Learning Design Specialist The RealReal, Inc.Learning Design SpecialistSan Francisco, CA$65,000–$85,000 / yearAct as an internal performance consultant and dedicated team player alongside Subject Matter Experts and enterprise leaders, developing positive, cross-functional relationships to rapidly ground learning materials in proprietary technical documentation and transform raw data into actionable tools. Architect learning journeys that feel invisible by integrating modern performance support tools, job aids, and micro-learning directly into daily workflows to solve business friction at the exact moment of need.
Member of Research Staff, Reinforcement Learning, Voleon Securities The Voleon GroupMember of Research Staff, Reinforcement Learning, Voleon SecuritiesBerkeley, CaliforniaYour research colleagues across Voleon have collectively published hundreds of academic articles in top-tier venues on machine learning, systems, and theory, and we meet regularly to stay current on the latest academic research and share ideas. For nearly two decades, our affiliate Voleon Capital Management has led the hedge fund industry and worked at the frontier of applying AI/ML to investment management, becoming a multibillion-dollar asset manager.
Dev / ML Ops Engineer ZensorsDev / ML Ops EngineerSan Francisco, CaliforniaYour scope will include automating infrastructure provisioning (potentially bare-metal-to-Kubernetes bring-up), deploying microservices utilizing Helm, and integrating security scans and static code analysis tools into the workflow. Collaboration & Scaling: Collaborate deeply with Machine Learning engineers to ensure validation readiness for new models, and take ownership of scaling enterprise deployment workflows across the entire organization.
ML Ops / Dev Ops Engineer ZensorsML Ops / Dev Ops EngineerSan Francisco, CaliforniaYour scope will include automating infrastructure provisioning (potentially bare-metal-to-Kubernetes bring-up), deploying microservices utilizing Helm, and integrating security scans and static code analysis tools into the workflow. Collaboration & Scaling: Collaborate deeply with Machine Learning engineers to ensure validation readiness for new models, and take ownership of scaling enterprise deployment workflows across the entire organization.
Director of Product Management, AI - Remote MotiveDirector of Product Management, AI - RemoteSan Francisco, CARemote$187,000–$260,000 / yearYou will work alongside a star team from engineering, data science, computer vision, research & design, marketing, operations, legal, sales & customer success in a fast-paced, rapidly growing, technology environment to build intelligent experiences to shift behavior and drive ROI-positive impact for customers. Motive serves more than 120,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.
Principal Research Engineer, Post-Training Character.AIPrincipal Research Engineer, Post-TrainingRedwood City, CaliforniaTechnical Leadership & Mentorship: Define and drive the technical roadmap for mid- and post-training systems, balancing research innovation with production reliability and scalability. You will partner closely with researchers, engineers, product teams, and infrastructure teams to identify the highest-leverage opportunities for improving model performance and user experience.
Head of Data Science - Identity & Compliance SocureHead of Data Science - Identity & ComplianceSan Francisco, CaliforniaOwn customer communication and stakeholder management, serving as a trusted technical leader in engagements with customers, partners, and internal stakeholders; clearly articulate model behavior, agentic systems, performance trade-offs, and roadmap decisions while building strong, long-term relationships. Drive the development of graph-based intelligence , including large-scale graph neural networks (GNNs) and link analysis models to power Identity Graph, fraud detection, and watchlist matching.
Senior Data Scientist - Digital Intelligence, Device Signals SocureSenior Data Scientist - Digital Intelligence, Device SignalsSan Francisco, CaliforniaDesign and deploy advanced machine learning systems for device identification, anomaly detection, and fraud prevention—balancing precision, recall, and real-world adversarial dynamics. Investigate high-complexity signals (e.g., emulator use, spoofing, low-entropy fingerprints), applying advanced statistical methods and domain knowledge to detect fraud and abuse.
Platform Fellow Arcadia SciencePlatform FellowEmeryville, CA$8,000–$12,000 / yearThis is an ideal opportunity for scientists in the final stages of their PhD or postdoc training who want to experience industry research in an open science environment, or for researchers looking to apply their quantitative skills to evolutionary biology in new ways. Platform uses phylogeny to guide the development of many of our statistical models, machine learning tools, and evolutionary frameworks, powering research across Arcadia.
Staff Data Scientist - Digital Intelligence SocureStaff Data Scientist - Digital IntelligenceSan Francisco, CaliforniaYou will help shape a critical Digital Intelligence capability within Socure’s fraud prevention and identity verification platform, using high-scale device, network, browser, mobile, session, and behavioral telemetry to build risk signals used in real-world production decisions. In this role, you will provide technical leadership for turning noisy, high-scale device, network, browser, mobile, API, and behavioral telemetry into production-grade fraud and identity risk signals.
NewApplied Researcher II (AI Foundations, LLM Core and Agentic AI) Capital OneApplied Researcher II (AI Foundations, LLM Core and Agentic AI)San Francisco, New YorkCurrently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research. Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.
Applied Researcher I (AI Foundations, LLM Core and Agentic AI) Capital OneApplied Researcher I (AI Foundations, LLM Core and Agentic AI)San Francisco, New YorkCurrently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research. Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.
Applied Researcher II Capital OneApplied Researcher IISan Francisco, New YorkCurrently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.
Applied Researcher I Capital OneApplied Researcher ISan Francisco, New YorkBasic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.
Software Engineer, Systems & Infrastructure MatroidSoftware Engineer, Systems & InfrastructurePalo Alto, CAMatroid is a full-service computer vision company that has developed an end-to-end platform allowing enterprise customers to rapidly train and deploy automated visual inspection on imagery including EO, IR, X-Ray, CT, OCT, and others. Working alongside software and computer vision experts, you'll collaborate to solve problems, enable features and increase efficiency by building new shared services, systems, and tooling.
NewStaff Software Engineer - Adas Interactive Experience General MotorsStaff Software Engineer - Adas Interactive ExperienceSunnyvale, CA$189,300–$290,700 / yearBachelor's degree or Bachelor of Applied Science in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or a related technical field, with 5-8 years of relevant software engineering experience; or equivalent practical experience with 10-12 years delivering production software. The ideal candidate is a recognized SoC software expert who operates with broad latitude in a complex environment, turns ambiguous cross-domain requirements into practical system designs, and drives critical workstreams from concept through vehicle launch.
Senior ISP Engineer General MotorsSenior ISP EngineerSan Francisco, CA$174,900–$250,200 / yearDesign and execute comprehensive objective and subjective image quality evaluations using lab charts and real-world scenes, selecting appropriate metrics and analyses for each, leveraging tools such as Imatest and other chart/scene-based analysis methods, and developing GM-specific test scripts and IQ specification analysis tools. You will interact with camera hardware engineers, embedded software engineers, systems engineers, Embodied AI engineers, technical program managers internally, and various external imager component vendors to ensure high-quality cameras are designed, manufactured, and tuned.
Staff ML Infrastructure Engineer - Embodied AI Scaling Foundations General MotorsStaff ML Infrastructure Engineer - Embodied AI Scaling FoundationsSunnyvale, CARemote$189,300–$290,700 / yearBenefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate.
Head Of Marketing, Moloco Commerce Media MOLOCOHead Of Marketing, Moloco Commerce MediaMenlo Park, CA$272,000–$375,000 / yearCommerce media is one of the most important shifts in advertising, and Moloco brings something distinctive to it: the machine learning platform that powers performance at planet scale, now helping retailers and marketplaces build thriving ad businesses. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.
Senior Software Engineer - ML Infrastructure PlaidSenior Software Engineer - ML InfrastructureSan Francisco, CaliforniaWe build the platforms that enable model developers to experiment, train, deploy, and monitor machine learning systems reliably and at scale — from feature stores and pipelines, to deployment frameworks and inference tooling. We 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.