Top Hybrid Machine Learning Engineer Jobs in San Francisco, CA

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.

The Sr. Applied Scientist will develop machine learning models to enhance NBA 2K's gameplay, focusing on matchmaking, user personalization, and in-game economies while collaborating with cross-functional teams.

The Machine Learning Engineer will build and deploy data products, collaborate cross-functionally, improve customer experiences, and mentor others in AI methods.

The role involves enhancing ML models and architectures for pricing and valuation systems. Responsibilities include deploying AI across various data types and collaborating with cross-functional teams to improve model training pipelines.

The Staff Machine Learning Engineer will architect and optimize data infrastructure for multimodal AI models in oncology, focusing on data management and processing pipelines.

As a Senior Machine Learning Engineer, you will develop machine learning models, manage their lifecycle, build infrastructure, and collaborate with teams to enhance our capabilities in various ML areas.

The Senior Lead AI Engineer will develop, optimize, and support AI products, collaborating with teams to implement machine learning solutions transforming customer interactions at Capital One.

As a Staff Machine Learning Engineer, you'll lead AI product development, leveraging LLMs and embeddings, collaborating on technical strategy and coding performance enhancements.

Collaborate on designing recommendation systems, develop ML models, build infrastructure for deployment, conduct A/B tests, and ensure system reliability.