Machine Learning Jobs in San Jose, CA

Develop and validate advanced driver assistance and autonomous driving systems, ensuring compliance with regulatory requirements while mentoring junior engineers.

The Product Manager will lead the roadmap for the Vulcan robotic weeding product, collaborating with engineering teams and managing the product lifecycle from development to launch.

The Senior Machine Learning Engineer will develop advanced fraud prediction models, utilizing anomaly detection and supervised learning techniques to enhance fraud prevention efforts and collaborate with cross-functional teams to integrate these models into the organization's systems.

The role involves managing real-time information, attending industry events, and synthesizing complex data into clear formats while promoting knowledge management within the organization.

The Senior Industrial Engineer will enhance supply chain performance, drive cycle time improvements, develop algorithms for optimization, and collaborate with manufacturing teams.

As a Senior Associate in Business Operations, you will champion data-driven decisions and lead A/B testing to inform growth strategies, collaborating across teams to optimize user acquisition and operational efficiency.

Seeking a Distinguished Technologist to lead AI architecture and design for HPE's Private Cloud AI offerings, focusing on applied AI, agentic AI, and generative AI. Responsibilities include technical leadership, implementation, and mentoring engineers while optimizing AI systems for cloud-based solutions.

The Senior Neural Graphics Scientist will define NVIDIA's Neural Graphics strategy, pioneer neural shading techniques, connect research to products, drive AI innovations, and influence hardware design.

Lead the strategy and development of AI-driven autonomous shopping experiences, collaborating with teams to enhance user engagement through intelligent digital agents.

Lead the strategy and development of AI-driven shopping experiences, focusing on agentic AI and automation in commerce. Drive innovation and collaborate across teams to enhance user experiences and growth opportunities.

Serve as primary legal partner for AI and software teams, ensuring compliance with privacy laws and advising on product development, data governance, and legal frameworks.

Drive yield improvement and process optimization for advanced packaging by building scalable data pipelines, integrating ATE/DFT/fab data, performing statistical and ML-based yield analytics, enabling self-serve analytics, and delivering reports and recommendations across cross-functional teams and external partners.

Design and develop AI/ML solutions, focusing on scalable software and user experience, while collaborating across teams to integrate generative AI technologies.

You will design and implement high-performance backend services and machine learning pipelines for real-time AI interactions in a fast-paced environment.

Interns will work on machine learning solutions for autonomous driving, contributing to real-world projects in perception, prediction, and planning.

Drive planning and execution of multiple software and ML workstreams, manage cross-functional dependencies, gather requirements, track schedules, support development-to-deployment, and improve processes to deliver customer product releases.

The role involves designing and deploying strategies for congestion revenue rights, applying quantitative methods, and developing machine learning models.

Design and implement AI-driven optimizations for software development workflows, leveraging LLMs and Agentic AI to enhance productivity and reliability.

Design and develop software solutions for semiconductor equipment, lead projects, troubleshoot software issues, and interact with customers for requirement analysis.

The Software Intern at Cadence will work on research and development using machine learning technologies for on-chip parasitic modeling in a team environment.

Design and develop Multi-Physics System Analysis software, debug errors, implement features, and write tests.

The role involves creating strategies to leverage AI for sustainability, building partnerships, drafting communication, and synthesizing complex data into accessible content for various audiences.

The Senior Lead Machine Learning Engineer will design, develop, and implement machine learning systems, collaborating with teams to solve business problems using machine learning applications.

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 Sr Product Manager will drive product strategy and development for PayPal's P2P payments, focusing on user experience, data analysis, and cross-functional collaboration to optimize product performance and customer satisfaction.