Machine Learning Engineer SorisMachine Learning EngineerSan Francisco, CaliforniaUnlike wrapper companies or point solutions, we are building a full-stack AI platform from the ground up; one that is agentic, vertically integrated, and designed for scale. If you’re excited about transforming big antiquated industries, shipping fast, and working with a driven, world-class team, then we’d love to hear from you!
Senior AI Engineer - Machine Learning (US) Gauss LabsSenior AI Engineer - Machine Learning (US)Palo Alto, CAYou will develop AI software by working with seasoned Applied Scientists, Software Engineers, and Program Managers located in Palo Alto, California, USA, and Seoul, South Korea. 3+ years building production-ready ML infrastructure including data pipelines, training/inference workflows, and deployment automation.
NewSoftware Engineer - Sr Consultant level VisaSoftware Engineer - Sr Consultant levelFoster City, CA$169,100–$270,800 / yearYou will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to enhance developer productivity, improve customer experiences, and drive next-generation commercial payment and money movement technology for B2B, B2C, P2P, and G2C flows. Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
Machine Learning Team Lead Stand InsuranceMachine Learning Team LeadSan Francisco, CaliforniaAs the MLE Team Lead on the Applied Science team, you will lead the Machine Learning Engineering sub-team as it develops and deploys Stand's flagship AI capabilities spanning physics-informed machine learning, digital twins, computer vision, and spatial intelligence. You will partner across Applied Science and the business to transform research and emerging technologies into scalable systems that directly influence underwriting, pricing, mitigation, inspection, and customer decision-making.
Machine Learning Engineer, Assistant Quality Glean Technologies, Inc.Machine Learning Engineer, Assistant QualitySan Francisco, CA$180,000–$205,000 / yearThis role sits at the intersection of production machine learning, LLM-powered systems, and product engineering, with a focus on building, evaluating, and iterating on assistant experiences that are useful, reliable, and grounded in real enterprise workflows. The ideal person is excited by shipping production systems, not pure research, and wants to help shape how Glean's assistant gets better over time through stronger signals, tighter feedback loops, and better end-to-end execution quality.
Algorithm Engineer KLA CorporationAlgorithm EngineerMilpitas, CA$136,300–$231,700 / yearEnabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. SWIFT (Simultaneous Wafer Inspection at Fast Throughput) systems deliver all-wafer-surface (frontside, backside, and edge) macro inspection that is critical for automotive IC, MEMS, and advanced packaging processes as well as foundry/logic and memory fabs.
Machine Learning Engineer Orchard RoboticsMachine Learning EngineerSan Francisco, CaliforniaWe are looking for a Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems , relating to training edge ML models on massive amounts of real-world farm image data collected by our camera systems. Our AI-powered camera systems mount to tractors and scan millions of trees, vines, and plants, capturing precise data on yield estimates, fruit size, crop health, disease, and more.
Senior/Staff Software Engineer - Machine Learning Platform (Inference) SnowflakeSenior/Staff Software Engineer - Machine Learning Platform (Inference)Menlo Park, CaliforniaWe are looking for outstanding technical leaders who will join our ML Platform team to build the next-generation platform and play a pivotal role in this journey by understanding Snowflake’s core platform architecture and evolving it to enable state-of-the-art machine learning and LLM workloads. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results.
Lead Machine Learning Engineer (IC) Capital OneLead Machine Learning Engineer (IC)San Francisco, New YorkLead Machine Learning Engineer (IC) 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. Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
Senior Research Engineer MaticSenior Research EngineerMenlo Park, CaliforniaOur breakthroughs in spatial AI allow Matic to work reliably in real homes, using only RGB cameras and neural networks running on-device. Advanced expertise in computer vision and machine learning with deep specialization in 3D perception, multi-class object detection, SLAM, and robotics controls.
NewDirector, VAS Finance Ops & Transformation VisaDirector, VAS Finance Ops & TransformationFoster City, CA$170,700–$273,200 / yearDemonstrated ability to use technology-enabled capabilities to optimize or redesign workflows and drive measurable impact in key finance processes and deliverables, including efficiency gains, quality improvements, and stronger controls. Working knowledge of data models, analytics methods, and basic machine learning concepts is helpful, but the role is focused on applying technology to finance transformation and operational outcomes rather than developing machine learning models directly.
Machine Learning Scientist, Reinforcement Learning ProfluentMachine Learning Scientist, Reinforcement LearningEmeryville, CAPhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field. As an early employee, you will proactively shape the direction of our machine learning efforts and collaborate across diverse teams of computational and experimental scientists.
Manager, Data Science - Consumer Identity Machine Learning Capital OneManager, Data Science - Consumer Identity Machine LearningSan Jose, CaliforniaCurrently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics. In Consumer Identity ML, you will work at all phases of the data science life cycle, including: Build machine learning models through all phases of development, from design through training, evaluation and validation, and partner with engineering teams to improve operationalization in scalable and resilient production systems that serve 50+ million customers.
Machine Learning Intern DroydMachine Learning InternSan Francisco, CaliforniaOur robots operate under tight compute, latency, and reliability constraints, so learning systems must work cleanly on real hardware. You’ll work closely with AI researchers, software engineers, and hardware teams, and contribute to systems that ship to real robots.
Machine Learning Performance Engineer - Offboard Training & Inference Applied IntuitionMachine Learning Performance Engineer - Offboard Training & InferenceSunnyvale, CaliforniaThis role is focused on distributed training runs spanning many nodes, and high-throughput batch inference sweeping petabytes of real-world autonomy logs for auto-labeling, data mining, ground-truth generation, and evaluation. Optimize large-scale offline and batch inference over petabyte-scale sensor logs: batching and scheduling strategies, quantization and low-precision execution, graph optimization, and accelerator saturation across long-running sweeps.
Senior/Staff Machine Learning Researcher Terra AISenior/Staff Machine Learning ResearcherRedwood City, CaliforniaBacked by leading investors including Khosla Ventures and working alongside strategic industry partners including Rio Tinto, Ero Copper, and Ramaco Resources, Terra AI is emerging as one of the more closely watched AI-native companies operating within the mining and critical minerals sector. As global demand for copper, lithium, nickel, rare earth elements, geothermal energy, and other strategic resources accelerates, the mining and subsurface industries face a growing challenge: traditional exploration methods remain slow, expensive, and highly uncertain.
Senior Machine Learning Scientist I, Drug Discovery Analytics Revolution MedicinesSenior Machine Learning Scientist I, Drug Discovery AnalyticsRedwood City, California$229,000–$269,000 / yearThe company’s RAS(ON) inhibitors daraxonrasib (RMC-6236), a RAS(ON) multi-selective inhibitor; elironrasib (RMC-6291), a RAS(ON) G12C-selective inhibitor; zoldonrasib (RMC-9805), a RAS(ON) G12D-selective inhibitor; and RMC-5127, a RAS(ON) G12V-selective inhibitor, are currently in clinical development. Please note that base pay salary range is one part of the overall total rewards program at RevMed, which includes competitive cash compensation, robust equity awards, strong benefits, and significant learning and development opportunities.
Senior Data Scientist, Infrastructure VerseSenior Data Scientist, InfrastructureSan Francisco, California$190,000–$230,000 / yearBacked by Bessemer Venture Partners, GV, Coatue, and NVIDIA, and built by pioneers in grid-scale batteries, energy markets, and enterprise software, we're redefining how the world's most ambitious organizations access and manage energy. Data Analysis and Modeling: Use advanced data analysis techniques, simulations, and energy modeling tools to forecast and provide insights relative to the performance of renewable energy resources, battery storage, and novel technologies.
Machine Learning Engineer Happy ElementsMachine Learning EngineerSan Francisco, CaliforniaExpert/Master in common families of machine learning models, feature engineering, feature selection techniques, and tuning of machine learning models. MS in Computer Science or Machine Learning with 2+ years of industry experience or PhD in related field with 1+ years of industry experience required.
Senior Software Engineer, Machine Learning Platform ChimeSenior Software Engineer, Machine Learning PlatformSan Francisco, CARemoteOur in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Chime’s Machine Learning Platform (MLP) team builds and operates the infrastructure, tooling, and developer experience that powers machine learning across the company.