Top AI Jobs in San Francisco Bay Area, CA

The AI Engineering Intern will develop software to integrate AI/ML models, write code, collaborate with teams, and improve data pipelines.

As an AI Productivity Customer Success Intern, you'll improve workflows using AI tools. Responsibilities include evaluating tasks, designing solutions, and leading a capstone project to enhance efficiency in customer interactions.

The Senior Staff AI Software Engineer will architect an AI-native pharmacy benefits platform, focusing on software development, system design, and mentoring junior engineers.

As a Senior Product Engineer, you will develop web applications, APIs, and AI workflows, collaborating from conception to delivery and owning the entire process.

As a Data Science Intern, you will analyze data, create predictive models, and generate insights to support business decisions and program enhancements.

The AI Engineer will initially function as a Full-Stack Engineer, progressing to integrate AI solutions into products, enhance efficiency, and shape AI application at Sharebite.

The AI Forward-Deployed Engineer is responsible for deploying agentic AI experiences within strategic customer accounts, ensuring measurable business outcomes through technical deployments and collaboration.

Design and build AI-powered features for a litigation platform, focusing on system reliability, scalability, and integration with existing systems. Optimize performance and champion engineering best practices throughout the development process.

As a Senior Machine Learning Engineer, you'll design and develop infrastructure and models for AI-powered applications while collaborating with teams to enhance product functionality.

As a Founding Software Engineer at Glacis, you'll lead engineering efforts, develop full-stack solutions, and drive AI integration while engaging directly with enterprise customers.

The AI Analyst will translate AI capabilities into business solutions, collaborating with technical and business teams while managing stakeholder relationships and documenting requirements to enhance operational efficiency.

As an AI Automation Engineer, you will partner with business groups to assess challenges and deliver AI-driven automation solutions while ensuring code quality and collaborating with cross-functional teams.

As a Staff Machine Learning Engineer, you will design and evaluate ML models, optimize performance, and work with stakeholders to deliver AI solutions.

Own product roadmap, define product requirements, and work with engineering teams to develop AI-driven cybersecurity solutions, ensuring usability and security.

The Research Engineer will develop the DeOS framework, optimizing AI workloads, managing GPU resources, ensuring scalability, and contributing to open-source projects.

The AI Software Engineer will design and implement AI-powered features, focusing on machine learning models and their integration into production systems. Responsibilities include end-to-end development, experimentation with new tools, and improving software performance.

Design, build, and evaluate AI systems, focusing on natural language understanding and automation. Collaborate with teams to ensure production quality and performance metrics.

The Revenue-generating Solutions Manager identifies market opportunities, builds client relationships, and drives business growth by leveraging deep AI industry insights. They are responsible for exceeding revenue targets through strategic engagements and excellent communication skills.

Design and implement advanced generative AI models, optimize deployment in production, collaborate with teams, and stay updated on AI advancements.

As an AI Content Creator at Zeely, you will develop AI-generated content, create prompts, evaluate generation quality, and collaborate with design teams.

Design and build production-grade AI systems, translating real-world problems into scalable AI-driven solutions while mentoring engineers and shaping technical strategy.

As a Staff Product Designer, you'll lead design strategy for AI-centric workflows, mentor other designers, and enhance the design process while driving organizational impact in a B2B SaaS environment.

Lead execution across client, research, and product efforts, turning abstract ideas into roadmaps. Manage high-leverage projects, ensuring teams remain focused and aligned with goals.

Lead the development of AI solutions on the Salesforce platform to optimize business operations, automate workflows, and enhance organizational efficiency through generative AI.

Lead the development of AI-powered trading systems, focusing on building pipelines, enhancing research with AI, filtering signals, and managing infrastructure for data processing in a fast-paced trading environment.