Machine Learning Jobs in Oakland, CA

Lead the development of AI-powered solutions for legal teams, driving product strategy and collaborating with cross-functional teams to enhance user experience.

The Product Manager will define and manage roadmaps for biometrics workstreams, translate research into product capabilities, and ensure operational excellence in a cross-functional R&D environment.

The Data Scientist/Machine Learning Engineer will enhance product listing quality using ML/AI, working cross-functionally to implement high-performance solutions.

Responsible for managing the roadmap and execution of Zipline's Autonomy teams, ensuring timely delivery of impactful autonomy software and managing cross-functional dependencies.

As a Senior Account Executive, you will drive new business acquisition in the US for complex fintech solutions, managing the sales cycle and building relationships with institutional investors.

The Staff Product Manager will define and execute ML-powered User Acquisition products, collaborate with multi-functional teams, and analyze product metrics to enhance advertising performance.

Lead a team of research scientists and engineers in machine learning and Generative AI, defining research roadmaps, promoting collaboration, and driving execution from prototyping to deployment.

As Senior Director of Product Management, you will guide the vision and delivery of DealCloud for Legal, enhancing its applications for law firms by collaborating with stakeholders and leading a product development team.

Lead technology initiatives in data lifecycle management, drive technology vision and architecture, and serve as a mentor within Equinix and the industry.

As a Distinguished Engineer, you'll lead security technology initiatives, providing expertise in architectures and driving the technology vision for Equinix's infrastructure. You'll focus on developing next-gen technologies and serve as a mentor within the technical team.

Design, build, and maintain scalable data pipelines for machine learning; optimize performance of computing clusters; collaborate with research teams for model training.

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.

Design and maintain ML pipelines and data pipelines, optimize fraud detection models, collaborate with teams, and ensure data quality for high-scale applications.

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.

The Senior Risk Data Analyst will build risk analytics functions, develop performance metrics, conduct fraud analysis, and create machine learning models while collaborating with cross-functional teams in a fintech startup.

The Machine Learning Architect will design and implement ML solutions on cloud platforms, working directly with customers to align strategies with business goals. Responsibilities include end-to-end project management, model deployment, and maintaining strong customer relationships.

As a TPU Kernel Engineer, optimize ML systems, design kernels for TPUs, and resolve performance issues. Collaborate with researchers to enhance performance metrics.

Lead the product vision and execution for AI solutions, manage the product lifecycle, and heavily engage with customers to innovate solutions.

The Research Associate will perform molecular biology and genomics experiments, manage lab operations, collaborate with computational biologists, and assist in training junior members.

Manage full-cycle recruiting for product, engineering, and AI roles, partnering with technical leadership to define profiles and manage diverse candidate pipelines.

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.