Artificial Intelligence Jobs in Berkeley, CA

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 Lead Product Manager, AI will identify and build AI-powered products, drive growth and customer experience, and collaborate with cross-functional teams.

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

The AI Enablement Engineer leads programs for engineering teams to integrate AI, teaches best practices, and develops scalable learning models.

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 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.

Lead Data Scientist responsible for creating ML-driven risk assessments and AI workflows within a SaaS security platform, ensuring effective decision-making and system reliability.

The Senior AI Applications Engineer provides post-deployment support for AI solutions, ensuring high performance and customer satisfaction through technical expertise and problem-solving.

As an AI Analyst, you'll research the AI landscape and create impactful content for CIOs, synthesizing complex information into persuasive narratives to help drive executive decisions.

Design, ship, and scale production-grade AI systems, integrating LLMs with focus on reliability, safety, and performance. Collaborate across teams and mentor engineers.

Design, ship, and scale multi-agent systems, integrate LLMs and multimodal models, optimize AI workflows, and ensure production readiness in a hands-on engineering role.

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

Lead business development and strategy for AI infrastructure, focusing on cloud compute buyers and establishing strategic partnerships in the technology ecosystem.

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

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 Founding Account Executive will manage the full sales cycle for enterprise customers, focusing on regulated industries and driving long-term account growth.

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.

Manage the AI Outcomes Manager team to enhance customer adoption and value realization for AI solutions. Develop training, engage stakeholders, and improve product features based on user feedback.

As an Applied AI Engineer at Luminai, you will design experiments, optimize machine learning models, and enhance AI platforms for healthcare automation.

As a Senior Software Engineer, you will develop AI agent applications, focusing on performance, integration with systems, and mentorship of junior engineers.

The Senior Solutions Engineer will bridge product and client-facing teams, ensuring the integration of AI solutions into insurer environments, while collaborating with sales and customer success for implementation and advocacy.