Artificial Intelligence Jobs in Berkeley, CA

Lead cross-functional teams to design and deliver commercial analytics projects for life sciences clients. Provide strategic guidance, analyze data, develop actionable insights, manage client communications and timelines, build/optimize data processes (including coding and visualization), support business development, and mentor junior staff.

In this role, you will lead AI personalization initiatives, develop AI/ML models for user experience, collaborate across teams, and ensure rigorous development practices.

The Growth Lead will drive the go-to-market strategy and user acquisition for an AI-powered SaaS product targeting SMBs, focusing on growth from launch to scale via effective user engagement tactics.

Lead the go-to-market strategy and execution for a new AI-powered consumer product, focusing on customer acquisition through various channels and optimizing performance metrics.

Drive the go-to-market strategy and user acquisition for an AI-powered SaaS product, focusing on growth experiments and collaboration with teams.

Seeking a hands-on Growth Lead to launch and drive user acquisition for a new consumer AI product, with ownership of growth strategies and metrics.

The Growth Associate & Product Launch Coordinator will support the launch of an AI consumer product, focusing on user acquisition, go-to-market planning, and onboarding improvements while working with the Head of Growth and product team.

Lead the design strategy for AI products, creating intuitive user experiences for AI-powered tools. Mentor designers and innovate new AI-native products.

The Head of Partnerships will develop and manage partnerships, build programs for early-stage companies, and represent Fastino at industry events to drive business growth and brand presence.

The role involves designing and developing high-performance web apps, improving user interfaces, maintaining component libraries, and ensuring code quality through comprehensive testing and collaboration with other teams.

As a Backend Engineer at Brain Co., you will design, build, and operate backend services and data pipelines for AI products, focusing on robustness and scalability. You'll collaborate across teams and own the full service lifecycle while ensuring high availability and performance. You should have 3+ years of experience in production backend systems and a strong foundation in APIs and distributed systems.

The Founding Engineer will architect and build an AI-native compliance platform, focusing on document processing, AI systems, and productionization, while collaborating with the founding team.

As an AI Engineer, you'll lead backend implementation, build AI-powered products, and ensure high-quality systems, contributing to Elicit’s tech stack and user experience.

This role involves driving new client acquisition and revenue growth through full-cycle sales execution and relationship building with stakeholders, while maintaining pipeline tracking in CRM.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

Lead the development of an AI-powered platform focusing on customer experiences, integrating LLM systems and optimizing automation within the automotive industry.

Lead the development of Jerry.ai's AI platform and customer experiences, collaborating with engineers and partners to optimize processes and systems.

Lead AI platform development at Jerry.ai, focusing on customer experiences and automation using large language models and internal APIs. Collaborate with engineers to enhance service efficiency and maintain product standards.

Lead the development of an AI-powered customer experience platform, collaborating with engineering and applying AI best practices for improvement and scaling.

The Frontend Engineer will build interfaces for software delivery, collaborating with cross-functional teams, driving feature development, mentoring teammates, and advancing engineering standards.

Seeking Machine Learning Systems Engineers to build end-to-end 3D native ML systems, focusing on training and inference challenges.

The AI Infrastructure Engineer designs, develops, and optimizes core capabilities for the AI inference platform, focusing on reliability, scalability, and operability of infrastructure and services.

You will design and build high-performance graphics systems for 3D generative AI, collaborating closely with artists and researchers to innovate production pipelines.

As a Generative AI Researcher Intern, you will develop large-scale 3D generative models, bridge research and product development, and collaborate with teams to advance 3D AI applications.

Lead and scale forward-deployed engineering pods to convert complex customer workflows into production AI agent deployments. Build operating cadence, quality bars, deployment playbooks, partner with product, and hire/coach leaders while staying technically hands-on to ensure reliable, observable, and safe agent systems.