Machine Learning Jobs in Santa Clara, CA

The Senior Director of Applied AI Engineering will lead AI application development in drug development, focusing on generative AI and ML integration across departments.

Lead the design and implementation of AI-driven test automation frameworks, collaborate with cross-functional teams, and mentor other engineers in quality engineering.

As a Technical Program Manager, you'll lead feature launches for the Gemini App by managing dependencies, driving execution, and fostering team collaboration.

The role involves research and development of machine learning optimization, content creation, recommendation systems, and real-time moderation at Roblox.

Lead a team of ML engineers focusing on ranking, retrieval, and multimodal content understanding, defining technical roadmaps and ensuring system scalability.

The Sr. Machine Learning Engineer at Zscaler will build and implement AI features, design resilient microservices, and ensure operational excellence in digital experiences.

The New Grad Research Engineer will support AI research for autonomous systems and closed-loop simulation, collaborating on model development and best practices.

The Research Engineer will develop AI algorithms for autonomous systems, collaborating with teams on end-to-end solutions and data-driven models.

As a Research Engineer, you conduct pioneering research in autonomous systems and develop models using large-scale data and advanced simulators, collaborating with scientists and contributing to high-quality publications.

As a Research Engineer, you will conduct research in robotics and AI, work with hardware and software for robotic systems, and collaborate on research publications.

Conduct research on autonomous systems, collaborate with scientists on publications, and improve robotic models using large-scale data.

Lead product marketing for MLOps solutions, drive positioning, messaging, and campaigns, collaborate with cross-functional teams, and create collateral for brand awareness and demand generation.

Develop infrastructure and tools to enhance Generative AI technologies, collaborate with cross-functional teams, and mentor junior team members.

Lead the development of FPGA design platform Quartus, delivering front-end EDA tools and enhancing FPGA design through AI technologies. Manage a large engineering team and promote innovation and technical excellence.

The role involves research on training models for web indexing. You'll apply your deep knowledge of search and transformer models in a product context.

The Data Analyst will improve AI technologies by testing products, performing data analysis, and ensuring quality assurance of natural language datasets.

The EDA/IP Sales Manager will drive sales efforts for proteanTecs' IP technology and build customer relationships while coordinating with internal teams.

The Sales Engineer role involves assisting the sales team by providing technical expertise, building solutions, and addressing customer challenges with Nanonets' AI/ML product.

As a Machine Learning Intern, you will lead projects, analyze data, build models, and solve complex problems using machine learning and AI techniques.

Research scientist specializing in robotics and AI, focusing on developing algorithms, conducting research, and implementing learning-based manipulation and control methods.

Lead a team optimizing backend systems for Netflix's Member Experience Pages. Focus on performance, scalability, architecture, and team growth while collaborating with various stakeholders.

Lead the development of advanced data science models, collaborating with stakeholders, ensuring data quality, and mentoring junior scientists.

Develop efficient ML solutions for perception including sensor fusion, obstacle detection, scene understanding, and robust onboard systems.

The role focuses on researching and developing AI-based methodologies and simulation tools for autonomous vehicle algorithms, ensuring effective evaluation and scenario generation.

The Senior Engineer will work on Java and AI/ML projects, driving innovative solutions to enhance customer experiences and operational efficiency.