New Grads 2027 - Software Engineer - Perception/Computer Vision WeRide IncNew Grads 2027 - Software Engineer - Perception/Computer VisionSan Jose, CA$120,000–$165,000 / yearIn the AI team, you will: Develop and deploy cutting-edge perception and deep learning models, including computer vision models, vision-language and large language models (VLMs and LLMs), for real-time integration into our system. Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4 and is the world's first publicly listed autonomous vehicle (AV) company.
Machine Learning Engineer, Inference & Serving (Speech LLM) - San Francisco PlaudMachine Learning Engineer, Inference & Serving (Speech LLM) - San FranciscoSan Francisco, CaliforniaFrontier Serving Frameworks: Deep, under-the-hood familiarity with modern LLM serving frameworks like vLLM, TensorRT-LLM, SGLang, or NVIDIA Triton Inference Server (bonus points for active open-source contributions to these repositories). With a mission to amplify human intelligence, Plaud captures, structures, and compounds the intelligence generated in conversations — so humans can think better, decide faster, and execute with clarity.
Senior Machine Learning Engineer - Ranking QuinStreetSenior Machine Learning Engineer - RankingFoster City, CARemote$140,000–$170,000 / yearOur campaign-results-driven matching decision engines and optimization algorithms are built from over 20 years and billions of dollars of online media experience. Design and improve ranking systems through rigorous measurement and experimentation; translate broad goals into clear metrics and deliver steady, validated gains.
Software Engineer, Machine Learning - Search Algorithm, Standalone Apps Team Meta Platforms IncSoftware Engineer, Machine Learning - Search Algorithm, Standalone Apps TeamMenlo Park, CAPeople who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
2027 Summer Intern, PhD, Machine Learning, Computer Vision Waymo LLC2027 Summer Intern, PhD, Machine Learning, Computer VisionMountain View, CASince its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World''s Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Machine Learning Engineer - Ads SpaceXAIMachine Learning Engineer - AdsPalo Alto, CA$180,000–$440,000 / yearLeverage the latest Grok models to power all stages of our advertising stack, from candidate selection to ranking, auction, campaign optimization, creative generation, and advertiser experience. We're looking for individuals who have built exceptional advertising products and systems at a massive scale across bidding, auction, marketplace, ranking, prediction, and product.
Future Opportunity -- Machine Learning Engineer Intuitive SurgicalFuture Opportunity -- Machine Learning EngineerSunnyvale, CACertain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government's licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan ("TCP") (note: typically adds 2 weeks to the hiring process). U.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status.
ML Research Scientist (Embodied AI & Reinforcement Learning) MetamorphicML Research Scientist (Embodied AI & Reinforcement Learning)Palo Alto, CaliforniaMetamorphic is developing new approaches to intelligence by combining machine learning with large-scale experimental neuroscience, informed by the principles that make the brain efficient, flexible, and robust. Strong software engineering skills and strong working proficiency in Python and a modern deep learning framework; ability to write training and evaluation infrastructure that other researchers can build on.
NewRobotics ML Engineer (Simulation and Robot Learning) Noble MachinesRobotics ML Engineer (Simulation and Robot Learning)Sunnyvale, California$170,000–$400,000 / yearExperience building simulation environments or demonstration-generation pipelines for robot learning using tools such as Isaac Sim / Isaac Lab, MuJoCo, robosuite, or comparable systems. Your defining contribution will be solving the sim-to-real challenge from the simulation side: understanding why policies succeed in simulation but fail on hardware, then improving the environments, data, and training conditions that determine transfer.
Senior Computer Vision / Applied AI Engineer Simbe Robotics, Inc.Senior Computer Vision / Applied AI EngineerSan Francisco, CA$160,000–$200,000 / yearSimbe combines robotics, computer vision, machine learning, data infrastructure, and customer focused product design to help retailers improve shelf availability, price and promo execution, inventory accuracy, and store team productivity. This role will work across dense product detection, price tag and promo tag detection, OCR, barcode decoding, product association, segmentation, visual search, model evaluation, and customer specific model improvements.
NewSenior Machine Learning Engineer, AI Infra RobinhoodSenior Machine Learning Engineer, AI InfraMenlo Park, CA$209,000–$245,000 / yearHands-on experience with large-scale search systems, including embedding models, vector databases, and distributed retrieval engines using platforms such as Qdrant, ChromaDB, or Elasticsearch with dense vector search capabilities. You'll lead the design of complex platform capabilities including our feature store, model serving layer, and training infrastructure, while partnering closely with ML practitioners to ensure these systems accelerate their work rather than slow it down.
Machine Learning Engineer - Reinforcement Learning Pony.ai IncMachine Learning Engineer - Reinforcement LearningFremont, CAShip deep learning solutions (including LLM / VLM where appropriate) that improve human-led triaging, automate high-volume workflows, and support nuanced analysis of self-driving behavior to surface critical anomalies. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale.
Research Engineer, Machine Learning Mistral AIResearch Engineer, Machine LearningPalo Alto, CAWorking hand-in-hand with Research Scientists, you'll either join: Platform RE Team: Enhance the shared training framework, data pipelines and cluster tooling used by every team; or. We partner with enterprises tackling the hardest problems-across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector-co-creating customized AI systems that they can run on their terms.
Staff Machine Learning Engineer, Agent Eval Platform ServiceNow IncStaff Machine Learning Engineer, Agent Eval PlatformMountain View, CAIt''s applied ML at a point where the methodology genuinely isn''t settled: LLMs judging LLMs is an open research problem, and we''re working it against agents that take real, irreversible actions in stateful, multi-tenant enterprise environments. Splitting the problem correctly: deterministic validators for checkable world state ("was the ticket created, with the right item, routed to the right approver?"), and an LLM judge for the parts that are genuinely fuzzy - was the clarifying question appropriate, was policy followed, was the path efficient.
Senior Machine Learning Engineer, Agent Eval Platform ServiceNow IncSenior Machine Learning Engineer, Agent Eval PlatformSanta Clara, CAIt''s applied ML at a point where the methodology genuinely isn''t settled: LLMs judging LLMs is an open research problem, and we''re working it against agents that take real, irreversible actions in stateful, multi-tenant enterprise environments. Splitting the problem correctly: deterministic validators for checkable world state ("was the ticket created, with the right item, routed to the right approver?"), and an LLM judge for the parts that are genuinely fuzzy - was the clarifying question appropriate, was policy followed, was the path efficient.
NewResearch Scientist - Machine Learning ExtropicResearch Scientist - Machine LearningSan Francisco, CAOur ML team works on the science of training models in the thermodynamic paradigm, and we are looking for senior research and engineering talent to derive probabilistic ML theory, empirically demonstrate its scaling properties, and deploy performant models. Collaborate with senior researchers, residents, engineers, and physicists to derive the theory of new probabilistic models and their learning rules, including energy-based models and diffusion models.
Staff Machine Learning Engineer ATOMSStaff Machine Learning EngineerSan Francisco, CaliforniaA visionary Machine Learning Engineer to join our founding team who will help bridge the gap between high-level AI research and real-world physical actuation for our next-generation autonomous transport platforms. Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, more scalable, and more productive.
Deep Learning Product Research Engineer NvidiaDeep Learning Product Research EngineerSanta Clara, CAWe are looking for a hands-on engineer and generative AI practitioner who can build prototypes, write high-quality code, evaluate emerging technologies, explain complex systems clearly, and turn research ideas into practical product capabilities. Develop enterprise-ready enablement assets such as reference architectures, integration playbooks, performance tuning recipes, and demo-to-production workflows for Nemotron, NeMo, NIM, and related NVIDIA AI software.
Senior Research Scientist, Efficient Deep Learning NvidiaSenior Research Scientist, Efficient Deep LearningSanta Clara, CANVIDIA is searching for an outstanding Senior Researcher working on efficient deep learning to join our learning and perception research team. The base salary range is 192,000 USD - 304,750 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
Research Scientist, Efficient Deep Learning - New College Grad 2026 NvidiaResearch Scientist, Efficient Deep Learning - New College Grad 2026Santa Clara, CANVIDIA is searching for an outstanding researcher working on efficient deep learning to join the deep learning efficiency research team. Hands-on experience with large-scale model training including data preparation and model parallelization (tensor and pipeline) is required.