Machine Learning Jobs in Sunnyvale, CA

Lead strategy and development for ADAS products, driving product vision, requirements, and metrics while collaborating across teams. Communicate updates to leadership and foster innovation.

The Senior AI/ML Engineer will design and implement Vision-Language and Vision-Language-Action models for autonomous vehicles, focusing on model optimization and collaboration with engineering teams while contributing to research and mentoring.

The Staff Software Engineer will lead technical projects on the Secondary Driving System, focusing on software architecture, multi-sensor perception, and integration, while mentoring the engineering team.

Lead the development of innovative AI solutions, guide teams through complex challenges, and collaborate with diverse stakeholders to enhance operational effectiveness and achieve strategic objectives.

Manage AI engineering teams and client relationships, drive project deliverables, mentor staff, and uphold quality standards while leveraging advanced technologies.

The role involves managing client needs through technology solutions, mentoring team members, analyzing complex problems, and using AI/GenAI to enhance productivity and client relationships.

The Senior AI/ML Capacity Engineer will develop capacity planning models, design analytical tools, and collaborate with teams to optimize costs and efficiencies.

Lead design and deployment of scalable ML platforms and tools, manage complex technical projects, mentor junior engineers, and collaborate across teams to enhance autonomous driving systems.

As a Senior AI/ML Engineer, you'll enhance developer productivity by leading CI solutions, mentoring engineers, and implementing scalable systems.

Build and scale a generative conversational platform: design scalable APIs, optimize the dialog engine for low latency and minimal memory, implement logging/tracing/metrics, enable domain-specific and multilingual conversations, create product infrastructure and tooling for engineers, and collaborate with ML, product, and support teams to improve performance and features.

Design and implement Agentic AI and generative-AI product features for conversational and web interfaces. Tech-lead end-to-end projects, collaborate with PM/UX/GTM and ML experts, expand product reach globally, and iterate on frameworks to deliver scalable, high-quality enterprise AI experiences.

In this role, you will lead AI personalization initiatives, develop AI/ML models for user experience, collaborate across teams, and ensure rigorous development practices.

Lead design and implementation of agentic conversational AI product features, collaborate with ML experts, PM, UX and GTM to scope and deliver scalable web and conversational UI solutions, expand product to new customers and domains, and mentor engineers while advancing the Agentic AI framework.

Build and scale a generative conversational AI platform: design APIs, optimize dialog engine for low-latency and low-memory multilingual enterprise usage, implement logging/tracing/metrics, create tooling and interfaces for customization, and collaborate with ML, product, and support teams to deliver robust, scalable solutions.

Lead design and implementation of agentic, conversational AI product features; collaborate with ML/GAI experts, PM, UX, and GTM to scope and deliver scalable web and chat experiences; expand product to new customers and markets; identify patterns to advance the Agentic AI framework; tech lead end-to-end projects and mentor engineers.

The role involves designing and implementing AI/ML solutions, leading teams, mentoring staff, and managing project delivery while ensuring client satisfaction.

Design, build, and operate production ML decision systems to detect and prevent payment fraud, account takeover, scams, and other abuse. Integrate diverse signals into low-latency serving and batch scoring, own feature pipelines and model lifecycle, develop AI-assisted triage and feedback loops, and partner cross-functionally to balance fraud reduction with legitimate customer access.

Design, build, and operate production ML systems that generate trusted signals for ranking, retrieval, recommendations, propensity/churn/LTV, and next-best-action decisioning. Define signal/data contracts, own feature and candidate generation through serving, experimentation, monitoring, and feedback loops, and evaluate long-term business impact, trust, fairness, and compliance. Partner across product, data, modeling, risk, and compliance and apply AI/agents to accelerate engineering and operations.

The Machine Learning Engineer will improve enterprise search systems using traditional machine learning and generative AI, collaborating with various teams to enhance the platform's capabilities.

Build, optimize, and scale end-to-end ML infrastructure for training, evaluating, and serving large language models. Implement distributed training and low-latency inference pipelines, abstractions to automate ML workflows, collaborate cross-functionally, and drive best practices for ML and data engineering to support production LLMs at scale.

The Director of Developer Relations leads the strategy for engaging developers around CoreWeave's AI SaaS offerings, creating content, fostering community, and improving the onboarding experience.

Design and implement scalable ML infrastructure solutions, mentor junior engineers, own technical projects, and collaborate across teams to solve complex AI/ML problems.

Design and build end-to-end software products for autonomous vehicles, leading projects in full-stack development, cloud infrastructure, and machine learning pipelines while mentoring junior engineers.

The role involves designing and optimizing ML infrastructure for large language models, collaborating with teams, and implementing best practices in ML and data engineering.

The Principal AI/ML Engineer will lead the AV ML Infra team at GM, focusing on developing scalable ML infrastructure and guiding cross-functional collaboration while driving technical projects from inception to completion.