Artificial Intelligence Jobs in Berkeley, CA

The AI and Analytics Associate will automate workflows, develop data-driven strategies, and track KPIs to improve GTM performance while collaborating with various teams.

The Principal Data Engineer will architect and lead the development of a Multi-Agent ETL Platform, modernize data platforms, implement data pipelines, and drive innovation with AI integrations.

The AI Developer Advocate will promote MongoDB's AI/ML capabilities, engage with the community, create resources, and build partnerships.

The software engineer will design and deploy AI-powered automation, enhance user experience, and implement LLM-backed features in collaboration with teams.

The Senior Software Engineer will design and develop AI-powered solutions, focusing on LLM technologies and collaborating with teams to enhance product features.

The role involves designing and implementing AI solutions, collaborating with customers to build scalable AI applications, and providing technical leadership within MongoDB's AI Practice.

Develop and execute go-to-market strategies, positioning, and messaging for AI products, collaborating with sales and marketing teams.

The Senior Machine Learning Engineer will build AI-driven customer support products, collaborate cross-functionally, and maintain large-scale ML systems, leveraging modern techniques for real-world impact.

Engineer on the AI Growth team, building user experiences for scientific AI. Responsibilities include product development, customer engagement, experimentation, and optimizing growth strategies.

Lead the integration of generative AI into the creative process, designing and producing multi-format assets while ensuring brand consistency and data-driven strategies. Collaborate across teams to refine creative goals, leveraging AI tools for rapid prototyping and enhanced content development.

Lead the Cameras team by developing AI-powered video security products, focusing on customer challenges, roadmaps, and successful feature launches.

The role involves building user-facing UIs using Vite, React, and Tailwind, developing modular design systems, and collaborating with AI teams.

The Director, AI Partner Solutions will develop delivery models, partner strategies, and support pipeline development for AI Decisioning Studio, focusing on partnership growth and market development.

The Senior Lead AI Engineer will collaborate with cross-functional teams to design, develop, and deploy AI systems, optimizing performance and driving innovative solutions.

As an AI/ML Engineer, develop and optimize analytics frameworks to enhance autonomous vehicle development, focusing on automation tools and collaboration with engineering teams.

The AI Applied Scientist will conduct research in AI, develop models, collaborate with engineers, and enhance Figma's products through advanced machine learning techniques.

AI Engineers at Hiya develop and integrate AI solutions, conduct model evaluations, and optimize large language models, collaborating with cross-functional teams.

The AI Specialist will design AI solutions, develop agent systems, implement AI observability, and optimize models to enhance risk management in financial services.

As a Staff Software Engineer in AI, you will design and develop AI solutions to enhance member financial experiences, guide architecture, mentor engineers, and drive initiatives from concept to completion.

Develop advanced ML models for an advertising platform, focusing on performance and scalability. Lead technical strategy and collaboration across teams to enhance campaign automation and optimization.

As a Field Data Scientist at Braze, you'll collaborate with clients on data integration, develop ML models, and ensure successful product adoption while shaping the product strategy.

The role involves leading the design and development of cybersecurity solutions for AI systems, providing technical guidance, and collaborating with stakeholders to improve security architecture.

Design and implement novel architectures for automated research, collaborate on advanced AI research, and publish key findings.

As an Enterprise Customer Success Manager, you'll manage key enterprise accounts, drive customer satisfaction, and develop customer relationships to ensure product adoption and account growth.

The AI Research Infrastructure Engineer will design, build, and implement AI systems and automated data pipelines for research, focusing on workflow automation and integration with tech stacks.