Machine Learning Jobs in Fremont, CA

The Machine Learning Engineer will develop ML models for quality assurance in additive manufacturing, collaborate with engineering teams, and deploy solutions in production.

The role focuses on MLOps for semiconductor laser design, involving model development, validation, deployment, and collaboration with engineering teams. Candidates should have AI/ML expertise and a background in photonics or semiconductor manufacturing.

Design and implement machine learning algorithms for robotic manipulation, focusing on RL and IL. Collaborate across disciplines to ensure integration and successful deployment.

The AI/ML Engineer will design and deploy advanced AI models, optimize performance, and directly engage with government officials to transform industries through innovative AI solutions.

The Machine Learning Engineer will design and implement advanced ML models for energy systems, collaborating with R&D teams to tackle challenges in battery technology.

Responsible for designing experiments to evaluate AI models, developing evaluation methodologies, analyzing performance data, and collaborating on production insights.

The Machine Learning Scientist will lead open-source research, design experiments, develop novel methodologies, and analyze large-scale data to advance AI model evaluation and transparency.

Design and develop scalable, high-performance data and API infrastructure for real-time processing. Mentor engineers and collaborate with teams to enhance AI model evaluations.