Artificial Intelligence Jobs in Berkeley, CA

Develop backend applications using Flask, optimize performance, collaborate with teams for UI/UX, and maintain existing applications.

Develop and maintain AI-driven features, design scalable data structures and pipelines, and enhance platform capabilities while collaborating with teams.

The Named Account Manager drives sales engagements, identifies customer challenges, and positions solutions effectively while managing complex sales cycles and relationships with partners.

You will lead AI diligence services, manage client relationships, develop playbooks, and ensure high-quality deliverables. You'll support sales and establish a strong network in private equity.

As an Early Career Software Engineer, you will design and develop software solutions focusing on AI integration, collaborating with cross-functional teams to enhance childcare services.

Develop AI agents for modernizing SQL and architect migration strategies using LLM. Prototype tools and explore AI approaches for database migrations.

Lead the design and delivery of AI capabilities, mentor engineers, and shape AI strategy for investment management platforms.

Lead a design team focused on AI UX/UI. Responsibilities include managing designers, collaborating on product experiences, conducting user research, and driving design processes.

Lead the design of user experiences utilizing generative AI. Collaborate with cross-functional teams and mentor junior designers while focusing on user-centered design and usability studies.

As a Staff AI Product Engineer, you'll design and develop AI-enhanced healthcare products, collaborate with cross-functional teams, and ensure compliance in delivery.

Lead the design and delivery of AI-powered platform capabilities for consumer solutions, mentor engineers, and collaborate across teams.

The Staff Machine Learning Engineer will lead the development of AI systems for Unity, focusing on multi-agent systems, reinforcement learning, and AI planning for games and simulations.

Lead the AI Solutions Architect team, build AI growth workflows for enterprise customers, and establish best practices for customer success and expansion revenue.

Lead the vision and development of AI products at AirOps, driving execution with engineers and designers while utilizing customer insights and technical expertise.

Join a small team to innovate video game experiences with AI in anime. Collaborate with top experts and shape character interactions.

Join a talented team to innovate in AI-powered anime games, focusing on LLM research and character development. Significant artistic freedom is provided.

As an AI Engineer, you will enhance AI capabilities across Generative AI and Search, leading projects and innovating product experiences. The role involves overseeing AI infrastructure, leading development from ideation to evaluation, and adapting to user needs in a dynamic environment.

The AI Engineer will develop AI applications, lead customer engagements, monitor system performance, and provide feedback to influence product direction. Requires expertise in machine learning and software engineering.

The Data Scientist will lead research to enhance AI agents' capabilities through model development, data analysis, and collaboration with cross-functional teams.

The AI GTM Product Manager will oversee the commercialization of fraud prevention products, lead market analysis, and craft strategies to drive product success. Responsibilities include developing reporting tools and collaborating with cross-functional teams to enhance product messaging and client engagement.

The AI GTM Product Manager leads commercialization strategies for AI products in fraud prevention, analyzing market opportunity, driving product messaging, and collaborating with cross-functional teams to ensure success.

The Staff Product Manager will enhance the AI/ML platform, focusing on feature engineering and model training while collaborating with cross-functional teams to deliver cutting-edge solutions.

Accelerate NodeZero AI Cybersecurity roadmap, define product strategy for AI capabilities, collaborate with teams to enhance product features, and analyze market opportunities.

The Product Manager will evaluate and manage relationships with LLM models, define product strategy, and coordinate cross-functionally to enhance customer experience while driving product roadmap and adoption.

The Machine Learning Engineer will prototype and evaluate LLM features, collaborate with teams, contribute to technical design, and measure success metrics.