Applied Machine Learning Scientist Intern - Phd MarvellApplied Machine Learning Scientist Intern - PhdSanta Clara, CAAs a high-visibility team, we deliver critical data insights and analytics solutions to the operations and leadership group that empower data-driven decision-making at the highest levels. The intern will work closely with our experienced data scientists, engineers, and business stakeholders to develop data-driven insights and build predictive models that address business challenges.
NewSenior Machine Learning and Simulation Engineer - Autonomous Vehicles NVIDIASenior Machine Learning and Simulation Engineer - Autonomous VehiclesUs, CaliforniaThis role requires strong technical leadership and outstanding software engineering skills, coupled with deep expertise in both simulation and artificial intelligence, including deep learning, reinforcement learning, end-to-end driving and Physics AI models. This position centers on developing a Closed-Loop Simulation-based Reinforcement Learning (RL) framework in order to train advanced end-to-end AV models, such as Alpamayo R1 .
NewBusiness and Marketing Data Scientist, Applied Machine Learning Google LLCBusiness and Marketing Data Scientist, Applied Machine LearningMountain View, CAGoogle Customer Solutions (GCS) sales teams are trusted advisors and competitive sellers who maintain a relentless focus on customer success by bringing the best Google has to offer to small- and medium-sized businesses (SMBs), which are the backbone of our communities. In this role, you will work in close partnership with several Engineering, Product, and Finance teams across Google to develop and deliver machine learning and predictive analytics solutions at scale to our Sales and Marketing stakeholders.
Founding Machine Learning / AI Search Engineer HiringCafeFounding Machine Learning / AI Search EngineerCupertino, CaliforniaWe index millions of jobs, remove noise, rank what matters, and help people find real opportunities without dark patterns, ads, or pay-to-win placement. HiringCafe.com is building a 100× better job search engine — fast, comprehensive, honest, and actually useful.
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.
Software Engineer III - Machine Learning Platform JPMorgan Chase & CoSoftware Engineer III - Machine Learning PlatformPalo Alto, CAHands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security. Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
Research Scientist, Machine Learning OnepotResearch Scientist, Machine LearningSouth San Francisco, CaliforniaYou will build and help maintain infrastructure and abstractions for training a diverse set of models; this includes data pipelines and various system tasks such as parallelism strategies and quantization. You will work with lab staff on data acquisition, train models of many different shapes and sizes, and deploy models directly into experimental workflows.
NewPlaces Data and ML Director Apple IncPlaces Data and ML DirectorCupertino, CAStrong interpersonal skills are essential for communicating technical complexities clearly to engineering partners, product management teams, and executives across Apple.15+ years of experience applying and leading engineering teams that apply sophisticated statistical and ML methods to analyze and process large, complex data sets. From Computer Vision to Generative AI and classic software engineering, maps data leverages cutting-edge ML techniques to process, interpret, and contextualize information from unstructured data ranging from text to 3D imagery.
Research Scientist, Machine Learning onepotResearch Scientist, Machine LearningSouth San Francisco, CaliforniaYou will build and help maintain infrastructure and abstractions for training a diverse set of models; this includes data pipelines and various system tasks such as parallelism strategies and quantization. You will work with lab staff on data acquisition, train models of many different shapes and sizes, and deploy models directly into experimental workflows.
Engineering Manager, Borglet Machine Learning Google LLCEngineering Manager, Borglet Machine LearningSunnyvale, CAIn this role, you will manage a team of Software Engineers focused on designing, implementing, and analyzing low-level computer systems and their interactions with the kernel and hardware while driving the team"s technical charter and contributing as their team lead/manager, collaborating with partner teams as well as users across Google. From 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.
Senior Machine Learning Engineering Manager, Text Safety RobloxSenior Machine Learning Engineering Manager, Text SafetySan Mateo, CA$345,040–$399,420 / yearYou'll oversee machine learning systems, data quality, training pipelines, and model performance to address challenges like real-time content understanding across Roblox's experiences and advanced moderation with large language models, spanning chat, comments, usernames, game descriptions and other generative text content. Collaborate cross-functionally with Product, Data Science, Policy, Design, and Operations partners to define and prioritize the machine learning roadmap for language safety initiatives, ensuring alignment with broader Safety and Roblox objectives.
NewMechanical Engineer, Field Deployment LuminXMechanical Engineer, Field DeploymentSanta Rosa, CAYou will help ensure that deployments are completed safely, on schedule, and with minimal rework; installation quality remains consistent across different customers and building conditions; recurring field problems become permanent product or process improvements; installation time and support requirements decrease as deployment volume grows; and LuminX hardware becomes easier to manufacture, install, diagnose, service, and scale. \n You will plan and lead installations of our camera and edge-compute units, solve the problems that only appear in real operating environments, and turn what you learn in the field into better hardware and more repeatable deployment processes.
Software Engineering Lead, Machine Learning EmaSoftware Engineering Lead, Machine LearningSan Francisco Bay Area, CA$200,000–$270,000 / yearHeadquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production - we ship real systems that run real business processes at scale. You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions.
Senior Software Engineer, Digital Twin Platform Maplebear IncSenior Software Engineer, Digital Twin PlatformCARemote$199,000–$210,000 / yearIn close collaboration with machine learning engineers, computer vision engineers, product teams, and data scientists, you will enable sophisticated models and data collection platforms to scale while driving new product innovation. Collaborate closely with machine learning engineers, computer vision engineers, product teams, and data scientists to move models and data pipelines from research to production.
Research Engineer, Machine Learning MistralResearch Engineer, Machine LearningPalo Alto, CaliforniaWorking hand-in-hand with Research Scientists, you’ll either join: - Platform RE Team: Enhance the shared training framework, data pipelines and cluster tooling used by every team; or. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms.
Research Engineer, Machine Learning RL Velocity Anthropic PBCResearch Engineer, Machine Learning RL VelocitySan Francisco, CA$500,000–$850,000 / yearThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster.
Deep Learning Engineer | RD5003 Convai Technologies Inc.Deep Learning Engineer | RD5003CAMinimum 5+ years of experience in software development and 3+ years in ML and NLP - ideally with the latest transformer based models like GPT3, T5, etc. We seek a highly experienced Deep Learning Engineer who has worked extensively with Large Language Models.
Staff Data Science Engineer - Hardware & Silicon Validation MarvellStaff Data Science Engineer - Hardware & Silicon ValidationSanta Clara, CACollaboration with Engineering Teams: Work closely with hardware, firmware, and validation engineers to understand data, define metrics, and translate complex data into actionable insights Automation & Efficiency: Build tools and workflows that reduce manual debugging effort and accelerate validation cycles. Highlights include an employee stock purchase plan with a 2-year look back, family support programs to help balance work and home life, robust mental health resources to prioritize emotional well-being, and a recognition and service awards to celebrate contributions and milestones.
Machine Learning Scientist 5- Forecasting Aggregation Netflix IncMachine Learning Scientist 5- Forecasting AggregationCA$466,000–$750,000 / yearWorking knowledge of ad-serving and campaign concepts - how campaigns are delivered and what creates delivery risk: targeting, frequency caps, contention, bidding, pacing, budget planning, and the core campaign objects/attributes; and the metrics that matter (reach, frequency, impressions, clicks, outcomes). You will build the machine learning models that augment our simulation-based engine for predicting campaign delivery - turning a slow, rules-based simulation into fast, accurate, learnable models of how campaigns deliver against real inventory.
Staff Machine Learning Scientist, Applied Causal Inference DoorDash IncStaff Machine Learning Scientist, Applied Causal InferenceSan Francisco, CA$203,500–$299,300 / yearWe value a diverse workforce - people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. We are looking for someone who has built or deeply worked on production causal systems: uplift models, heterogeneous treatment effect models, surrogate metrics, experimentation platforms, counterfactual policy evaluation, promotion optimization, or marketplace decisioning systems.