Deep Learning Scientist, Speech Synthesis VailexaDeep Learning Scientist, Speech SynthesisSanta Clara, CaliforniaMaster’s degree or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, Applied Mathematics, Linguistics, or Computational Linguistics or equivalent experience. Experience applying deep learning to speech synthesis, large language models, and speech to speech translation.
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.
NewMachine Operator AerotekMachine OperatorSan Jose, CA$22–$25 / hourSince 1983, we have provided a variety of career opportunities across North American industry – from short-term assignments at Fortune 500 companies where you can build your skills, to long-term opportunities where you can play a vital role in solving companies’ construction, manufacturing, and maintenance challenges. Aerotek connects 180,000+ light industrial and skilled trades workers with 14,000+ employers each year, helping our workers navigate an evolving labor market and find jobs that meet their goals, skills, and interests.
NewMS Data Consultant Vaco LLCMS Data ConsultantPalo Alto, CATechnology Environment Microsoft Azure Microsoft Fabric Power BI Power Platform Dynamics CRM Microsoft Copilot Alteryx Enterprise ERP and business applications Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual’s skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs.
AI Linguist - Hybrid Genesis10AI Linguist - HybridMountain View, CA$38.61–$45.48 / hourTemporaryContractorFull timeRanked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals.
NewSenior Product Manager - (Accounting/Finance ERP Experience required) JobotSenior Product Manager - (Accounting/Finance ERP Experience required)San Francisco, CA$140,000–$185,000 / yearThe ideal candidate will bring a unique blend of finance expertise, product management experience, and technical curiosity to partner with engineering, design, and go-to-market teams to build products that solve real-world business problems. 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.
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.
NewMachine Learning / Senior Machine Learning Scientist / Engineer California Life CompanyMachine Learning / Senior Machine Learning Scientist / EngineerSouth San Francisco, CA$170,000–$240,000 / yearCalico's highly innovative technology labs, its commitment to curiosity-driven discovery science, and, with academic and industry partners, its vibrant drug-development pipeline, together create an inspiring and exciting place to catalyze and enable medical breakthroughs. The ideal candidate should be familiar with state-of-the-art machine learning techniques, including language/sequence modeling, representation learning, generative models, and self-supervised learning techniques.
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 Lead UmbaMachine Learning LeadSan Francisco, CaliforniaOur most complex system is our risk model, your day to day will include feature generation and model training using machine learning techniques, developing A/B testing procedures, implementing automated model retraining and creating new projects based on your findings. This platform uses machine learning and big data to build credit scores to optimize risk exposures and allows users to apply, receive and repay microloans and through their smartphone.
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.
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.
Matterport - Lead Machine Learning R&D Engineer CoStar GroupMatterport - Lead Machine Learning R&D EngineerSunnyvale, CaliforniaRemote$270,000–$307,000 / yearYou will play a critical role in researching, designing, and implementing cutting-edge machine learning algorithms and models that enhance our ability to digitize the built world, transform physical spaces into rich digital twins, extract valuable insights from them, and create delightful user experiences that make it easy for our customers to modify and interact with their digital twins. Demonstrated expertise in one or more of the following areas: neural rendering (e.g., Gaussian splatting, NeRFs, large reconstruction models, world models), 3D computer vision (e.g., SLAM, 3D reconstruction, point cloud processing, mesh processing), image/video generation models, 2D/3D semantic understanding, depth estimation.
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.
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.
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.
AI/Machine Learning Engineer 4 Staffing CorpAI/Machine Learning EngineerFremont, CaliforniaAs an AI/Machine Learning Engineer, you will play a crucial role in developing and implementing cutting-edge machine learning algorithms and AI models to solve complex problems and drive innovation. You will work closely with a cross-functional team of data scientists, software engineers, and domain experts to design, train, evaluate, and deploy machine learning models in production environments.