Machine Learning Jobs in Berkeley, CA

Lead the design and optimization of infrastructure for ML systems, manage GitOps repository, Kubernetes environments, and observability platform, ensuring performance and security in production.

Manage a team of climate scientists, data scientists, and software engineers, overseeing data models and pipelines for sustainability decision-making.

Phonic is seeking a Machine Learning Research Scientist to work on audio foundation models, focusing on model training and data generation.

Join Phonic as a Machine Learning Research Engineer to develop scalable infrastructure for training and deploying audio models, focusing on performance and reliability.

The role involves developing post-training techniques for improving LLM capabilities, collaborating with teams, and publishing research findings.

Lead the development of advanced machine learning systems for Pinterest's advertising ecosystem, focusing on user ads action prediction and personalized Shopping Ads recommendations.

The Enterprise Account Executive is responsible for defining and driving product-led sales, managing the sales process for new accounts, understanding customer technical challenges, and articulating value propositions.

Join Tecton as a Solutions Architect to drive technical decisions, enable customer adoption of AI/ML solutions, and provide expertise in data systems.

The Senior Strategic Growth Manager will develop customer relationships with retailers, advise on retail media strategies, and drive ad revenue growth through data-driven insights and strategic initiatives.

The Support Engineer at Exa resolves engineering issues, assists customers, and manages support projects, contributing to AI search engine development.

Lead and develop a high-performing Sales Engineering team, advising on complex workflows and driving customer success with the Gong Revenue AI platform.

Manage and build a high-performing Sales Engineering team, mentor employees, collaborate cross-functionally, and drive revenue growth through effective solution-based selling.

The Lead Product Manager will drive the personalization strategy for Scribd's platform, overseeing recommendations, metrics, and algorithm integrations while collaborating with cross-functional teams to enhance user engagement.

As a Machine Learning Engineer at Cognitiv, you will develop and scale ML infrastructure, optimize workflows, and collaborate with teams to enhance advertising solutions using deep learning.

Design and implement large-scale recommendation systems. Develop deep learning models for ranking and personalization and translate research into impactful production systems.

Design, build, and improve ML systems and infrastructure, mentor junior engineers, and write maintainable code in a customer-focused environment.

Collaborate on designing recommendation systems, develop ML models, build infrastructure for deployment, conduct A/B tests, and ensure system reliability.

The Senior Staff ML Engineer will lead the architecture and implementation of Zendesk's GenAI platform, ensuring systems are secure and scalable while mentoring teams and aligning engineering standards with business goals.

Drive growth of AI solutions within legal markets, manage sales cycles, build client relationships, and collaborate cross-functionally to tailor solutions.

The PhD Intern will conduct research in Generative AI and deep learning for Figma products, develop AI solutions, and publish findings at conferences.

The Software Engineer will develop algorithms and code related to AI, robotics, and sensing technologies, impacting key systems at Zoox.

Design and deliver new autonomous forklift capabilities using machine learning, providing technical leadership and contributing to product development.

Lead the User Understanding backend team in building data pipelines, collaborate with ML engineers, and optimize ML systems to enhance user experiences.

Lead the AI Products team to develop various AI products, providing engineering leadership, driving product reliability, and overseeing hiring and team practices.

As a Machine Learning Engineer, you'll build ML infrastructure, develop scalable data pipelines for farm images, and collaborate with farmers and agronomists to apply ML solutions.