Waymo
Waymo

60 Waymo Program Lead Jobs Hiring Near You

Lead the overarching global social media strategy by owning Waymo's brand expression, scaling our ... Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program ...

... Lead GenAI Transformation. The Waymo Infrastructure & Network Services (WINS) team's mission is to: Provide reliable, resilient, secure digital infrastructure services. Deliver solutions with agility ...

We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous ... Lead collaborative meetings and proactively resolve obstacles to project completion You have: * 8+ ...

In this role, you will lead key initiatives for modeling weather patterns and their impact on Waymo ... Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program ...

Staff Data Scientist

Mountain View, CA · On-site

$238K - $302K/yr

... Waymo's ambitious goals. In this role, you will lead key initiatives for measuring the quality and ... Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program ...

As the Tech Lead for the software-fault release evaluation team, lead the development of the end-to ... Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program ...

Showing results 41-60

Waymo Jobs Information

What is it like to work at Waymo?

Waymo is a technology company that values innovation, collaboration, and safety, fostering an environment where employees can work together to develop and implement autonomous driving solutions.

The company's structure is organized into various teams, including software engineering, hardware development, and operations, allowing employees to specialize in their areas of expertise and contribute to the development of self-driving cars. Waymo's work environment is designed to encourage creativity and experimentation, with access to cutting-edge technology and resources.

Working at Waymo may appeal to individuals who are passionate about transforming the transportation industry and have a strong interest in artificial intelligence, machine learning, and software development, as the company offers opportunities to work on complex technical challenges and make a meaningful impact on society.
Infographic showing various Program Lead job openings at Waymo in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 97% Physical, and 3% Remote job distribution.
Technical Lead Manager, Prediction, ML Evaluation

Technical Lead Manager, Prediction, ML Evaluation

Waymo

Mountain View, CA • On-site

$251K - $310K/yr

Full-time

Posted 13 days ago


Job description

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.
The Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver's behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently.
We have an exciting opportunity for a Staff Technical Lead Manager to lead our ML Evaluation team. In this role, you will define the strategic vision for our evaluation platforms, scaling the critical infrastructure and metrics required, and partner closely with the modeling teams to rigorously validate our next-generation deep neural networks and accelerate ML developer velocity across PrePlan.
You will:
  • Influence the strategic direction of foundational infrastructure and evaluation platforms to robustly support next-generation ML model evaluation use cases
  • Collaborate cross-functionally with ML engineers, data scientists, and infrastructure teams to identify, define, and surface critical signals on model, component, and system-level performance
  • Leverage and scale evaluation and infrastructure platforms to significantly enhance the ML developer experience, enabling faster iteration through earlier, more reliable, and trusted model evaluation
  • Manage and mentor a focused team of engineers, aligning their career growth and aspirations with critical organizational needs
  • Drive best practices and leverage deep technical awareness of the Alphabet ML stack (e.g., TensorFlow, JAX, Flax, Apache Beam) to optimize evaluation workflows
  • Stay at the forefront of emerging technologies, industry trends, and research in ML evaluation methodologies and advanced metrics design

You have:
  • M.S. in Computer Science, Mathematics, or equivalent industry experience in Robotics or large-scale ML systems with critical evaluation needs
  • 5+ years of experience building and maintaining large-scale distributed infrastructure, ML inference systems, or evaluation platforms, including 3+ years of engineering management experience
  • Strong coding and testing proficiency, specifically in Python and C++
  • Strong foundational knowledge of model evaluation and core data science principles (e.g., confidence intervals, outlier identification, curve fitting, and causality analysis)
  • Familiarity with large-scale ML deployment and orchestration tools (e.g., TF Serving, TorchServe, Kubeflow, SageMaker Pipelines, or Vertex AI Pipelines)
  • Understanding of machine learning fundamentals and experience with popular ML frameworks such as JAX, PyTorch, or TensorFlow

We prefer:
  • Experience developing and maintaining evaluation pipelines for ML models
  • Experience deploying and supporting machine learning models for computer vision, natural language processing, robotics/motion planning, or recommendation systems
  • Experience supporting a small team of MLEs developing high-capacity, production-grade models and components
  • Strong understanding of metrics computation and regression detection at scale

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.
Salary Range
$251,000-$310,000 USD