3DEXPERIENCE in a program management capacity Experience with BOM management and PLM

machine learning
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Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Responsibilities: Own the development, qualification, and deployment of advanced metrology applications for 3D NAND process development, with primary emphasis on Focused Ion Beam (FIB) and one or more of the following: Atomic Force Microscopy (AFM) Optical interferometry or White Light Interferometry (WLI) Scanning Electron Microscopy (SEM) Semiconductor electrical or non-contact characterization methods Develop and implement innovative metrology solutions utilizing FIB, AFM, SEM, and related characterization techniques to close inline detection gaps and accelerate process learning. Lead the evaluation, qualification, and deployment of next-generation metrology systems and First-of-a-Kind (FOAK) technologies, including assessment of measurement capability, accuracy, repeatability, throughput, automation, and manufacturing readiness across FIB, AFM, SEM, and other advanced metrology platforms. Establish and drive technology roadmaps, ensuring alignment with future NAND technology requirements while fostering strong technical partnerships with equipment suppliers and industry collaborators. Identify and develop modeling opportunities using metrology, defect detection, artificial intelligence (AI), and machine learn

machine learningartificial intelligenceai
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C
26 days ago

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Everything we build now runs through one question: how do we supercharge productivity with AI? ClickUp Brain and our agentic AI capabilities are the center of gravity for the company. We're not bolting AI onto a project management tool, we're building the platform where AI does real work: drafting, summarizing, routing, researching, and executing alongside the humans who use it. That focus is external and internal. We expect our customers to get radically more productive with AI, and we expect the same of ourselves. Every ClickUp employee is given the tools, the training, and the mandate to use AI in their daily workflow. This is an AI-native role. You will use AI every day to research faster, personalize at scale, prep calls, and keep your pipeline clean. You will also be selling AI, so you need to speak about it credibly. The Role As a bilingual Market Development Representative (MDR), you'll serve as the critical bridge between our marketing efforts and the sales team for our English and Spanish-speaking markets , playing a pivotal role in accelerating our revenue pipeline. You will be responsible for meticulously following up on, nurturing, and qualifying all inbound leads generated from our diverse marketing channels, switching fluently between English and Spanish depending on the prospect's language and market. This role is fundamental to ensuring our sales team engages only with the most promising and well-prepared prospects. In this position, you'll act as the first point of contact and a trusted educator for potential customers across North America, Latin America, Spain, and US Hispanic market

REMOTEmachine learningartificial intelligenceai
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M
1mo ago

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron Idaho Semiconductor Manufacturing (Triton) LLC Responsible for the installation, functionality, and maintenance of an equipment toolset. This include all the hardware and software in the toolset, as well as the interface to any other systems that the tool must connect to for its proper operation. Maintain the tool performance as measured by availability to production and primary quality metrics. Complete all required safety training and conduct all work in accordance with safety policies and regulations. Follow-up on safety and quality related issues and work toward resolution with stakeholders. Perform and facilitate audits. Reduce incidents of personal injuries, safety hazards or environmental releases. Operate and maintain tools according to documentation and guidelines to ensure safety and quality expectations are met. Ensure proper tool documentation/reaction mechanisms exist for shift teams and submit updates to content. Maintain a constant improvement program for defect reduction/yield improvement. Review and document XLD issues to ensure root cause, follow-up documentation, and communication across TD & HVMs. Review and identify hardware related failures and create and execute plans to fix root-cause. Partner with suppliers to resolve tool problems, defect issues, and maximize tool availability. Improve communication and collaboration with vendors and area, department, and network partners. Collaborate with supervisors and areas leaders to create personal performance and development goals. Communicate proactively with ME shift a

machine learningaiSAP
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