Machine Learning Jobs in Oakland, CA

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.

Work on designing and optimizing AI models, collaborate on multimodal data systems, contribute to research, and enhance model performance across various platforms.

Manage and lead a team in developing machine learning algorithms for driving models. Oversee strategy, technical guidance, performance monitoring, and resource allocation for Offline ML models.

The Machine Learning Engineer will scale core infrastructure, manage data pipelines and model evaluation, and improve benchmarking systems. Collaborate with teams to enhance AI evaluation methodologies.

Join Spellbrush as a 3D Game Programmer to develop narrative and puzzle games in Unity, focusing on innovative AI-driven experiences, particularly in anime aesthetics.

The Principal Data Scientist will analyze data, develop predictive models, and apply AI/ML to enhance healthcare quality and outcomes.

Lead and manage a team to enhance Salesforce CPQ through AI integration, overseeing development, maintenance, and alignment with sales operations.

The Senior Data Scientist will develop and enhance predictive models using data from various sources to improve healthcare outcomes and operational efficiency. They will analyze data, collaborate with teams, and utilize emerging AI technologies for healthcare applications.

You will lead AI diligence services, manage client relationships, develop playbooks, and ensure high-quality deliverables. You'll support sales and establish a strong network in private equity.

Lead the development of Unify's product offerings by launching new workflows, defining success metrics, and collaborating with cross-functional teams.

As an AI Engineer, you will enhance AI capabilities across Generative AI and Search, leading projects and innovating product experiences. The role involves overseeing AI infrastructure, leading development from ideation to evaluation, and adapting to user needs in a dynamic environment.

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

As a Strategic Account Executive, you'll drive AI deployment in top digital native companies, managing complex sales cycles and building relationships with key stakeholders to maximize revenue and strategic value.

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

As a Product Manager, you will lead the end-to-end product development for AI-driven banking solutions, ensuring user-centric design and strategic innovation while collaborating with cross-functional teams.

The Scientific Program Manager will oversee the evaluation of protein design platforms, translate ML breakthroughs into experimental validations, and manage cross-functional teams and partnerships while driving research and development.

Accelerate NodeZero AI Cybersecurity roadmap, define product strategy for AI capabilities, collaborate with teams to enhance product features, and analyze market opportunities.

The Sr. Data Engineer will develop and manage data pipeline architectures, analyze data from various sources, build analytics tools, and support business users with actionable insights.

The Associate Director, IS Market Access Solutions leads digital strategies for Market Access initiatives, shaping a digital roadmap and integrating technologies to enhance patient access and provider engagement.

The Account Executive will drive new business and expand existing customer relationships by leveraging expertise in technical solutions and enterprise sales strategies. Responsibilities include prospecting, developing, and closing sales opportunities, achieving sales quotas, and collaborating with cross-functional teams.

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

The Data Science Intern will work with the Data team to solve business problems using data insights, machine learning, and statistical methodologies.

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 Data Scientist, you will use data science methodologies to extract insights, collaborate with other teams, and manage projects from start to finish.