Machine Learning Jobs in Berkeley, CA

Join Salesforce as a Software Engineer to develop automation tools and leverage AI/ML for infrastructure management while collaborating with security and operations teams.

As a Hardware Product Management Intern, you will engage with customers and collaborate with engineering teams to shape drone products. Responsibilities include defining product requirements, capturing customer feedback, and collaborating on launch plans.

Lead the technical direction and development of scalable ML systems for Roblox's economy, focusing on personalization, recommendations, and generative AI applications.

The Product Manager will collaborate with teams to drive AI-powered product solutions, translate customer needs into features, and engage directly with users for feedback. Responsibilities include defining product roadmaps and tracking key success metrics.

As a Machine Learning Engineer, you will train and deploy ML models, work with clients to solve enterprise challenges, and collaborate on innovative AI solutions.

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.

Seeking a Sr. Principal Machine Learning Engineer to develop AI-driven solutions for HR and Finance by collaborating with engineers, applying machine learning frameworks, and leading project development.

The Software Engineer will build and scale platform components, collaborate with product teams, and set technical direction in a fast-paced AI role.

The role involves building and improving systems for training AI models, focusing on algorithms and infrastructure for reinforcement learning. Responsibilities include enhancing performance, reliability, and usability of systems to support research.

Equilibrium Energy seeks motivated individuals for various roles including Software Engineering, Data Science, Energy Trading, and Product Management. Candidates are invited to submit resumes and cover letters for future openings.

The Agentic AI Product Manager will drive products using AI, focusing on customer experience, working with various teams to deliver solutions.

As a Staff Product Manager, you'll oversee the development of drone hardware platforms and sensors, collaborating with teams to deliver innovative solutions for various industries.

The Technical Program Manager will lead complex application development, manage project timelines, assess risks, and ensure successful delivery of Anyscale's product solutions.

The Localization Manager will develop and execute scalable localization strategies, ensure quality translations, manage vendors, and collaborate across departments.

Lead development of generative AI platforms for U.S. government, ensuring ethical deployment and compliance, managing the full product lifecycle, and engaging stakeholders.

As a Staff Machine Learning Scientist intern, you will apply deep learning to financial data, collaborating on innovative AI solutions, conducting experiments, and promoting deep learning knowledge.

The role involves leading go-to-market strategies for product launches and driving engagement through cross-functional collaboration and data-driven decision making.

Seeking an eDiscovery Associate to manage electronic data in litigation, utilizing analytics and technology for workflow efficiency and risk mitigation.

As Senior Product Manager, you'll lead the multi-cloud strategy and platform convergence for Verily Workbench, collaborating with engineering teams and influencing cross-organizational initiatives to enhance patient outcomes through AI integration and scalable research solutions.

The role involves enhancing Visa's Responsible Data Use program, analyzing AI and data use cases, and ensuring compliance with data policies while fostering cross-functional collaboration and training initiatives.

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

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.

Lead data partnerships by executing data acquisition strategies, negotiating agreements, and evaluating data quality in clinical and observational studies.

Lead research initiatives in AI-driven drug discovery, develop deep learning methods, mentor junior scientists, and contribute to technical strategy.

Conduct applied research in robotics and develop ML pipelines for training models on data collected by Scale, collaborating with customers and cross-functional teams.