Machine Learning Jobs in San Jose, CA

We are seeking a Principal Software Engineer to leverage backend Java skills for our cloud-based Data Loss Prevention service, enhancing cybersecurity through advanced data loss prevention techniques and machine learning integration.

Lead and manage the ML Production Engineering team, optimizing ML Ops and Dev Ops, collaborating on machine learning pipelines and seamless application integration.

Develop infrastructure and support foundation models for robotics, including hardware platforms, APIs for inference, evaluation metrics, and data pipelines. Collaborate with researchers to run experiments and publish findings.

Lead and grow a team focused on training data for Generative AI, manage data pipelines, collaborate with researchers, and ensure ethical AI practices.

Lead and develop a team of ML engineers and data scientists, guiding the creation of ML solutions with advanced techniques in AI, focusing on user-friendly systems.

The Machine Learning Engineer will develop scalable algorithms for video understanding and generation, implement large-scale foundation models, and collaborate with researchers to bring innovations to production.

Lead the development of machine learning pipelines and systems for Large Language Models in healthcare, ensuring compliance and optimizing performance.

The Machine Learning Scientist will develop ML models for smart gameplay features, collaborate across teams, and optimize data pipelines for gameplay adaptation.

Develop and implement advanced machine learning models for autonomous driving, focusing on deep learning, perception, and real-time performance optimization.

The Senior Staff Machine Learning Engineer will lead the Fraud Risk Modeling team by architecting scalable ML systems, driving innovation, and collaborating with cross-functional teams to enhance fraud detection capabilities.

As a Senior Site Reliability Engineer, you will manage HPC cluster operations, deploy infrastructure-as-code solutions, support research teams, and develop automation tools.

The role involves implementing features for ML data processing, developing workflows for model training and deployment, and supporting ML pipeline operations.

As a Staff ML Engineer focusing on perception and computer vision at Waymo, you'll research and implement state-of-the-art models, lead algorithm development, optimize models for real-time deployment, and mentor junior engineers.

Lead the strategy and development of state-of-the-art end-to-end autonomous driving research, optimizing ML models and collaborating across teams to influence technical decisions.

As an ML Services Engineer, you will design, deploy, and support AI-driven cloud services, optimize ML pipelines, and collaborate across teams for product development.

Lead the development of generative AI services and APIs at Adobe. Architect ML workflows, optimize inference pipelines, and drive cross-functional collaboration.

Lead the development of machine learning technology for Ads Ranking, improving ad delivery and user experience through collaboration with teams and product managers.

Lead a team of machine learning engineers to develop and manage an ML platform for AI-powered enterprise search applications, ensuring performance and efficiency.

Lead a team managing AI-powered search applications by enhancing machine learning models, project management, and fostering a collaborative culture.

As a Senior Machine Learning Engineer, you'll design and enhance Moveworks' conversational AI platform, ensuring reliability and performance while collaborating with various teams to deliver solutions on time.

Lead and mentor a team to develop and optimize an ML infrastructure platform, focusing on performance, scalability, and architectural strategy for AI-driven services.

Develop and deploy advanced machine learning frameworks and cloud pipelines for autonomous vehicles, enhance model performance, and collaborate across teams.

Develop advanced sensor fusion algorithms for autonomous driving, lead ML model R&D, and collaborate with teams to enhance vehicle localization capabilities.

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.

As a Staff ML Software Engineer, you will lead the development and deployment of machine learning applications, leveraging your expertise to drive software architecture decisions, maintain cloud infrastructure, and collaborate within a small, agile team focused on geospatial challenges related to climate change.