Artificial Intelligence Jobs in Berkeley, CA

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

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.

Drive technical sales and customer success for AI companies, owning implementation and providing effective solutions for usage-based billing.

Build and maintain scalable backend services and APIs, optimize system performance, collaborate with stakeholders, and improve AI workflows.

Lead the development of an AI-powered platform at Jerry.ai, integrating LLMs and ensuring a seamless customer experience while driving systemic improvements in customer satisfaction and automation rates.

Lead the development and scaling of an AI platform for car ownership, integrating advanced AI systems while improving customer experience and operational efficiency.

Lead the development of an AI-powered platform and customer experiences, integrating modern LLM systems and managing technical tradeoffs while improving customer satisfaction and automation rates.

Lead the development of Jerry.ai's AI platform and user experiences, integrating LLM systems and improving automation and customer satisfaction.

The role involves applying diffusion techniques and developing AI models to enhance 3D reconstruction pipelines for various industries.

As an AI Platform Backend Engineer, you'll design and deploy backend systems utilizing AI for real-world applications, optimize performance, and mentor junior engineers while working directly with clients to address complex challenges.

As an AI Platform Engineer, you will design and develop AI-driven backend solutions, optimize performance, and collaborate with customers and teams.

The Corporate AI Engineer develops and operationalizes AI solutions across the enterprise, ensuring compliance and optimizing performance while working closely with various teams.

As a Full-Stack Engineer at Labelbox, you will develop and maintain AI tools, focusing on data training systems, intermediate user interfaces, scalable architectures, and work in a collaborative, fast-paced environment.

The Head of Applied AI will lead the AI team, manage architectural initiatives, foster a productive environment, and ensure the delivery of AI features that meet customer needs.

The AI Engineer will develop scalable AI systems, optimize LLMs, maintain data workflows, and ensure system resilience while collaborating on innovative solutions.

As an AI/ML Platform Engineer, you will develop APIs, data pipelines, and workflows to support AI capabilities for scientific research, ensuring system reliability and scalability.

The ML Software Engineer will design and develop scalable backend services for AI/ML workflows, focusing on data engineering and system reliability.

Develop CAD automation pipelines and collaborate with teams to optimize designs for micromachines, ensuring manufacturability and functionality.

The Associate Director will lead AI change management efforts, integrating project management and change methodologies to enhance AI adoption across the organization, train teams, and support transformation efforts through strategic partnerships.

Rapidly prototype and iterate AI-powered features (LLMs, embeddings, real-time audio, APIs), lead experiments from hypothesis to proof-of-concept, collaborate with product and engineering to translate prototypes into product-aligned solutions, and share learnings and artifacts to accelerate team innovation.

The Staff Backend Engineer is responsible for designing and developing AI platforms, backend services, and APIs, ensuring scalability and reliability while collaborating with cross-functional teams and mentoring engineers.

As a Founding Account Executive, you will drive the sales cycle, generate leads, become a product expert, and expand customer accounts, all while serving as a trusted advisor on voice AI solutions.

As a Staff/Principal AI Engineer, you'll design and implement AI strategies for legal tech, lead engineering teams, and guide AI projects while collaborating across departments.

As an Embodied AI / Simulation Engineer, you will develop manipulation systems for robotics, focusing on simulation, machine learning, and real-world implementation. Your responsibilities include designing training policies, maintaining simulation environments, and deploying models to robotic systems.

The Senior Applied AI Engineer will build AI-driven interactive product demos, collaborating with design and engineering teams to create intelligent multimodal experiences.