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.
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.
Data, Privacy, & Cybersecurity Associate Attorneys (Transactional) Pernini Recruiting CompanyData, Privacy, & Cybersecurity Associate Attorneys (Transactional)Palo Alto, CA$225,000–$420,000 / yearThe successful candidate will join an industry-leading team advising both private and public companies across a broad range of innovative sectors, including artificial intelligence and machine learning, cloud computing, software, and fintech. This is an exceptional opportunity to work on sophisticated privacy, data processing, and cybersecurity matters arising in c orporate and technology transactions, including mergers and acquisitions, public offerings, and other strategic commercial transactions .
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.
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, 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.
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.
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 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 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.
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.
Head of Machine Learning – Remote Glint Tech Solutions LLCHead of Machine Learning – RemoteSunnyvale, CARemote$210,000–$250,000 / yearYou'll lead a high-performing ML team while remaining technically credible, partnering closely with Product, Engineering, and Executive Leadership to develop production-grade machine learning systems that directly impact the business. This is a highly visible leadership role responsible for building and scaling the next generation of fraud detection and risk decisioning products.
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 Operations Engineer (MLOps) The Hiring MethodMachine Learning Operations Engineer (MLOps)Fremont, CaliforniaThe successful candidate will work directly with Process Engineering, Product Engineering, Test Engineering, Manufacturing, MES, and IT teams to build data pipelines, develop machine learning models, and deploy production-ready AI solutions into manufacturing workflows. A global leader in photonics and semiconductor technology is seeking a Machine Learning Operations (MLOps) Engineer to help develop, deploy, and scale AI/ML solutions within advanced manufacturing operations.
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.