AI Automation Team - Software Engineer (Senior) Sprinter HealthAI Automation Team - Software Engineer (Senior)San Francisco, CaliforniaAt Sprinter, you’ll work on products that blend logistics, patient experience, safety, and medical operations—building and scaling backend services, data flows, integrations, and in-product experiences that directly determine whether patients get care. We’re looking for a Senior Backend or Full-Stack Software Engineer (5+ years experience) who wants to build the core systems that power last-mile healthcare delivery.
Research Scientist, AI Controls And Monitoring Scale AI, Inc.Research Scientist, AI Controls And MonitoringSan Francisco, CA$216,000–$270,000 / yearThe 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. As a Research Scientist focused on AI Controls and Monitoring, you will design methods, systems, and experiments to ensure that advanced AI models and agents remain aligned with intended goals, even in high-stakes or adversarial environments.
Senior Software Engineer - Python/Agentic AI U.S.Senior Software Engineer - Python/Agentic AIPleasanton, California$170,000–$213,000 / yearIndependently identify and assess risks and develop mitigation steps and processes to be put in place for projects, while collaborating on technical designs, management of dependencies, and efficacy of valid test data to ensure successful and high-quality deliverables. Education: Master's degree in Mathematics, Computer Science or related disciplines Technical/Specialized Knowledge, Skills, and Abilities: 7+ years of hands-on experience in Web Application, Mobile, SaaS, and RESTful API testing.
AI-Native Forward Deployed Engineer TreadAI-Native Forward Deployed EngineerSan Francisco, CaliforniaThe position also includes occasional travel to customer sites (approximately once every 4–6 weeks) to understand customer operations firsthand, build stronger relationships, and translate real-world challenges into shipped solutions. Our AI-powered platform serves Haulers, Producers, and Contractors—optimizing truck routing, loaded-mile delivery, and project planning while delivering exceptional customer service through personalized AI agents.
Software Engineering Expert - AI/ML MercorSoftware Engineering Expert - AI/MLSan Francisco, CaliforniaRemote$60–$75 / hourFor details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome. Mercor connects elite creative and technical talent with leading AI research labs.
Senior Ai/Ml Engineer Sigma ComputingSenior Ai/Ml EngineerSan Francisco, CA$240,000–$270,000 / yearThe round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year.
Manager- Growth Sales (Ai-Native) AnthropicManager- Growth Sales (Ai-Native)San Francisco, CAIn this role, you'll be responsible for growing team revenue, driving optimal commercial outcomes, and ensuring Anthropic is building long-term partnerships with the world's fastest growing AI native startups. 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.
AI Support Engineer Amiri RecruitingAI Support EngineerSan Francisco, CaliforniaStrong problem-solving skills and the ability to work in a fast-paced, dynamic startup environment. Bachelor's or higher degree in Computer Science, Software Engineering, or related field.
Director of Product Marketing, AI Sigma ComputingDirector of Product Marketing, AISan Francisco, CA$200,000–$235,000 / yearThe round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. As Director of Product Marketing for AI, you will own the positioning and go-to-market strategy for Sigma's overall AI narrative and its specific capabilities, including: natural language exploration, agentic workflows, and AI-powered application building (both internal and using external coding agents).
AI Software Engineer Bishop FoxAI Software EngineerSan Francisco, CAThis role focuses on building and maintaining agent-based artificial intelligence systems capable of autonomously generating code, conducting security analyses, triaging alerts, identifying vulnerabilities, and recommending remediation strategies, with structured human oversight and validation. The complexity of developing autonomous AI systems that analyze vulnerabilities, evaluate exploit patterns, and integrate securely with enterprise cybersecurity infrastructure requires a highly specialized educational background and cannot be performed without advanced technical training.
Staff Software Engineer - Developer Experience & Ai Enablement Grow TherapyStaff Software Engineer - Developer Experience & Ai EnablementSan Francisco, CA$217,000–$289,000 / yearThis is a hybrid role with the expectation to work onsite from our San Francisco or Seattle hub locations three days per week (Tuesday, Wednesday, and Thursday) and travel 2-3 times per year (e.g., company and department offsites). You'll Be a Good Fit If: You have deep developer experience, developer productivity, or platform engineering experience where internal engineers were your customer, or you built developer tools as the product at a developer-tools company.
Global Public Policy Manager, Compute, Infrastructure & Sovereign AI CohereGlobal Public Policy Manager, Compute, Infrastructure & Sovereign AISan Francisco, California$190,000–$230,000 / yearAll 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. Governments increasingly view AI as critical national infrastructure and are investing heavily in compute capacity, energy resources, and domestic AI ecosystems.
AI Automation Engineer ProofpointAI Automation EngineerSan Francisco, CA$123,200–$193,600 / yearIn this role, you will design, build, and continuously evolve the AI-driven applications and tools — chat assistants, workflow automations, and increasingly autonomous agents — that make our post-sales revenue-focused teams (Customer Success, Renewals, Technical Account Management, Managed Services) exponentially more effective and efficient. + Assess which AI logic should live at which layer — what should be centralized versus decentralized across different vendors and clouds — and continuously evaluate the ensemble of AI tooling: LLMs (Anthropic, OpenAI, Amazon Bedrock, etc.) and orchestration platforms (Amazon Quick Automate, UnifyApps, open source, and others).
VP, West Coast Delivery - Data, AI & Enterprise Transformation EPAM SystemsVP, West Coast Delivery - Data, AI & Enterprise TransformationSan Francisco, CA$15–$50 / hourThis leader owns delivery excellence across flagship enterprise accounts in the San Francisco–Silicon Valley corridor, leads the buildout of EPAMs Data & AI delivery capability in the Bay Area (a deliberate strategic priority), and serves as EPAMs most senior technical delivery authority with CTO, CPTO, and CDO-level clients who expect a peer, not a vendor. We are seeking a Head of San Francisco Bay Area/Data, AI & Enterprise Transformation who is native to the Bay Area technology ecosystem — deeply fluent in enterprise-scale data platforms, AI-native engineering, and frontier AI adoption — and ready to build EPAMs most technically ambitious delivery practice on the West Coast.
NewDirector of AI Strategy & Enablement WebcorDirector of AI Strategy & EnablementSan Francisco, CaliforniaThe employee regularly works at the construction work site to validate technology implementation, deliver on-site training and demonstrations where the employee will be required to climb permanent and temporary stairs and is exposed to moving mechanical parts and outside weather conditions. Basic knowledge of construction data schemas and common industry platforms such as Autodesk Construction Cloud, Revit, CMiC, Box, Oracle P6 and Workday is preferred.
Lead AI Engineer (FM Hosting, LLM Inference) Capital OneLead AI Engineer (FM Hosting, LLM Inference)San Francisco, New YorkBachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 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 2 years of experience developing AI and ML algorithms or technologies. Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
Lead AI Engineer Capital OneLead AI EngineerSan Francisco, New YorkBachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 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 2 years of experience developing AI and ML algorithms or technologies. Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
Senior Lead AI Engineer (FM Hosting) Capital OneSenior Lead AI Engineer (FM Hosting)San Francisco, New YorkBachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 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 4 years of experience developing AI and ML algorithms or technologies. Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
Lead AI Engineer (MLX) Capital OneLead AI Engineer (MLX)San Francisco, New YorkBachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 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 2 years of experience developing AI and ML algorithms or technologies. Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
Senior Lead AI Engineer Capital OneSenior Lead AI EngineerSan Francisco, New YorkBachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 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 4 years of experience developing AI and ML algorithms or technologies. Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.