Top Machine Learning Jobs in Santa Cruz, CA

The Senior Machine Learning Engineer will design advanced AI/ML solutions, build product features, and collaborate in an Agile environment using cutting-edge technologies.

Lead the design and delivery of ML infrastructure and models, mentor engineers, and drive innovation in AI-powered intelligence at Upwork.

As an Associate Technical Architect in Machine Learning, you will design and develop advanced ML models on AWS, ensuring scalability and reliability while collaborating with cross-functional teams.

Design and implement scalable machine learning pipelines, mentor junior team members, ensure deployment standards, build CI/CD pipelines, and establish best practices for ML systems.

As a Machine Learning Engineer at Netflix, you will forecast traffic, optimize infrastructure, and manage ML models, supporting engineering teams for improved performance and reliability.

The Forward Deployed ML Engineer will integrate ML models into clinical software, support customers with implementation, and collaborate across teams for optimal solutions in medical imaging.

Join NVIDIA as an Applied Machine Learning Engineer to work on circuit design projects, data analysis, and model optimization with a focus on AI computing.

Drive cross-team engineering efforts to improve user experience on Homefeed by implementing large-scale machine learning systems and enhancing data processing efficiency.

As a Research Engineer for Applied ML/AI, you'll bridge research and production, manage training and fine-tuning pipelines, optimize multimodal features, and ensure high-performance model integration in healthcare.

Lead the design and deployment of machine learning models for personalized healthcare, mentor engineers, and collaborate across teams to improve ML infrastructure.