# Staff Machine Learning Engineer, TLM , Labeling Automation at Waymo

Waymo is hiring a Staff Machine Learning Engineer, TLM , Labeling Automation in Mountain View, United States. It pays $251k-$310k a year and Level rates it Builds AI ●●●●; you can [apply on Level](https://jobsbylevel.com/go/1fa39ecd-e61a-4123-8815-4dcddcb02df7?utm_medium=ai-agent).

AI Level 4, AI centrality 98 out of 100. Mountain View, CA, USA.

## Details

- Company: [Waymo](https://jobsbylevel.com/companies/waymo)
- AI level: AI Level 4 (score 98 out of 100)
- Location: Mountain View, CA, USA
- Salary: $251k-$310k
- Posted: March 19, 2026
- Apply: https://jobsbylevel.com/go/1fa39ecd-e61a-4123-8815-4dcddcb02df7?utm_medium=ai-agent

## Prepare for this job

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## 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. As a Staff Machine Learning Technical Lead Manager (TLM) on the Labeling Team, you will lead the technical strategy for automating our data pipelines while managing and growing a team of machine learning engineers. You will build cutting-edge auto-labeling systems to drastically scale our throughput and develop intelligent auto-graders to guarantee exceptional data quality. This is a high-impact leadership role where you will manage team members, train, deploy, and orchestrate state-of-the-art computer vision architectures and Vision-Language Models (VLMs) to solve complex semantic labeling challenges across our massive autonomous driving fleet. You Will: Lead Technical Strategy & Architect Auto-Labeling: Define the technical vision and lead the deployment of highly scalable auto-labeling pipelines that significantly improve data throughput and eliminate manual annotation bottlenecks. Build Robust Auto-Graders: Develop automated anomaly detection and quality evaluation systems (auto-graders) to assess annotation accuracy, detect regressions, and enforce rigorous quality standards across millions of labels. Train & Deploy SOTA Computer Vision Models: Train, optimize, and push into production advanced 2D and 3D computer vision models. You will utilize architectures ranging from foundational zero-shot models like SAM (Segment Anything Model) and efficient real-time detectors like YOLO, to bespoke 3D perception and tracking models. Leverage Vision-Language Models (VLMs): Fine-tune, and deploy large VLMs and LLMs, utilizing prompt optimization and advanced post-training techniques (SFT, RL, etc.), to solve complex, open-set labeling and contextual reasoning tasks. Drive Organizational Technical Direction: Serve as a technical pillar for the Labeling organization. Establish long-term ML roadmaps, guide key architectural decisions, and elevate engineering standards across teams. Collaborate Cross-Functionally: Work closely with Perception, Planner, and Simulation teams to align labeling capabilities with the evolving ML data needs of the Waymo Driver. People Leadership & Management: Directly manage, mentor, and grow a team of high-performing ML engineers. Oversee career growth, performance evaluations, team hiring, and foster an inclusive, collaborative team culture. You Have: B.S. in Computer Science, Machine Learning, Robotics, or a related technical field, or equivalent practical experience. 7+ years of professional software engineering and applied machine learning experience. Must have: A deep background in computer vision, including proven experience building, evaluating, and deploying deep learning models for object detection, segmentation, and spatial tracking. Must have: Extensive hands-on experience in large model training, distributed computing, and scaling deep learning architectures using frameworks like PyTorch or TensorFlow. Strong coding proficiency in Python and/or C++, with a track record of writing maintainable, production-grade software. Experience taking machine learning solutions through the entire lifecycle—from research and experimentation to robust, scaled production deployment. 2+ years of experience in direct people management, technical leadership, or leading engineering teams as a TL/TLM. Nice To Have: Experience in

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Source: https://jobsbylevel.com/jobs/staff-machine-learning-engineer-tlm-labeling-automation-at-waymo-ce6a70

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