(Senior) Software Engineer, Deep Learning pony.ai(Senior) Software Engineer, Deep LearningFremont, CA$140,000–$280,000 / yearFrame the open-ended real-world problems into well-defined ML problems; develop and apply cutting-edge ML approaches (deep learning, reinforcement learning, imitation learning, etc) to these problems; scale them to data pipelines; and streamline them to run in real-time on the cars. 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 Infrastructure Engineer WindBorne SystemsMachine Learning Infrastructure EngineerPalo Alto, CaliforniaData pipelines & upstream reliability — Weather data comes from dozens of sources (satellites, government agencies, our own balloon observations) with varying schedules, incomplete documentation and sometimes failing or changing quality. WindBorne Systems is supercharging weather forecasts with a proprietary data source: a global constellation of next-generation smart weather balloons targeting critical atmospheric data.
Machine Learning Infrastructure Engineer WindBorne Systems IncMachine Learning Infrastructure EngineerRedwood City, CAData pipelines & upstream reliability - Weather data comes from dozens of sources (satellites, government agencies, our own balloon observations) with varying schedules, incomplete documentation and sometimes failing or changing quality. WindBorne Systems is supercharging weather forecasts with a unique proprietary data source: a global constellation of next-generation smart weather balloons targeting the most critical atmospheric data.
Regional Sales Manager - Remote WEKARegional Sales Manager - RemoteSan Jose, CARemote$300,000–$320,000 / yearIt transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy. Final compensation will be dependent on various factors relevant to the position and candidate such as geographical location, candidate qualifications, certifications, relevant job-related work experience, education, skillset and other relevant business and organizational factors, consistent with applicable law.
Regional Sales Manager WEKARegional Sales ManagerSan Francisco, CA$300,000–$320,000 / yearIt transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy. Final compensation will be dependent on various factors relevant to the position and candidate such as geographical location, candidate qualifications, certifications, relevant job-related work experience, education, skillset and other relevant business and organizational factors, consistent with applicable law.
Principal Technical Program Manager, Relational Deep Learning Platform NvidiaPrincipal Technical Program Manager, Relational Deep Learning PlatformSanta Clara, CAOur platform learns directly from the structure and relationships inside relational databases and heterogeneous graphs, unifying GPU‑accelerated graph analytics and graph machine learning in a single stack. Working with graph machine learning, GNNs, relational or tabular data, graph analytics libraries such as cuGraph, and the modern data stack (warehouses, feature stores, and data pipelines).
AI/Computer Vision Engineer Pano AIAI/Computer Vision EngineerSan Francisco, CaliforniaBacked by $89 million in funding from leading investors including Giant Ventures, Liberty Mutual Ventures, Tokio Marine Future Fund, Congruent Ventures, Initialized Capital, Salesforce Ventures, and T-Mobile Ventures, we're building technology that helps communities around the world become more resilient to wildfire. Using a network of ultra-high-definition, 360-degree cameras positioned across high vantage points, Pano AI delivers a real-time view of wildfire activity, enabling faster, more informed decision-making when every second counts.
Computer Vision Engineer Pano AIComputer Vision EngineerSan Francisco, CABacked by $89 million in funding from leading investors including Giant Ventures, Liberty Mutual Ventures, Tokio Marine Future Fund, Congruent Ventures, Initialized Capital, Salesforce Ventures, and T-Mobile Ventures, were building technology that helps communities around the world become more resilient to wildfire. Using a network of ultra-high-definition, 360-degree cameras positioned across high vantage points, Pano AI delivers a real-time view of wildfire activity, enabling faster, more informed decision-making when every second counts.
AI Research Scientist, Reinforcement Learning (LLM) and Post-Training Advanced Micro Devices IncAI Research Scientist, Reinforcement Learning (LLM) and Post-TrainingSanta Clara, CATHE ROLE: We are hiring a AI Research Scientist, Reinforcement Learning (LLM) and Post-Training, specializing in reinforcement learning to advance post-training and interactive learning for large generative models applied to demanding engineering and hardware-adjacent tasks (code, optimization, tool use, and long-horizon decision making). You will invent and analyze RL algorithms-policy optimization, preference-based methods, exploration, credit assignment, and reward modeling-run rigorous empirical studies, and partner with infra and product teams to land methods that improve measurable task success without sacrificing stability or safety.
Senior Manufacturing Test Development Engineer, Machine Learning Google LLCSenior Manufacturing Test Development Engineer, Machine LearningSunnyvale, CAFrom software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. Were the driving force behind Googles groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future.
Machine Learning Engineer Pride GlobalMachine Learning EngineerPleasanton, CA$55–$60 / hourPosition Overview Client is seeking experienced AI Engineers to design, build, optimize, and scale next-generation AI agents and agentic workflows that support critical business functions, including planning, allocation, forecasting, pricing, and operational execution. This applies to direct care staff (Examples: RN, LPN, Nurse Aides, Therapists) referred to Kentucky nursing facilities, assisted living communities, or long-term care facilities, in accordance with KRS 216.793.
Data Scientist MhyMatchData ScientistSan Francisco, CaliforniaOur Client is seeking a highly skilled Data Scientist to leverage large volumes of data using modern tools and technologies to uncover insights, build predictive models, and contribute to strategic decision-making. Their suite of products enhances operational efficiencies and drives digital transformation, empowering businesses to achieve sustainable growth and competitive advantage.
NewStaff Machine Learning Engineer KikoffStaff Machine Learning EngineerSan Francisco, California$337,700–$387,200 / yearML sits at the center of our business: our underwriting models decide who we extend credit to, our risk models protect our customers and our balance sheet, and our personalization and growth models shape how millions of people experience our products. Technical Leadership and Mentorship: Raise the engineering bar across the ML and data organizations through design reviews, code reviews, and hands-on mentorship.
Data Scientist 3 - Freewheel Comcast CorpData Scientist 3 - FreewheelSunnyvale, CA$118,300.41–$177,450.62 / yearThat's why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Be an active part of the Net Promoter System a way of working that brings more employee and customer feedback into the company by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
NewAccount Executive, AI SaaS | Onsite in SF Local Candidates Only Gables Search GroupAccount Executive, AI SaaS | Onsite in SF Local Candidates OnlySan Francisco, CAThe strongest candidates will have personally created pipeline, delivered product demonstrations, closed business, and helped an early-stage company improve its go-to-market strategy. You will sell an AI-powered SaaS platform to technical and business buyers, including product leaders, engineering leaders, CMOs, revenue leaders, operations executives, founders, and other senior decision-makers.
Senior Deep Learning Frameworks CUDA Software Engineer NVIDIA CorpSenior Deep Learning Frameworks CUDA Software EngineerSanta Clara, CAWays to stand out from the crowd: Deep expertise in the performance internals and execution graphs of major deep learning autograd, training and inference frameworks (e.g., PyTorch, JAX, TensorRT, vLLM, sgLang, Nemo, Megatron, MaxText, etc.). We are looking for a motivated Deep Learning engineer to bring advanced CUDA features and Distributed Runtime technologies into AI stacks, including PyTorch, TRT-LLM, vLLM, SGLang, JAX, etc.
Reinforcement Learning Engineer Hammerhead AIReinforcement Learning EngineerRedwood City, CaliforniaReporting to the Head of AI / Reinforcement Learning Engineering, you will design, train, and deploy the Orchestrated RL Control Agents that form the brain of our system, making real-time decisions to optimize power and compute resources across physical data centers. Cross-Functional Collaboration: Partner with platform engineers to define the APIs, data telemetry, and infrastructure needed to support and scale our RL agents across a global portfolio of data centers.
Data Scientist - Agentic AI / ML Applied MaterialsData Scientist - Agentic AI / MLSanta Clara, CA$170,000–$234,000 / yearCollaborate with Material Planning, Field Operations, Inventory Management, NPI, Production Demand Planning, Reliability Engineering, Service Campaigns Teams to gather data and bring information on key business drivers that impact the future demand on Service Parts and Accessories. JOLT plays a critical role in rebuilding customer trust, creating an agile and resilient supply chain, reshaping supplier relationships, driving operational excellence, and maximizing profitability through advanced analytics, AI, and machine learning.
Software Engineer, Machine Learning RecSys Meta Platforms IncSoftware Engineer, Machine Learning RecSysSunnyvale, CACollaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences Implement custom user interfaces using latest programming techniques and technologies Develop reusable software components for interfacing with back-end platforms Analyze and optimize code for quality, efficiency, and performance Lead complex technical or product efforts and provide technical guidance to peers Architect efficient and scalable systems that drive complex applications Identify and resolve performance and scalability issues Work on a variety of coding languages and technologies Establish ownership of components, features, or systems with expert end-to-end understanding3+ years of experience in software engineering or a relevant field. People 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.
Founding Research Scientist, Robot Learning Galactic Resource Advancement MechanismFounding Research Scientist, Robot LearningSan Francisco, California$225,000–$300,000 / yearPhD in machine learning, robotics, computer science, applied mathematics, or a related field, or an equivalent record of original research demonstrated by publications, research systems, or deployed capabilities that can be examined during the hiring process. Trained an embodied model or policy using a versioned dataset and evaluated it on held-out tasks, environments, embodiments, tools, or agent configurations defined before model selection.