Machine Learning Jobs in Santa Clara, CA

Lead the product vision for innovative AI technologies, translating research into marketable products, and collaborating with cross-functional teams.

Design, develop, and maintain machine-control and microservice-based software in Java. Collaborate with systems and application teams to gather requirements, implement scalable microservices, troubleshoot and test software, and support cross-functional delivery in a fast-paced semiconductor environment.

The Applied Scientist will transform raw data into actionable insights by developing machine learning models for personalization, ranking, and optimization to enhance conversion and revenue. This role emphasizes building production systems, frameworks for experimentation, and communication with team members regarding technical challenges.

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.

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.

Lead the design and advancement of AI platform infrastructure, focusing on distributed training, efficiency, and optimization of ML models. Collaborate with teams and guide architectural decisions.

You will own the compilation stack transforming AI models into optimized inference for autonomous driving. This includes developing tools and techniques for model export and optimizing performance while ensuring safety and reliability.

The Senior Compiler Engineer will develop a model compilation toolchain for deploying optimized machine learning models in autonomous vehicles, focusing on performance engineering and collaboration with cross-functional teams.

The role involves designing, implementing, and optimizing CUDA-based kernels for autonomous vehicles, ensuring high-performance ML inference for AV software.

The Senior ML/AI Engineer will enhance developer productivity for AV engineers at GM by designing, implementing scalable, reliable systems and mentoring team members.

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.

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.

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.

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.