Waymo
Waymo

60 Waymo Technical Lead Jobs Hiring Near You

In this role, you will lead key initiatives for modeling weather patterns and their impact on Waymo ... Be an active technical contributor on the team, as well as a technical lead to junior data ...

In this role, you will lead key initiatives for modeling weather patterns and their impact on Waymo ... Be an active technical contributor on the team, as well as a technical lead to junior data ...

Charging Automation Lead

San Francisco, CA · On-site

$152K - $187K/yr

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... Act as the primary technical lead ensuring seamless integration between vehicle mechatronic ...

Lead System Integration: Act as the Master Systems Integrator, managing the installation ... Mission Alignment: A commitment to the Waymo Way, serving as a consistent role model for our ...

... Waymo's ambitious goals. In this role, you will lead key initiatives for measuring the quality and ... Experience as the technical lead for a broad data science area. A demonstrated track record of ...

Head of Technical Services

Mountain View, CA · On-site

$226K - $278K/yr

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... Lead System Integration: Act as the Master Systems Integrator, managing the installation ...

Staff Data Scientist

Mountain View, CA · On-site

$238K - $302K/yr

Experience as the technical lead for a broad data science area. A demonstrated track record of ... Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program ...

In this hybrid role, you will report to Technical Lead Manager You will: * Work with a creative ... Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program ...

In this hybrid role, you will report to Technical Lead Manager You will: * Work with a creative ... 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.

What makes Waymo an attractive place to work?

Waymo is a leading autonomous driving technology company, a subsidiary of Alphabet Inc., and a pioneer in the development of self-driving cars. The company's workplace is characterized by a culture of innovation, collaboration, and experimentation, with opportunities for engineers and researchers to work on cutting-edge projects and contribute to the advancement of autonomous driving technology. Joining Waymo offers the chance to be part of a team that is shaping the future of transportation and mobility, with opportunities for professional growth, learning, and making a meaningful impact on society.
Infographic showing various Technical Lead job openings at Waymo in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 72% Physical, 25% Hybrid, and 3% Remote job distribution.

Technical Lead Manager, Prediction, ML Evaluation

Waymo

San Diego, CA

Full-time

Re-posted 27 days ago


Job description

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