Machine Learning Jobs in San Jose, CA

The Senior Digital Twin ML Engineer will develop digital twins of robotic and experimental systems, focusing on model-identification pipelines, calibration routines, and integrating with simulation and control systems.

The role involves building and operating ML infrastructure for large-scale training, managing data pipelines, and supporting model deployment while collaborating with various teams.

Collaborate on ML projects, contribute to AI product features, build prototypes, and improve models based on real-world data. Seek to improve user experiences through ML techniques.

The Principal Compiler Engineer will lead compiler engineering, optimizing ML model performance and coordinating with development teams to innovate compiler infrastructure.

As an Applied Scientist (ML), you will develop ML solutions, analyze existing systems, and create impactful ML prototypes and evaluation datasets.

Design and implement machine learning models to improve Risk and Fraud detection systems. Lead technical strategy and partner with operations to address rapidly evolving challenges.