Staff Machine Learning Engineer Unity Technologies SFStaff Machine Learning EngineerMountain View, CaliforniaWhile specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program. As our Staff Machine Learning Engineer, you will be a core technical leader bringing state-of-the-art computer vision and multi-modal models — transformers, diffusion networks, vision-language models (VLMs), and JEPA-style architectures — from research into robust, production-grade systems.
Lead Machine Learning Engineer Capital OneLead Machine Learning EngineerSan Jose, CaliforniaIn this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
NewMachine Learning Engineer I, Network HandshakeMachine Learning Engineer I, NetworkSan Francisco, CaliforniaThe team works with retrieval and ranking approaches including graph-based models, bi-encoders, semantic cross-encoders, and multi-stage rankers, supported by a data platform containing billions of data points. You’ll work closely with experienced machine learning engineers, data scientists, product managers, and software engineers to develop models, run experiments, and deploy reliable ML solutions to production.
Machine Learning Ops & Infrastructure Engineer Noble MachinesMachine Learning Ops & Infrastructure EngineerSunnyvale, California$160,000–$300,000 / yearData & Pipeline Expertise: Hands-on experience building large-scale data management pipelines and using workflow orchestration tools (e.g., Airflow, Argo, Kubeflow, or similar). Noble Machines (formerly Under Control Robotics) builds multipurpose robots to support human workers in the world's toughest jobs—turning dangerous work from a necessity into a choice.
NewStaff Machine Learning Engineer - San Francisco HausStaff Machine Learning Engineer - San FranciscoSan Francisco, CAWith support from PhD economists, data scientists, and growth experts, Haus' AI-driven technology translates complex marketing measurement into clear action and outcomes, enabling brands like Dyson, Wayfair, Sonos, Fanduel, SharkNinja, and Intuit to optimize spend, accelerate growth, and make smarter marketing decisions at scale. Drive initiatives from concept to final product delivery, ensuring seamless end-to-end execution: lead or contribute to the design, development, optimization, and product ionization of machine learning (ML) solutions for complex and high-impact problems.
Staff Machine Learning Engineer - Agentic Models, Llm, Rag, Genai Eightfold, Inc.Staff Machine Learning Engineer - Agentic Models, Llm, Rag, GenaiSanta Clara, CAOur platform is built from the ground up, operating at scale across Azure and AWS, deployed in multiple regions globally, including IL4-compliant environments for the US Government, supporting users in 100+ countries and 30+ languages. We work with massive datasets, tackle complex challenges, and focus on real-world reliability, shipping systems that manage multi-step reasoning and distributed state management at enterprise scale.
Staff Machine Learning Engineer, AI SentryStaff Machine Learning Engineer, AISan Francisco, CaliforniaA successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage).
Staff/Lead Machine Learning Engineer, Behavior & Planning NuroStaff/Lead Machine Learning Engineer, Behavior & PlanningMountain View, CA$235,030–$352,290 / yearWith years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Strong preference for prior experience in autonomous vehicles or robotics, and familiarity with how ML fits into a complete autonomy/planning stack, though we hire strong general-ML talent from adjacent domains and value the ability to ramp on a new domain quickly.
Machine Learning Engineer, Level 5 SnapchatMachine Learning Engineer, Level 5San Francisco, CA$209,000–$313,000 / year5+ years of post-Bachelor's machine learning experience; or Master's degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience. The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.
Machine Learning Engineer PoesisMachine Learning EngineerSan Francisco, CaliforniaAt Poesis, machine learning and artificial intelligence open the door to improved alpha discovery, higher quality decision-making and intelligent risk management. You'll work across the full machine learning lifecycle, from experimentation and model and agent development to deployment and iteration, with significant ownership over both research and production outcomes.
NewMachine Learning Engineer, Generative ML, Level 5 SnapchatMachine Learning Engineer, Generative ML, Level 5Palo Alto, CA$209,000–$313,000 / yearOur team creates intuitive tools, platforms, and agentic systems that empower creators, developers, and internal teams to bring ideas to life, while advancing personalized, human-centric experiences across mobile, web, and wearable devices like Spectacles. 5+ years of post-Bachelor's machine learning experience; or Master's degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience.
Machine Learning Engineer, Level 4 SnapchatMachine Learning Engineer, Level 4San Francisco, CA$173,000–$259,000 / yearThe Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services. 3+ years of post-Bachelor's machine learning experience; or Master's degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field.
Member of the Technical Staff - Machine Learning Two DotsMember of the Technical Staff - Machine LearningSan Francisco, CaliforniaWe believe that public and private policy has to change, and that involves breaking the system that conceals our affordability crisis and leaves people without the disposable income required to live satisfying lives, fueling resentment and political instability that turns problems at home into problems for the world. Other team members include: Meta ML alumnus with decades of experience, a 21 year old UMich grad who was a top 2,000 LoL player (he is no longer playing the game, thank god), and a former agave farmer who started a shipping and logistics company while at Stanford.
Member of Technical Staff - Machine Learning PlixMember of Technical Staff - Machine LearningSan MateoYou’ll lead efforts to deploy and fine-tune state-of-the-art machine learning models and computer vision pipelines, build robust ML infrastructure, and ensure we remain at the forefront of multimodal AI advancements. Preferred Qualifications Experience working with or deploying video and/or multimodal large language models (LLMs) for tasks such as captioning, summarization, or question answering.
Computer Vision/ Machine learning Engineer Stride SearchComputer Vision/ Machine learning EngineerSan Francisco, Californialooking for smart, ambitious people to help develop our next generation. We believe in building great products to improve people’s lives by.
NewMachine Learning Engineer, Generative ML, Level 4 SnapchatMachine Learning Engineer, Generative ML, Level 4Palo Alto, CA$173,000–$259,000 / yearOur team creates intuitive tools, platforms, and agentic systems that empower creators, developers, and internal teams to bring ideas to life, while advancing personalized, human-centric experiences across mobile, web, and wearable devices like Spectacles. The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.
Machine Learning Engineer PhysicsXMachine Learning EngineerSan Francisco, CA$150,000–$190,000 / yearYou've shipped ML systems end-to-end and at scale: you design, build and test reliable, scalable ML data pipelines; you know how to explore and manipulate 3D point-cloud and mesh data to enable geometry-aware modelling; you select the right libraries, frameworks and tools. Experience applying Machine learning methods (including 3D graph/point cloud deep learning methods) to real-world engineering applications, with a focus on driving measurable impact in industry settings.
Early Career Machine Learning Engineer, Applied AI Brain Co.Early Career Machine Learning Engineer, Applied AISan Francisco, CaliforniaMake a Difference: Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems. As a Machine Learning Engineer at Brain Co., you will play a crucial role in deploying state-of-the-art models to automate various real world problems in sectors such as healthcare, government and energy.
Senior Principal Machine Learning Engineer - Optimization PubMaticSenior Principal Machine Learning Engineer - OptimizationRedwood City, CaliforniaBenefits: Our benefits package includes the best of what leading organizations provide such as, paid leave programs, paid holidays, healthcare, dental and vision insurance, disability and life insurance, commuter benefits, physical and financial wellness programs, unlimited DTO in the US (that we actually require you to use!), reimbursement for mobile and fully stocked pantries plus in-office catered lunches 5 days per week. PubMatic is one of the world’s leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes.
Sr. Computer Vision / Machine Learning Engineer Corvus RoboticsSr. Computer Vision / Machine Learning EngineerMountain View, CaliforniaYou'll tackle diverse technical challenges, working with vast amounts of sensor data to increase environmental awareness and provide customers with deeper inventory insights. Our fully autonomous Corvus One drones use computer vision & robotics to automatically track inventory, improving worker safety and increasing labor efficiency.