Machine Learning Jobs in Santa Clara, CA

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.

As a new engineer at Cerebras, you'll learn their platforms, focusing on programming the Wafer Scale Engine, kernel development, and system performance modeling.

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.

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

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.

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.

Lead the Trucking Autonomy team to develop behavior systems for L4 autonomous trucks. Oversee strategy, architecture, and team management.

Develop high-performance planning modules for autonomous vehicles, collaborate with customers, and apply modern software practices in a team-oriented environment.

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.

Design and build core backend services for a cloud-agnostic ML compute platform. Integrate with GPU hardware and orchestration, improve performance, scalability, reliability, and drive large cross-team initiatives to support ML training and deployment.

Lead product development initiatives focused on cybersecurity, defining product requirements, collaborating with engineering teams, and driving adoption of security products.

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.

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

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

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

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.