Senior Security Engineer MetriportSenior Security EngineerSan Francisco, CaliforniaIn a nutshell, we're looking for a security engineer with the following specific qualities: You’re entrepreneurial-minded, with an olympian-level work ethic (nearly our entire engineering team consists of former founders). We've found product-market fit with multi-million ARR, 100+ customers (including Amazon One Medical, Strive Health, Circle Medical, and Brightside Health), backing from top VCs, and years of runway.
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.
NewMember of Program Staff, Data River AIMember of Program Staff, DataPalo Alto, CaliforniaWe bring a proven track record of scaling consumer systems for hundreds of millions of users and architecting the pre-training infrastructure behind today's frontier models. Evidence of expertise / top of field in a non-technical domain, such as but not limited to: literature, philosophy, history, economics, sociology, psychology, political science.
Lead Data Scientist CohereLead Data ScientistSan Francisco, CaliforniaAll legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. Own the science: design and lead experimentation programs including A/B tests, multi-armed bandits, causal inference studies, that directly map to product and go-to-market decisions.
Data Scientist Imran YousufData ScientistSan Francisco, CaliforniaOur team members have backgrounds that include running Amazon's European supply chain, building JustEat's corporate meal delivery platform, and monitoring industrial emissions with satellites for Al Gore. If you are a curious and commercially-minded Data Scientist with a passion for environmental issues, and you enjoy collaborating with others to solve real-world challenges, we encourage you to apply for this exciting opportunity.
Data Scientist, North Insights CohereData Scientist, North InsightsSan Francisco, CaliforniaYou'll own analytical work end-to-end: from framing the right questions and building the models to shipping insights, tools, and results that product leaders, sales teams, and enterprise customers rely on. Genuine excitement about AI: you follow the research, have opinions, and enjoy being in the weedsComfort operating in ambiguity, managing multiple workstreams across different stakeholders, and distilling insights into a concise, actionable narrative.
Director of Software Engineering - Data Platforms - #4919 GRAILDirector of Software Engineering - Data Platforms - #4919Sunnyvale, CA$224,000–$321,000 / yearThe ideal candidate brings over 15 years of software engineering experience, combining deep technical expertise in big data, cloud infrastructure, and AI-driven workflows (including RAG and LLM applications) with a proven track record of scaling engineering teams (10+ headcount). We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are using the power of next-generation sequencing (NGS), population-scale clinical studies, and state-of-the-art computer science and data science to overcome one of medicine’s greatest challenges.
Data Science, Finance & Strategy AnthropicData Science, Finance & StrategySan Francisco, CAYou'll own how Finance quantifies relative model value and market position: maturing our cross-product benchmark suite, building task-cost and price-elasticity estimates that inform live pricing and packaging decisions, sourcing and running capability and market analysis around every model launch, and standing up forecasting on third-party and survey data. This 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.
Product Management, Human Data Platform AnthropicProduct Management, Human Data PlatformSan Francisco, CAThis 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. This includes the infrastructure to simulate real-world environments and tasks, novel interfaces for data vendors to use, and the pipelines that enable researchers to gather high-quality data at scale.
Data Scientist, Safeguards AnthropicData Scientist, SafeguardsSan Francisco, CAThis 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 an early member of our Safeguards Data Science and Analytics team, you will play an instrumental role in our company's mission of building safe and beneficial artificial intelligence by building and scaling a data driven culture from the ground up.
Senior/Staff Data Scientist, Storefront QuinceSenior/Staff Data Scientist, StorefrontPalo Alto, CA$171,000–$285,000 / yearEnd-to-End Pipeline Ownership: Create new relevance ranking features, build automated end-to-end modeling pipelines in Python and SQL, deploy ML models into production, and run rigorous live experiments. You will report to our VP of Engineering and collaborate closely with engineering managers, software engineers, and product managers to move our capabilities from traditional models into near real-time, personalized, and Generative AI-driven experiences.
Data Scientist, Developer Productivity AnthropicData Scientist, Developer ProductivitySan Francisco, CAThis 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. You'll partner with Developer Productivity engineering leadership to define what "developer productivity" means in an AI-first org and to set the strategy for how Anthropic measures, understands, and improves it.
Data Science Expert - Fully Remote MercorData Science Expert - Fully RemoteSan Francisco, CaliforniaRemote$60–$70 / hourDevelop data and MLOps scenarios using tools like Snowflake , Databricks , Python/R , SQL , Tableau/Power BI , and enterprise ML platforms such as SageMaker , Vertex AI , and MLflow . Apply enterprise data science methodologies, including statistical rigor , A/B testing frameworks , and MLOps best practices to produce reference analyses and executive-level insights.
Site Reliability Engineer, Data & Caching Systems Ursus, Inc.Site Reliability Engineer, Data & Caching SystemsFoster City, CA$75–$85.19 / hourThe IT storage team manages petabytes of on-premises, clustered POSIX storage for AI modeling and is developing the next-generation storage solutions. Responsibilities: Onboard new customers onto our caching solution, helping them update their applications and verifying successful integration.
NewSenior Electrical Engineer AECOMSenior Electrical EngineerOakland, CAAbout Buildings + Places: Our Buildings + Places practice includes architecture, interiors, building and system engineering, urbanism, planning and landscape design, strategy +, economics, technology solutions, asset advisory, and cost and program management. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.
Innovations and AI Solutions Engineer Wilson Sonsini Goodrich & Rosati, Professional CorporationInnovations and AI Solutions EngineerPalo Alto, California$116,875–$158,125 / yearSupport innovation projects by facilitating and participating in discussions, meetings with management and department groups, developing business processes, implementing data integrations and recommending best practices on the effective use of data and data analytics tools. Extensive experience and working knowledge with SQL and relational databases, including query authoring, database management, and creating/maintaining large data stores in SQL and cloud platforms such as Azure or AWS.
NewSenior Manager Of Data Science Production Engineering, Devops Natera IncSenior Manager Of Data Science Production Engineering, DevopsSan Carlos, CA$179,900–$224,850 / yearAs a Senior Manager of the DevOps team inside our Data Science Production Engineering (DSPE) department, you will have the opportunity to work with Natera's diverse and ultra-large data sets (up to PB size), build upon the latest information and cloud technologies, create solutions for the most cutting-edge medical diagnostics and genomics applications, and make real impact by delivering reliable, efficient, high performance data/cloud/automation systems to support Natera's Lab Operations and Genetic Counselor/Lab Director teams, and ultimately impact patients' medical outcomes. Lead and manage the technical documentation's creation and maintenance/update for all DSPE DevOps owned software tools and systems, for example, design specifications, software verification and validation (V&V) protocols and reports, deployment/update/maintenance records, user guides, etc.
Machine Learning Infrastructure Engineer Genesis TherapeuticsMachine Learning Infrastructure EngineerSan Mateo, CAYou will work alongside machine learning researchers, computational scientists, and engineers to build the infrastructure that transforms massive, heterogeneous protein and chemical datasets into reliable, high-performance inputs for our models and drug discovery workflows. Our generative and predictive AI platform, GEMS (Genesis Exploration of Molecular Space), integrates AI and physics into industry-leading models to generate and optimize drug molecules, including the breakthrough generative diffusion model Pearl for structure prediction.
Sr. Grid Integration Engineer 1st Avenue PowerSr. Grid Integration EngineerMountain View, CaliforniaTom’s family office investment firm, 1st Avenue Capital, is building teams for the next generation of advanced solar power system architecture and AI to aggressively drive down the cost of and equitable access to clean and reliable energy.[1] 1st Avenue’s advanced large scale power systems are addressing the increasing inadequacy of the grid to meet the massively growing power demands of the digital economy, while its intelligent distributed solar utilities are leapfrogging the grid to provide equitable access to inexpensive, clean and reliable power to underserved communities around the world. When Tom sold his interest in Avantus’ development business to KKR in mid-2024, it had delivered over $1 billion in profit and secured over $10 Billion in power purchase agreements and project financings with a pipeline of over 30 GW of solar and 90 GWh of energy storage, capable of powering the homes of more than 20 million Americans day and night.
Senior Staff Machine Learning Engineer TapestrySenior Staff Machine Learning EngineerMountain View, CaliforniaPartner closely with Tapestry’s machine learning technical leads, Power Systems Scientists, Software Engineers, Product Managers, and global utility partners to translate complex, large-scale grid data into actionable insights that improve grid planning, operations, and maintenance. Own the technical roadmap and system architecture for Tapestry’s multimodal intelligence engines, scaling models across multimodal machine learning, graph neural networks, geospatial and remote-sensing data, reinforcement learning for physical control systems, and multi-turn agentic systems.