Machine Learning Jobs in Sunnyvale, CA

The AI Enterprise Engineer will work with enterprise customers to define model specifications, analyze agent behavior, and benchmark models using Bespoke Labs tools, requiring a strong foundation in AI/ML and production deployment.

The Solutions Engineer will engage with stakeholders to design AI-powered engineering solutions, bridging business needs and technical execution while guiding customers through AI integration.

Lead design, build, and operate scalable observability systems for distributed cloud and on-vehicle environments. Contribute code and reviews, create technical designs, build tooling to collect observability signals, run PoCs for new tools, partner with engineering teams, define SLIs/SLOs, guide roadmap decisions, and mentor engineers to improve developer productivity and reliability.

As a Senior Machine Learning Engineer, you'll design scalable AI/ML infrastructure, optimize model training performance, and collaborate with teams to implement advanced AI solutions.

Lead ML engineering efforts for behavior planning in autonomous vehicles, develop complex models, mentor teams, and advance state-of-the-art technology.

Lead and grow a team to design and deliver end-to-end AI hardware/software systems and AI GPU platforms. Define product strategy and multigeneration roadmaps, align cross-functional stakeholders, translate customer insights into requirements, ensure software enablement, and drive execution and innovation across silicon, systems, manufacturing, and go-to-market.

Lead and grow a team of Technical Program Managers who run customer data projects end-to-end: staffing cadence, project setup, throughput and margin tracking, AR/billing hygiene, Airtable as system of record, onboarding TPMs, operational playbooks, and escalation for delivery risk. Serve as a player-coach partnering with Deployment Leads, FDE Manager, and GMs to ensure projects are staffed and delivered reliably.

Lead research and development of end-to-end ML models for autonomous driving, experiment with large-scale datasets and architectures, collaborate with infra and autonomy teams, optimize models for deployment, and deploy solutions to on-road vehicles.

The Founding Product Director will define the product vision and strategy for IrisGo, lead app development, and act as a partner to OEMs, while fostering an open-source ecosystem for AI PCs.

Develop algorithms for RTL synthesis and digital logic optimization, utilizing machine learning and EDA techniques. Collaborate with design teams to implement solutions.

This role oversees cross-organizational programs, ensuring operational resilience during market expansions, and driving program outcomes through effective management and deployment strategies.

Lead the Vehicle Understanding team, managing production modules related to vehicle classification, states, and intents for Waymo's autonomous systems.

The Senior Machine Learning Engineer will develop and enhance Moveworks' NLU and agentic AI capabilities, deliver production-quality code, and solve complex engineering challenges in conversational AI.

Partner with portfolio and risk managers to develop quantitative risk models, analyze U.S. power markets, improve backtesting and simulation infrastructure, attribute performance, track P&L and exposures, and deliver actionable insights to scale the trading and risk platform.

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

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 role involves conducting research and optimizing machine learning systems while collaborating with technical staff to enhance product performance.

As a Research Scientist Intern, you will support the technical team in developing AI product pipelines, assist with machine learning models, writing research papers, and analyze data for model improvement.

As a Research Scientist and Engineer at Collinear, you will create AI simulation environments, develop evaluation systems, and enhance real-world model performance through rigorous data-driven approaches.

Lead Collinear's research direction across evaluation, simulation, and post-training ML methods while managing a high-caliber research team. Influence customer outcomes through applied research.

As a Research/ML Engineer, you will translate cutting-edge AI research into product solutions, develop safety and reliability systems, and collaborate with technical teams.

The Research Scientist will lead hands-on research in Conversational AI, advocate for new AI applications, mentor junior researchers, and contribute to publications.

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

Lead efforts to improve operational efficiency at Waymo by leveraging advanced robotics and machine learning for depot operations.