Machine Learning Jobs in Santa Clara, CA

Lead the architecture and deployment of LLM-powered conversational chatbot systems, optimizing performance and ensuring scalability in a crypto environment.

The Lead Product Manager, AI will identify and build AI-powered products, drive growth and customer experience, and collaborate with cross-functional teams.

The role involves incorporating machine learning techniques into sensor simulation, working with teams to develop effective models for Lidar, Radar, and Camera systems.

The Enterprise Account Executive will acquire new customers and expand relationships with Fortune 1000 accounts, managing the full sales cycle.

As a Deep Learning Architect, you'll optimize performance for inference servers, benchmark LLMs, develop profiling tools, and collaborate on AI software projects.

The Manager, Organic Community & Channel Strategy will develop Jerry's organic presence on platforms like Reddit and TikTok, creating engagement strategies while building trusted communities and measuring effectiveness.

The Senior Associate, Business Operations will lead data-driven initiatives, partner with teams to drive user acquisition, execute A/B tests, and optimize processes for efficiency focusing on strategic growth.

The Community Manager will grow Jerry's organic presence on platforms like Reddit and TikTok, develop community engagement strategies, and measure performance metrics. Responsibilities include creating a playbook for community interaction and fostering authentic user engagement.

As an ML Infrastructure Engineer, design backend components, enhance platform performance, and drive system improvements while collaborating across teams.

Lead a team of developers in creating cloud-based solutions using modern technologies, while mentoring peers and collaborating with product managers.

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.

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.

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.

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.