Top Senior Machine Learning Jobs in San Francisco Bay Area, CA

In this role, you will develop an AI/ML strategy to enhance customer support at Canva, lead the creation of natural language systems, collaborate with engineering teams, and leverage machine learning capabilities across the organization.

The Sr Manager, Machine Learning Platform will lead the Model Engineering team at Disney, focusing on building a state-of-the-art ML runtime environment. Responsibilities include mentoring the team, providing technical direction, and partnering with stakeholders for scalable ML solutions while maintaining a culture of innovation and collaboration.

As a Senior Software Engineer on the ML Platform team, you'll build and maintain software applications for machine learning model deployment and process automation. The role includes developing tooling and infrastructure for research scientists, enabling rapid model experimentation, and ensuring automated, repeatable processes for model training and deployment.

Responsible for developing state-of-the-art machine learning projects for ads engagement modeling, designing features, building large-scale ML models, inferring user interests, and collaborating with product and sales teams on new ad products.

The Senior Machine Learning Engineer will work on the Perception and Prediction team to enhance autonomous vehicle capabilities. Responsibilities include defining team direction, architecting solutions, prototyping, deploying solutions, and collaborating with team members while mentoring junior engineers in a cutting-edge environment.

The Staff Machine Learning Engineer will lead efforts in developing and optimizing machine learning models for content delivery and user engagement at Reddit. Responsibilities include designing algorithms, managing technical roadmaps, collaborating with cross-functional teams, and mentoring junior engineers. The role requires a deep understanding of recommendation systems and large-scale machine learning infrastructure.

As a Senior Data Scientist at Lyft, you will develop mathematical models and machine learning algorithms to optimize rideshare supply and demand. Collaborating with engineers and product managers, you'll conduct data analysis, implement production code, and monitor product health, all while driving machine learning initiatives within the team.