Machine Learning Jobs in Fremont, CA

Develop deep learning models for autonomy applications, implement ML algorithms for self-driving vehicles, and resolve real-world testing issues.

As a Senior Machine Learning Engineer at Roblox, you will develop and implement ML models, optimize architecture for low compute costs, and enhance model performance across various devices.

Design and maintain scalable data pipelines, develop infrastructure for dataset reliability, implement benchmarking systems, and automate quality checks for ML models.

The Machine Learning Intern will assist with data preprocessing, model selection, training, and evaluation while learning new techniques in machine learning.

As an AI/ML Engineer, you will develop and optimize AI solutions for renewable energy assets, collaborating with a skilled team to deploy algorithms in real-world projects.

The Research Engineer will design and implement improvements for member-facing algorithms, focusing on large language models and quality evaluation metrics, leading initiatives in applied research and product development.

Design and develop tools using machine learning and computer graphics to support visual effects workflows, collaborating with multiple teams to enhance creative opportunities.

The ML Engineer will develop ML libraries and services, optimize large language models, and improve model registries for production readiness.

Research Engineer to develop efficient training and serving of large language models. Focus on engineering improvements for deep neural networks.

Develop and improve the Metaflow platform for machine learning applications, collaborating with researchers and ensuring high software design and reliability.

Develop computer vision models and algorithms for perception in robotics. Implement pipelines for AI model training and deployment on robotic platforms.

The Senior ML Research Engineer will develop manipulation algorithms, motion planning models, and enhance robot learning stacks for high-DOF robotic tasks.

Develop technologies for optimizing AI models in autonomous driving. Collaborate on parallel algorithms and influence compute platform architecture.

Architect and design machine learning solutions for autonomous driving, optimizing hardware and software performance across cross-functional teams.

The role involves designing and implementing machine learning models for prediction and motion planning in autonomous vehicles, driving cross-functional collaboration, and leading projects in a high-velocity environment.

The Machine Learning Engineer will design and develop ML models for autonomous vehicles, focusing on prediction and motion planning, while collaborating with various teams to ensure safety and efficiency.

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.