Machine Learning Jobs in Berkeley, CA

Develop and enhance machine learning models, mentor juniors, maintain standards, and build client relationships while navigating complex situations.

The Data Science Director for Growth will lead a team to drive user and revenue growth through advanced analytics, AI, and experimentation.

The Machine Learning Intern will work on building models and Generative AI projects while collaborating with various teams to solve business problems using machine learning techniques.

Lead the development and implementation of machine learning algorithms, guiding teams and ensuring effective AI integration across Atlassian products.

Lead R&D to design and deploy ML models for conversational agents, enhance automation in customer support, and build scalable AI systems across business units.

The role involves developing predictive models, applying machine learning for marketing insights, and executing experiments to evaluate campaign impacts.

Design and optimize machine learning infrastructure, develop high-performance systems for AI model serving, and ensure model training and evaluation scalability.

As a Senior AI/ML Engineer, you'll build and deploy ML systems for fraud detection, collaborate with teams, and mentor peers while shaping AI/ML practices.

The Software Engineer will collaborate with researchers to develop and deploy ML models for pricing, handling model operations and challenges.

Lead a software engineering team managing technical execution and team development for AI solutions in the public sector, ensuring compliance and performance.

The role involves developing AI applications and conversational AI capabilities across Atlassian products, focusing on infrastructure, search, and conversation. Responsibilities include programming, integrating AI with existing systems, and collaborating in a fast-paced environment.

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

Lead technical direction on projects, mentor engineering teams, and build scheduling tools and forecasting interfaces for support agents. Collaborate with product and design teams to convert vague problems into technical solutions.

The role involves building APIs for model training, participating in on-call processes, and owning end-to-end projects in machine learning infrastructure.

This role involves building and managing AI/ML solutions for risk management, collaborating with teams, and providing technical leadership.

Lead the development of AI/ML systems for TIDAL, enhancing user experience through personalized recommendations and playlists while collaborating with cross-functional teams.

As a Quant AI Summer Associate, you'll research and develop machine learning models, collaborate with various teams, and apply ML techniques to solve business problems.

Lead technical programs focused on AI/ML products at Capital One, ensuring robust platform development and execution across teams. Drive team growth and promote the TPM discipline while managing complex programs and mitigating risks.

Lead the development of ranking and relevance models, design ML systems for patient-provider matching, and mentor junior team members.

The role involves developing an AI agent platform, building ML models, and enhancing user experiences with advanced algorithms. Collaboration and fast-paced execution are key.

As a Machine Learning Scientist specializing in NLP, you'll develop advanced models for real-world applications and collaborate with various teams to integrate solutions into production.

The Machine Learning Engineer II will build foundational LLM tooling, develop AI capabilities, ensure platform scalability, and collaborate with feature teams to enhance AI development.

As a Staff Product Manager at Headway, you'll build AI-powered tools, enhance patient and provider experiences, and collaborate with various teams to evolve the product portfolio.

Design and maintain ML pipelines, build data ingestion tools, collaborate with data teams, ensure data quality, and solve technical challenges in a fast-paced environment.

As a Staff Machine Learning Engineer, you will design and develop machine learning systems to prevent fraud, ensuring data quality and integrating diverse data sources while collaborating with cross-functional teams.