Machine Learning Jobs in Oakland, CA

Lead and grow the Ranking & Relevance engineering team to enhance matching systems using machine learning and search technologies, collaborating cross-functionally to improve user experience.

The role involves developing predictive models, applying machine learning for marketing insights, and executing experiments to evaluate campaign impacts.

Lead a software engineering team managing technical execution and team development for AI solutions in the public sector, ensuring compliance and performance.

The Senior Product Marketing Manager will develop an AI messaging framework, lead sales enablement, conduct research, and create thought leadership content.

As a Senior Machine Learning Engineer, you will develop and scale machine learning models for Rovo Chat, ensuring reliability and utility, while communicating solutions across teams.

Lead technical direction on projects, mentor engineering teams, and build scheduling tools and forecasting interfaces for support agents. Collaborate with product and design teams to convert vague problems into technical solutions.

Lead the design and deployment of machine learning models to detect fraud, collaborating with teams to optimize performance and effectiveness while integrating solutions into existing systems.

The Machine Learning Engineer will build models to detect fraud in Block's ecosystems, collaborate with teams, and enhance ML processes.

As an AI/ML Engineer, develop and optimize analytics frameworks to enhance autonomous vehicle development, focusing on automation tools and collaboration with engineering teams.

Develop advanced ML models for an advertising platform, focusing on performance and scalability. Lead technical strategy and collaboration across teams to enhance campaign automation and optimization.

The Principal Machine Learning Engineer will lead the Content Relevance team in optimizing personalized video recommendation systems, advancing core ML capabilities, and collaborating on tech strategies. This role also involves mentoring, technical direction, and applying best practices for system performance.

As a Forward Deployed Engineer in ML, you will design and implement machine learning solutions for enterprise clients, ensuring successful deployment and client satisfaction while collaborating with numerous technical teams.

Lead initiatives to enhance dispute resolution and scam protection for Cash App users, ensuring compliance and improving customer trust.

Lead the Applied Machine Learning team for Cash App, managing ML engineers, developing AI tools, and fostering collaboration on data-driven insights.

The AI/ML Platform Engineer will design and scale AI and ML infrastructure, collaborating with teams to deploy machine learning models and enhance user experience across Whatnot's marketplace.

Lead technical programs focused on AI/ML products at Capital One, ensuring robust platform development and execution across teams. Drive team growth and promote the TPM discipline while managing complex programs and mitigating risks.

Lead the development of ranking and relevance models, design ML systems for patient-provider matching, and mentor junior team members.

Design and implement ML-powered features, optimize algorithms, and collaborate cross-functionally to elevate the ML platform and enhance user experiences.

As a Senior Software Engineer specializing in Machine Learning, you will design and scale Braze's AI platform, focusing on data architecture and production-level ML implementations.

Lead a team focused on machine learning solutions, overseeing project execution, designing AI/ML infrastructure, and mentoring engineers towards excellence in scalable ML implementations.

As a Software Engineer III, you'll design and maintain machine learning platforms, develop tools for ML workflows, and ensure platform reliability while collaborating with teams to align solutions with business objectives.

As a Software Engineer specializing in Machine Learning, you will design and develop AI/ML product features, collaborating with various teams to create scalable solutions for customers.

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.