Machine Learning Jobs in Sunnyvale, CA

Develop and apply deep learning and data analysis techniques to create scalable vehicle simulation models, collaborating with teams to advance autonomous technology.

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.

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

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.

The ML Compiler Engineer will enhance performance of neural networks, work with hardware architects, and implement compiler support for a custom architecture.

As a Machine Learning Intern, you will develop and deploy models for autonomous driving using AI techniques. Responsibilities include experimenting with ML systems, collaborating with teams on performance analysis, and building trajectories for safe vehicle operation.

Lead AI/ML software projects, coordinating engineers, making technical decisions, and enhancing systems. Focus on AI solutions and Full Stack development with front-end and backend technologies.

Lead AI/ML software projects, coordinate with engineers, improve processes, and develop AI applications. Collaborate with cross-functional teams for innovative solutions.

The Machine Learning Engineer will develop and deploy ML solutions for safety, manage the ML lifecycle, and collaborate across teams for user safety.

As a Lead Data Scientist, you will develop and manage predictive algorithms focusing on supply chain optimization using machine learning and operations research, mentoring data scientists and collaborating across teams.

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

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

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

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 Staff Software Engineer will architect and implement backend systems for LLM applications in healthcare, focusing on APIs, data pipelines, and compliance.

Develop and optimize machine learning models for Adobe's Document Cloud, implementing ML-Ops practices and collaborating with research teams.

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.

Design, architect, and deploy AI systems. Develop production-grade software, lead technical initiatives, and ensure responsible AI development while mentoring teams in a fast-paced environment.

The role involves developing ML technologies using large language models, optimizing workflows, and collaborating with cross-functional teams to deliver impactful solutions.

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 role involves contributing to product strategy, implementing architectural roadmaps, enhancing customer experience, and managing analytics and profitability. An individual contributor role focused on cross-functional collaboration and success metrics.

Lead the development of machine learning technologies within Ads Ranking, enhance user experience, and improve engineering systems in a collaborative environment.

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