Machine Learning Jobs in Berkeley, CA

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 Analyst Relations Lead will establish and manage the analyst relations program for Intercom's AI agent, educating analysts, building relationships, and driving recognition in the market.

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.

This role involves developing AI applications, focusing on LLMs and agent frameworks, and requires research skills in ML with experience in data strategy.

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.

As an intern at Gilead, you'll create innovation solutions using AI and analytics, collaborate with experts, and showcase your work. Responsibilities include improving processes within Regulatory Affairs and developing unique solutions.

As an intern at Gilead, you will support the execution of quality performance projects and contribute to data science workflows, including machine learning solutions. You will work with structured and unstructured data, contributing to quality operations and presenting your findings.

Contribute to projects in protein therapeutics by using computational tools to analyze protein structure, stability, and interactions, and collaborate with teams for insights.

As an intern at Adobe Research, you will tackle research problems, develop algorithms, run experiments, and present your findings under a mentor's guidance.

Lead software engineering and applied AI initiatives for Adobe Experience Platform, ensuring enhanced customer success through automation and intelligent systems.

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.