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.
Kernel Engineer - New Grad Cerebras SystemsKernel Engineer - New GradSunnyvale, CaliforniaWorking alongside experienced kernel, compiler, performance, and hardware engineers, you will learn how algorithms are mapped to specialized hardware and contribute to software that maximizes compute utilization and system performance. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.
Technical Product Manager - AI Systems SGA Inc.Technical Product Manager - AI SystemsSan Francisco, CA$150,000–$210,000 / yearMessage frequency varies and data rates may apply, but you can reply STOP to any SMS message to opt-out of texts and may contact SGA at info@sgainc.com to opt-out of AI communications. Partner closely with engineering, machine learning, and platform teams to drive architecture discussions, product decisions, and implementation strategies.
Staff Data Scientist - Trust And Safety DataBricksStaff Data Scientist - Trust And SafetySan Francisco, CA$192,000–$260,000 / yearMore than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. You will join a group of "full stack" data scientists who partner with engineering and security teams, focusing on strategic plans that make Databricks secure and safe for our customers.
Staff Software Engineer - Backend DataBricksStaff Software Engineer - BackendMountain View, CA$192,000–$260,000 / yearMore than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. We do this by building reliable, scalable services and infrastructure with intuitive UIs and by delivering high-impact, cross-cutting projects that drive the "land and expand" strategy for enterprise customers.
Senior Director, Applied Research Discover Financial ServicesSenior Director, Applied ResearchSan Francisco, CA$318,100–$363,100 / yearPhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research. Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money.
Senior Frontier Agents Engineer (Applied AI) Scale AI, Inc.Senior Frontier Agents Engineer (Applied AI)San Francisco, CA$216,000–$270,000 / yearEvery day, we work with organizations across finance, healthcare, manufacturing, media and telecommunications to build production AI agents that automate complex workflows, help humans, reason over enterprise knowledge, and operate safely at scale. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training.
Staff Frontier Agents Engineer (Applied AI) Scale AI, Inc.Staff Frontier Agents Engineer (Applied AI)San Francisco, CA$252,000–$315,000 / yearEvery day, we work with organizations across finance, healthcare, manufacturing, media and telecommunications to build production AI agents that automate complex workflows, help humans, reason over enterprise knowledge, and operate safely at scale. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training.
Frontier Agents Engineer (Applied AI) Scale AI, Inc.Frontier Agents Engineer (Applied AI)San Francisco, CA$180,000–$225,000 / yearEvery day, we work with organizations across finance, healthcare, manufacturing, media and telecommunications to build production AI agents that automate complex workflows, help humans, reason over enterprise knowledge, and operate safely at scale. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training.
Data Scientist Pyramid Consulting, IncData ScientistPleasanton, CAExperience 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. 4. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
Principal Research Engineer, Post-Training Character AIPrincipal Research Engineer, Post-TrainingRedwood City, CATechnical 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.
Senior Data Scientist OmnissaSenior Data ScientistMountain View, CaliforniaWork with engineers to design and implement scalable machine learning pipelines, covering all stages from data ingestion and feature extraction to training, testing, validation, inference, and continuous learning in production systems. This is a hands-on role, and you will be expected to develop AI/ML based solutions, work closely with cross-functional teams to solve complex business problems, and contribute to the company’s vision through advanced analytics, machine learning, and artificial intelligence.
Agent Engineer Kaizen StackupAgent EngineerSan Francisco, CaliforniaYou will work closely with our research, product, and data science teams to bring innovative ideas to life and create agents that can understand and respond to human language, make decisions, and solve complex problems. In this role, you will be responsible for designing, developing, and maintaining sophisticated AI agents that can perform a wide range of tasks autonomously.
Senior Machine Learning Engineer RubrikSenior Machine Learning EngineerPalo Alto, CA$188,500–$282,700 / yearDesigning multi-stage inference pipelines that handle both real-time enforcement (inline prompt, response, and tool-call blocking) and high-throughput batch workloads (offline scoring, back-testing, corpus mining) while processing billions of tokens daily across Global 2000 customer agent fleets. Designing automated data curation pipelines that mine live customer environments (with privacy and tenancy guarantees) for high-value per tenant training examples, such as long-tail violations, near-miss policy edges, or novel agent behaviors, and routing them back into the training loop for each customer.
Member Of Technical Staff - US Talent Pool Reasonable AIMember Of Technical Staff - US Talent PoolSan Francisco, CAProjects our team is working on include designing evals for state of the art coding models, developing novel post-training paradigms grounded in formal methods, and building the tooling to deliver correctness guarantees in production software engineering. World-class team and environment: an opportunity to build alongside deeply experienced founders, in a well-funded company that’s backed by industry leading VCs and angels including Oriol Vinyals, Zoubin Ghahramani, Jonathan Frankle and Guy Podjarny, amongst many others.
Member of Technical Staff - US Talent Pool Reasonable AIMember of Technical Staff - US Talent PoolSan Francisco, CAProjects our team is working on include designing evals for state of the art coding models, developing novel post-training paradigms grounded in formal methods, and building the tooling to deliver correctness guarantees in production software engineering. World-class team and environment: an opportunity to build alongside deeply experienced founders, in a well-funded company that’s backed by industry leading VCs and angels including Oriol Vinyals, Zoubin Ghahramani, Jonathan Frankle and Guy Podjarny, amongst many others.
Senior Distinguished Engineer, AI Compute (Remote Eligible) Capital OneSenior Distinguished Engineer, AI Compute (Remote Eligible)San Francisco, CaliforniaRemoteBachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success.
NewPrincipal, Software Engineer WalmartPrincipal, Software EngineerSunnyvale, California$143,000–$286,000 / yearRole summary: The (USA) Principal, Software Engineer leads the design and delivery of scalable platform capabilities, including cloud-native architectures and AI/ML frameworks, to support Walmart’s evolving technology landscape. You have experience in building and scaling systems that orchestrate and execute complex workflows in big data leveraging Apache Spark, Apache Kafka , and BigData stack preferably in Google Cloud Platform.
Software Engineer (Data Pipelines & Interface) MetamorphicSoftware Engineer (Data Pipelines & Interface)Palo Alto, California$160,000–$240,000 / yearMetamorphic is developing new approaches to intelligence by combining machine learning with large-scale experimental neuroscience, informed by the principles that make the brain efficient, flexible, and robust. This includes database design and administration, ETL/ELT pipelines, ingestion services, data modeling, schema evolution, observability, and performance optimization across both SQL and NoSQL systems.
ML Research Engineer (Performance Engineering) MetamorphicML Research Engineer (Performance Engineering)Palo Alto, California$200,000–$280,000 / yearYou will write and optimize GPU kernels, profile and eliminate performance bottlenecks, tune low-precision training strategies, and work closely with researchers to ensure architectural decisions translate to efficient and scalable implementations. Metamorphic is developing new approaches to intelligence by combining machine learning with large-scale experimental neuroscience, informed by the principles that make the brain efficient, flexible, and robust.