Senior Manager, AI Products & Copilot Solutions
New
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Waymo
NewLead an applied ML team of 5-10 engineers building evaluation frameworks and AI-powered tools to assess the Waymo Driver simulator's fidelity and safety. You'll architect ML-driven metrics, design evaluation systems for generative world models, and translate cutting-edge AI research into production tooling used across the company. Requires 7+ years deploying ML systems in production, 3+ years directly managing engineering teams, and strong proficiency in Python or C++, PyTorch, JAX, or TensorFlow. Remote-eligible. $251,000–$310,000.
Written from this posting by Neural Jobs AI. The full description is below.
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Waymo’s simulator is one of the most complex virtual environments ever built, blending deterministic logic, physical dynamics, and state-of-the-art Generative AI to create a training ground for the Waymo Driver. Within this cutting-edge ecosystem, the Simulator Evaluation team faces the ultimate data challenge: How do you mathematically prove that a virtual world is "real"?
While our team programmatically builds the metrics, pipelines, and ML systems that grade this hybrid environment, your challenge as a Staff Tech Lead Manager is to scale both this technology and the highly specialized team executing this vision. In this role, you will bridge technical vision and execution by translating cutting-edge generative AI advancements into production-ready evaluation tools used by engineering teams across Waymo to ensure the safety and performance of our autonomous fleet, while fostering an inclusive engineering culture of extreme technical rigor, rapid experimentation, and robust software quality.
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
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Waymo develops autonomous-driving technology and operates fully autonomous ride-hailing through Waymo One. Its Waymo Driver combines software, maps, cameras, lidar, radar, onboard computing, simulation, and operational systems to navigate public roads without a human driver. The company deploys the technology through purpose-selected vehicle platforms and partnerships, with safety validation central to its development process. Waymo originated as Google's self-driving car project and now operates as an Alphabet company focused on autonomous mobility.
209K – 269K
Our estimate — this employer did not publish a salaryOur estimate, not the employer’s. Worked out from the middle half of 29 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.
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