Machine Learning Jobs in Santa Clara, CA

The Machine Learning Engineer will develop and implement ML applications in generative AI, addressing integration challenges and evaluating model performance throughout the product lifecycle.

Join Waymo's ML Data Infra team as a Senior Software Engineer to build tools for ML dataset generation, implementing lineage tracking and data compliance while collaborating on scalable data solutions.

Optimize machine learning models for embedded environments, focusing on performance, efficiency, and deployment strategies across various platforms.

Architect, scale, and optimize ML infrastructure. Collaborate with teams to enhance model training and deployment performance, ensuring high availability and effective use of GPU resources.

Develop innovative machine learning algorithms, build production models for various applications, analyze complex datasets, and collaborate on cross-functional projects at NVIDIA.

Develop and maintain machine learning models for robotics applications, collaborate across teams, and contribute to innovative solutions in AI and mobility.

Develop and optimize ML-based recommendation systems, conduct applied research, and collaborate with cross-functional teams to enhance personalization at scale.

Collaborate to develop generative models for autonomous driving, focusing on plan generation and optimizing models through reinforcement learning.

You will build scalable machine learning infrastructure, collaborate with ML researchers, and implement tools for model deployment and evaluation.

Develop and optimize generative models for autonomous planning using reinforcement learning and collaboration across teams. Requires strong programming skills and research experience in generative models.

Design and develop scalable data pipelines and storage systems for machine learning evaluation, and create tools for data annotation and monitoring.

You will create architectural models for ML accelerators, analyze workloads, drive testing correlations, and build scalable performance analysis tools.

Develop and apply machine learning models for sensor fusion, object detection, and tracking. Build datasets and evaluation pipelines for autonomous vehicles.

As a Software Engineer in ML/CV, you'll develop sensor fusion architectures, create datasets, and build pipelines for data mining and model training.

The role involves designing circuits, analyzing silicon data, optimizing algorithms, and building machine learning models for circuit design applications.

Lead and manage the ML Data Infra team to design and build infrastructure for dataset generation, supporting ML model development at Waymo.

As a Machine Learning Intern at Pinterest, you'll work on personalized experiences using ML and AI, conducting research in various areas like image recognition and user modeling, while developing data-driven models.

The Sr. Staff ML Engineer leads development of AI/ML systems for GEICO's virtual assistant platform, collaborating with cross-functional teams to ensure scalability and reliability, while mentoring junior staff and improving engineering practices.

Lead the design and development of ML systems, focusing on large-scale recommendation platforms and user interactions using LLMs, while providing technical guidance across teams.

Design, build, and scale AI/ML platforms and MLOps functionalities. Guide junior engineers and deliver complete solutions throughout the SDLC.

As a Solutions Architect, you'll assist customers with implementing AI and ML solutions, engage directly with clients, and drive technology solutions based on NVIDIA's offerings.

The Senior Engineer will innovate and develop AI/ML solutions using Java to enhance customer experiences and exceed expectations.

As a Senior Staff ML Engineer, you will architect ML systems, lead technical direction, and build recommendation platforms to enhance user interactions at Grindr.

The Staff Machine Learning Engineer will develop and optimize ML models and Generative AI applications, collaborating on architecture and driving solutions while mentoring peers.

The role involves developing software for silicon testing, applying graph and ML techniques, and collaborating with teams on innovative solutions.