Machine Learning Jobs in Oakland, CA

Lead development of advanced recommendation systems, driving ML innovation, maintaining ML pipelines, and collaborating across teams to enhance user engagement.

As Engineering Manager, you'll lead the AI/ML platform team by providing technical leadership, driving operational excellence, and fostering a high-performing team culture. You'll manage stakeholders, align strategies, and oversee complex initiatives for successful AI/ML infrastructure delivery.

Lead the development of advanced machine learning models and AI solutions for customer support, focusing on chatbot and voice automation technologies.

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

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 Senior Machine Learning Infrastructure Engineer will build scalable ML infrastructure, lead technical strategy, mentor engineers, and optimize performance ads delivery.

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

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 Machine Learning Engineer, you will design and develop scalable AI/ML systems, evaluate model performance, and collaborate with scientists to enhance drug discovery processes.

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

The Lead Growth Product Manager will drive user growth by managing the growth funnel, collaborating with marketing, and mentoring other PMs. This role involves analyzing user journeys, creating strategies for user engagement, and prioritizing product initiatives to enhance growth.

The Technical Recruiter will develop recruiting strategies, build talent pipelines, manage interview processes, and establish employer branding to attract top technical talent, particularly in AI and machine learning.

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 Machine Learning Engineer will develop and implement machine learning algorithms, collaborate with multiple teams, and design scalable recommendation systems to enhance business growth.

The Senior Staff Data Scientist will develop and manage quantitative credit risk models for home lending products, lead projects, analyze large data sets, and provide technical guidance.

Lead the technical strategy and architecture for machine learning solutions in content and communication safety at Roblox, ensuring proactive moderation and user safety. Manage teams and drive innovation in safety AI systems.

As a Forward Deployed AI Engineer, you'll lead customer engagement, provide technical support, create documentation, and work on product feedback while leveraging AI expertise.

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.

The Investor Services Specialist will manage daily investor operations, including processing capital activity and coordinating requests from investors and administrators.

Lead the development of AI-driven automation for security operations, focusing on integration, scalability, and accuracy of systems to enhance security efficacy.

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.

Lead the architecture and execution of credit insights products, collaborating with product and ML teams, mentoring engineers, and scaling products for better lending decisions.

As a Product Manager on the Ads team, you will drive product strategy and feature development, enhancing advertising for independent retailers and brands. You'll collaborate with cross-functional teams to optimize user experience, drive revenue growth, and leverage data-driven insights.

Lead machine learning engineers to achieve performance metrics, oversee model development, integrate ML into products, and foster team improvement.

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