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/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.
(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.
Entry-Level Tableau Developer and Data Analyst SynergisticITEntry-Level Tableau Developer and Data AnalystCA$82,000–$127,000 / yearTemporaryContractorFull timeWhy do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ . We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates .
Data Scientist MhyMatchData ScientistSan Francisco, CaliforniaBrief Overview of the Job Description: Our 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.
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.
Principal Technical Program Manager, Relational Deep Learning Platform NVIDIA CorpPrincipal 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 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.
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.
Applied Scientist, Recommendation, E-Commerce Alliance TikTok IncApplied Scientist, Recommendation, E-Commerce AllianceSan Jose, CABy cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators. The successful candidate will work closely with cross-functional teams, providing expert insight and influencing critical decision-making across multiple areas of our business.
Principal Machine Learning Engineer, Content Safety Roblox CorpPrincipal Machine Learning Engineer, Content SafetySan Mateo, CA$295,250–$345,040 / yearStrategic Stakeholder Partnership: Collaborate with executive-level Product, Data Science, Policy, and Operations leaders to define and prioritize the strategic machine learning roadmap, influencing product strategy and demonstrating the impact of ML on user trust and safety outcomes. You will: Define and Own the Technical Vision: Define and lead the multi-year technical vision, architectural strategy, and execution for machine learning solutions in Content Safety, ensuring these systems proactively and effectively detect and mitigate violative content at massive scale.
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.
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.
Research Engineer, Synthetic Data Generation Meta Platforms IncResearch Engineer, Synthetic Data GenerationBurlingame, CAWe work cross-functionally with teams across multiple disciplines, such as simulation, AR/VR optics, Reality Labs Research, silicon, and sensors, to design and develop novel ML solutions tailored for the requirements and constraints of each particular device. 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.
Applied Scientist, Search, E-Commerce Alliance TikTok IncApplied Scientist, Search, E-Commerce AllianceSan Jose, CABy cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators. The e-commerce alliance team aims to serve merchants and creators in the e-commerce platform to meet merchants business indicators and improve creators creative efficiency.
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.
Data Scientist Artech LLCData ScientistSan Francisco, CA$75 / hourExperience manipulating data sets and building statistical models, has a Master s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software tools: Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc. Please paste it here: Knowledge and experience with large data sets, event streams and distributed computing (Hive,Impala,Hadoop etc.) Ability to gather requirements and develop reports in tool selected by business and KPIT.
Staff Machine Learning Engineer KikoffStaff Machine Learning EngineerSan Francisco, CaliforniaML 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 - Agentic AI / ML Applied Materials IncData 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.
Founding Research Scientist, Robot Learning Galactic Resource Advancement MechanismFounding Research Scientist, Robot LearningSan Francisco, CaliforniaPhD 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.