NewHead of AI & Machine Learning Pivotal SolutionsHead of AI & Machine LearningSan Francisco, CaliforniaAs the Head of AI & Machine Learning, you will lead the development of transformative AI systems, leveraging generative AI and multi-agent architectures to deliver innovative solutions. Build advanced systems to extract insights from diverse data sources, including documents, market signals, and user inputs.
Senior Software Engineer, Machine Learning Ads Discord IncSenior Software Engineer, Machine Learning AdsSan Francisco, CA$220,000–$275,000 / yearWe''re a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests, and helps developers build and grow their businesses. Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there's one thing that nearly everyone does: play video games.
Senior Machine Learning Engineer II, Ads Response Prediction Maplebear IncSenior Machine Learning Engineer II, Ads Response PredictionCARemote$240,000–$253,500 / yearLead research and development of pCTR and conversion prediction models, with a focus on improving calibration, reducing training data biases (selection bias, position bias, optimizer's curse), and advancing model accuracy across Instacart's ads surfaces. Design and implement debiasing techniques such as Mixed Negative Sampling (MNS), Inverse Propensity Weighting (IPW), counterfactual risk minimization, and calibration methods (Platt scaling, isotonic regression) to address systematic prediction biases.
Research Engineer - Robot Learning Applied Intuition IncResearch Engineer - Robot LearningSunnyvale, CA$126,000–$423,000 / yearSupported by industry-leading tools and infra, researchers can access millions of miles of data from large fleets, and deploy methods they develop into various autonomous and robotic systems including self-driving cars/trucks, autonomous mining/construction machines, humanoid robots and dexterous hands. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C. San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo.
Founding Forward Deployed Machine Learning Engineer adaptionFounding Forward Deployed Machine Learning EngineerSan Francisco, CaliforniaFind and Unlock Alpha: Go deep on customer problems and data workflows to identify the highest-leverage opportunities others miss, then build the solutions that capture them. Above all, we're looking for great teammates who make work feel lighter and aren't afraid to go out on a limb with bold ideas.
Director, Applied Machine Learning Stryder CorpDirector, Applied Machine LearningSan Francisco, CATechnical depth in applied AI systems design and model post-training (GRPO/PPO, SFT, or similar) enough to support a research-leaning team, though you dont need to have trained frontier models yourself. Partner directly with AI lab researchers and internal stakeholders across engineering and operations, translating ambiguous priorities into clear direction for your team.
Senior Machine Learning Engineer, Model Risk Management Block IncSenior Machine Learning Engineer, Model Risk ManagementCA$189,000–$283,600 / yearBlock lends, moves money, and screens for financial crime at enormous scale, and one bad model can mean millions in credit losses, suspicious activity that goes unreported, or a fair lending violation. Independently challenge model owners across lending, fraud, and AML: reproduce their results, set and defend the acceptance thresholds, and own the call on whether a model is sound.
Senior Manager, Machine Learning - Small Dollar Loans & Cash Line Upstart Holdings IncSenior Manager, Machine Learning - Small Dollar Loans & Cash LineSan Mateo, CARemote$238,400–$330,200 / yearDepending on your expertise, you could step in to lead one of several high-priority teams, such as: Cash Line: Leading the 01 ML innovation for our brand new subscription-based line of credit, building core underwriting and customer behavior models (churn, draw, default) in a domain with limited data and long feedback loops. Drive 01 and Scaling ML Efforts: Depending on your team placement, you may build out entirely new capabilities from scratch or optimize highly mature models dealing with massive scale and shifting macro-economic regimes.
Senior Machine Learning Engineer (Research Scientist) - Data Foundation & AI PlaidSenior Machine Learning Engineer (Research Scientist) - Data Foundation & AISan Francisco, CaliforniaWe work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. They are responsible for the full lifecycle of these systems, including pretraining data curation, model development and training, as well as production deployment, serving, and ongoing monitoring.
Scientist / Senior Scientist, Machine Learning for Health Risk Prediction 23andMe Research InstituteScientist / Senior Scientist, Machine Learning for Health Risk PredictionPalo Alto, CaliforniaIn this hands-on, individual-contributor role, you'll design, develop, and validate risk-prediction models that combine genetic signal with rich EHR and other phenotypic data to predict the incidence, timing, and drivers of health outcomes. Use a broad toolkit of machine learning and statistical modeling techniques, integrating polygenic scores with non-genetic risk factors, to build risk models that meaningfully improve on what's possible today.
Tech Lead, Machine Learning Engineer - TikTok-Data-Search-NLP TikTok IncTech Lead, Machine Learning Engineer - TikTok-Data-Search-NLPSan Jose, CAParticipate in the improvement of the search core algorithm, possible directions include: Content understanding/matching: Applying the industry's cutting-edge NLP and CV technology to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search. About the Team On the TikTok Search Team, you will have the opportunity to develop and apply cutting edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day.
Senior Machine Learning Engineer - TikTok-Data-Search - NLP TikTok IncSenior Machine Learning Engineer - TikTok-Data-Search - NLPSan Jose, CAParticipate in the improvement of the search core algorithm, possible directions include: Content understanding/matching: Applying the industry's cutting-edge NLP and CV technology to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search. About the Team On the TikTok Search Team, you will have the opportunity to develop and apply cutting edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day.
Machine Learning Engineer, ML Platform zaimlerMachine Learning Engineer, ML PlatformSan MateoYou’ll develop novel and highly scalable algorithms for ML and data engineering to make our overall system more efficient, experiment with new approaches for distilling large models into smaller, more efficient ones; improve retrieval, ranking, and reasoning performance through feedback loops; and prototype methods that help LLMs extract and act on real-world knowledge. zaimler was founded by Biswajit Das (ex-VP Engineering, Truera), a Data Infra veteran and former Chief Architect at Visa, and Sofus Macskassy (ex-Director of Engineering, LinkedIn), who built one of the largest knowledge graphs in production in the industry at LinkedIn.
Machine Learning: Multimodal Foundation Models The Bot CompanyMachine Learning: Multimodal Foundation ModelsSan Francisco, CaliforniaImprove Cross-Modal Reasoning: Research and implement methods to ensure the model doesn't just "associate" modalities but actually reasons through them (e.g., grounding visual physics in kinematic constraints). Ship and Iterate on Real Systems: Integrate models into real robotic stacks, build on robot code to deploy your models, and optimize performance for edge inference.
Applied Machine Learning Engineer InferenceApplied Machine Learning EngineerSan Francisco, CaliforniaYou'll own the full training lifecycle: processing data, creating dashboards for visibility, training models using our frameworks, running evaluations, and shipping results. Your north star is model quality at scale, measured by how well our custom models match frontier performance, how efficiently we can train and serve them, and how smoothly we can deliver results to our customers.
Research Engineer - Robot Learning Applied IntuitionResearch Engineer - Robot LearningSunnyvale, CaliforniaSupported by industry-leading tools and infra, researchers can access millions of miles of data from large fleets, and deploy methods they develop into various autonomous and robotic systems including self-driving cars/trucks, autonomous mining/construction machines, humanoid robots and dexterous hands. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C. San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo.
Internship, Software Machine Learning Engineer, Reliability Energy Engineering (Fall 2026) Tesla IncInternship, Software Machine Learning Engineer, Reliability Energy Engineering (Fall 2026)Palo Alto, CA$20–$50 / hourOur year-round program places the best students in positions where they will grow technically, professionally, and personally through their experience working closely with their Manager, Mentor, and team. You will implement AI agent workflows that enhance the productivity of scores of engineers and help Tesla leverage its rich experience to design its most reliable generation of products to-date.
Manufacturing Test Development Engineer JobotManufacturing Test Development EngineerSunnyvale, CA$95,000–$200,000 / 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. We are seeking an experienced Manufacturing Test Development Engineer to design, develop, and deploy manufacturing test solutions for complex, high‑performance hardware systems, from PCB and PCBA through full system‑level test.
Machine Learning Engineer, Model Evaluations (Speech LLM) - San Francisco PlaudMachine Learning Engineer, Model Evaluations (Speech LLM) - San FranciscoSan Francisco, CaliforniaWith a mission to amplify human intelligence, Plaud captures, structures, and compounds the intelligence generated in conversations — so humans can think better, decide faster, and execute with clarity. Can deeply partner with ML researchers to define exactly what "good" looks like for a Speech LLM, translating capabilities (like ASR robustness in noisy environments or TTS emotional steerability) into measurable benchmarks.
Machine Learning Engineer, Inference & Serving (Speech LLM) - San Francisco PlaudMachine Learning Engineer, Inference & Serving (Speech LLM) - San FranciscoSan Francisco, CaliforniaFrontier Serving Frameworks: Deep, under-the-hood familiarity with modern LLM serving frameworks like vLLM, TensorRT-LLM, SGLang, or NVIDIA Triton Inference Server (bonus points for active open-source contributions to these repositories). With a mission to amplify human intelligence, Plaud captures, structures, and compounds the intelligence generated in conversations — so humans can think better, decide faster, and execute with clarity.