Machine Learning Jobs in Oakland, CA

As a Staff Machine Learning Engineer, you will design and develop ML systems to combat fraud by building data pipelines, integrating data sources, and ensuring high-quality model performance while collaborating with teams.

You will build and maintain infrastructure for ML engineers, tackle complex architecture challenges, and lead projects from design to launch.

Lead the global finance process ownership function, managing end-to-end finance processes, improving efficiency through automation and continuous improvement, and aligning operations with Workday technology.

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.

The Lead Data Scientist will drive innovation in AI solutions, evaluate model performance, mentor technical staff, and ensure quality integration of AI/ML into Salesforce products. Responsibilities include collaborating across teams, defining quality strategies, and leading R&D efforts in AI technologies.

The Global Director of Clinical Insights Development will lead teams to drive patient-centric innovation using AI and data analytics while collaborating with various stakeholders to enhance heart failure management.

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.

Lead AI Enablement initiatives in Sales Operations by integrating AI-driven solutions to enhance efficiency, accuracy, and data-driven decision-making.

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.

The Data Science Intern will work on improving ad-tech systems and conducting deep-dive analyses to optimize bidding strategies, while designing experiments and providing insights for product decisions.

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 Technical Account Manager ensures enterprise customers successfully implement and adopt Ambient.ai's platform, driving value and managing relationships to maximize success and renewal.

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.