NewSupplier Quality Engineer JobotSupplier Quality EngineerSunnyvale, CA$50–$85 / hourThe ideal candidate will have experience supporting suppliers in electro-mechanical and electronics manufacturing environments, including printed circuit board assemblies (PCBAs), manufactured components, and complex hardware assemblies. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal.
NewQuant Engineer JobotQuant EngineerSan Francisco, CA$300,000–$375,000 / yearInformation collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. Our platform transforms complex and fragmented market information into actionable pricing and investment intelligence for leading asset managers, investment banks, venture funds, and other sophisticated financial institutions.
NewManufacturing Test Development Engineer JobotManufacturing Test Development EngineerSunnyvale, CA$95,000–$200,000 / yearInformation collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. We are seeking an experienced Manufacturing Test Development Engineer to design, develop, and deploy manufacturing test solutions for complex, high‑performance hardware systems, from PCB and PCBA through full system‑level test.
NewSenior Research Engineer Pop-Up TalentSenior Research EngineerSanta Clara, CASolve some of the most challenging problems in wireless geolocation and location intelligence with advanced software-based location technologies used in public safety, national security, telecommunications, and commercial applications worldwide by leveraging AI, machine learning, and large-scale analytics to transform location data into actionable intelligence. Non-Terrestrial Networks (NTN), including LEO satellite positioning, RTT-based methods, ephemeris modeling, or hybrid terrestrial/non-terrestrial architectures.
NewLead Engineer – AI Security & Attack Simulation JobotLead Engineer – AI Security & Attack SimulationSan Francisco, CARemote$200,000–$300,000 / yearInformation collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. You'll translate adversarial AI research and real-world attack techniques into scalable, repeatable security-testing capabilities while helping determine what gets built, why it matters, and how success is measured.
NewQuantitative Engineer (Private Markets) JobotQuantitative Engineer (Private Markets)San Francisco, CA$300,000–$360,000 / yearBacked by a $16M Series A round from major global asset managers and investment banks, our platform currently tracks: Over $300 billion in proprietary transaction data Approximately $4 trillion in historical funding-round data Comprehensive coverage of more than 100,000 private companies and investors An elite institutional client base that collectively manages over $52 trillion in assets The Opportunity This is not a traditional internal quantitative role. Location: San Francisco, CA (In-Office 4 Days/Week)Compensation: $300,000 – $350,000 + Equity About the Company We are a rapidly growing, recently funded Series A fintech company building the data, pricing, and transaction infrastructure for the global private markets.
Staff Machine Learning Engineer XPeng MotorsStaff Machine Learning EngineerSanta Clara, CA$215,280–$364,320 / yearAnalyze TSR-related scenarios and failure cases, including missed detections, false positives, occlusions, small objects, rare signs, region-specific signs, and adverse weather or lighting conditions. This role is ideal for candidates who enjoy solving practical computer vision problems, building reliable model iteration pipelines, and bringing perception models from offline training to onboard production systems.
Contract Student Worker - Machine Learning Engineer - Data Mining & VLM (Full-time) ZooxContract Student Worker - Machine Learning Engineer - Data Mining & VLM (Full-time)Foster City, CAThe 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. 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.
Contract Student Worker - Machine Learning Engineer - Data Mining & VLM (Full-Time) ZooxContract Student Worker - Machine Learning Engineer - Data Mining & VLM (Full-Time)Foster City, CAThe 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. 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.
Machine Learning Engineer - Reinforcement Learning pony.aiMachine Learning Engineer - Reinforcement LearningFremont, CA$150,000–$250,000 / yearShip 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.
Machine Learning Engineer - Reinforcement Learning Pony AIMachine 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.
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.
Senior / Staff Machine Learning Engineer - Perception Attributes ZooxSenior / Staff Machine Learning Engineer - Perception AttributesFoster City, CA$242,000–$333,000 / yearBy creating reliable and accurate behavioral models, you enable Zoox's vehicles to make smart, safe decisions in complex urban environments, bringing us closer to our goal of revolutionizing urban mobility. Work with data labeling and ontology teams on data labeling and ontology definitions of the road users in different attributes and generate auto-labeling or data mining strategies for different attributes.
NewMachine Learning Engineer TapestryMachine Learning EngineerMountain View, CaliforniaOriginally born at X, Alphabet’s moonshot factory, Tapestry brings together experts in energy, AI, software engineering, and products to build tools that help the electricity ecosystem plan smarter, move faster, and operate more efficiently. You will work closely with other Machine Learning Engineers, Data Scientists and Software Engineers across diverse ML domains spanning multimodal machine learning, information retrieval, natural language processing and agentic AI.
Machine Learning Engineer, Local Search & Marketplace News BreakMachine Learning Engineer, Local Search & MarketplaceMountain View, CA$190,000–$300,000 / yearRecognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale. Apply embeddings, natural language processing, large language models, and modern retrieval techniques to connect consumer demand with relevant local content, businesses, or services.
Machine Learning Engineer Glint Tech Solutions LLCMachine Learning EngineerSanta Clara, CAThis role is well-suited for engineers who enjoy working across the ML stack, are comfortable operating in ambiguous problem spaces, and are excited about applying modern deep learning methods to real-world perception, human-centric, and embodied AI problems. You will collaborate closely with researchers, engineers, and product teams to turn complex real-world data into robust, production-ready ML solutions.
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 Staff Machine Learning Engineer TapestrySenior Staff Machine Learning EngineerMountain View, CaliforniaPartner closely with Tapestry’s machine learning technical leads, Power Systems Scientists, Software Engineers, Product Managers, and global utility partners to translate complex, large-scale grid data into actionable insights that improve grid planning, operations, and maintenance. Own the technical roadmap and system architecture for Tapestry’s multimodal intelligence engines, scaling models across multimodal machine learning, graph neural networks, geospatial and remote-sensing data, reinforcement learning for physical control systems, and multi-turn agentic systems.
NewStaff Machine Learning Engineer, Document & Vision Intelligence Geico InsuranceStaff Machine Learning Engineer, Document & Vision IntelligencePalo Alto, CA$130,000–$260,000 / yearThis role focuses on building scalable ML systems, applying AI-native thinking to accelerate experimentation and delivery, and partnering closely with product and business stakeholders to solve high-impact problems. You will be a technical leader for a team of Machine Learning engineers and/or data scientists focused on ensuring ML solutions are robust, high-performing, and seamlessly integrated into production systems.
Machine Learning Engineer, Platform Brain Co.Machine Learning Engineer, PlatformSan Francisco, CaliforniaYou understand how machine learning actually works — not just the tooling, but the philosophy underneath: what a loss function really optimizes, how generalization breaks under distribution shift, why evaluation is where systems quietly go wrong. You'll build the machinery that keeps that promise: capturing production corrections, triaging failures to the component that caused them, and turning that signal into retraining and safe redeployment — automatically, across every use case.