Machine Learning Jobs in Berkeley, CA

As a Technical Sourcer, you'll source and engage technical talent for AI roles, collaborating with teams to build candidate pipelines and optimize sourcing strategies.

As a Technical Recruiter at Magic, you'll collaborate with executives to identify and hire top technical talent in AI and engineering, managing the candidate journey and providing market insights.

The Solution Consultant for Public Sector leads technical sales processes, collaborates with teams, and provides tailored solutions for AI-driven planning in government and education sectors.

As a Research Scientist, you'll lead research on efficiency in model training, drive innovations for large-scale neural networks, and optimize ML systems for performance.

Lead the evolution of product discovery by integrating AI into core search, enhancing user experience, and collaborating across teams to improve product offerings.

Develop and deploy machine learning models for risk assessment, collaborating with teams to enhance Gusto's product offerings while ensuring model performance and reliability.

Design and develop scalable AI/ML solutions while mentoring teams and collaborating with cross-functional partners to enhance customer experience through data-driven insights.

As a Machine Learning Systems Engineer, you will build and scale AI infrastructure, leading projects and mentoring junior engineers, while focusing on the ML project lifecycle and system architecture.

As an Enterprise Account Executive at Salesforce, you will drive revenue growth by leveraging AI-driven solutions, understanding client needs, and demonstrating how Agentforce can solve business challenges while fostering client relationships.

The Engineering Manager will establish an AI & results quality program, improve product quality, and lead quality efforts for AI applications across various tools and teams.

Lead the implementation of Liquid Foundation Models (LFMs) for enterprise customers by translating their needs into technical solutions, guiding teams, and managing end-to-end customer relationships.

As a Deployment Strategist, you will lead customer relationships, develop implementation plans, drive product adoption, and optimize success metrics for AI solutions in logistics.

As an AI Engineer at Campfire, you'll design and implement AI solutions for accounting software, working on automating workflows and building intelligent features for real-time insights.

The AI Product Manager will collaborate with clients to identify AI opportunities, lead product workshops, define requirements, and manage AI deployments while ensuring customer success and optimization.

The Data Scientist III will develop AI models for digital pathology, analyze data, collaborate with teams, and communicate findings. Requires a PhD and 5+ years experience.

Lead a team to develop and optimize AI and machine learning solutions, ensuring system performance, reliability, and security. Collaborate with cross-functional teams to deliver robust applications.

The Research Engineer will enhance AI coding models through research, experimentation, and system optimization while collaborating with a skilled team. Responsibilities include improving code generation and system performance.

Develop and enhance behavioral models for road users in autonomous vehicles, optimizing perception models to support safe driving decisions.

Lead cross-functional teams for Infotainment projects, manage schedules, align resources, and communicate progress while mitigating risks.

Lead the development of AI-powered media experiences, define product strategy, and collaborate with cross-functional teams to innovate content creation tools.

As an Intern, work on machine learning projects in problem areas such as NLP and Classification while collaborating with scientists and engineers.

The Senior Data Scientist will lead analytics initiatives, collaborate with teams on product strategy, analyze data for insights, and foster a data-driven culture to shape product enhancements.

The AI Senior Product Manager will lead AI product strategy, collaborate with teams to enhance employee productivity, and manage product delivery using agile practices.

Lead the development of machine learning models for advertising products, optimizing strategies and driving business-critical outcomes.

As an Automation Engineer, you will build automated scripts for AI training, conduct data analysis, design tests, and improve CI/CD pipelines.