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# Staff Machine Learning Engineer, TLM , Labeling Automation

- **Company:** Waymo LLC
- **Location:** Mountain View, CA, United States
- **Experience:** Experienced
- **Salary:** $251,000.0 - $310,000.0
- **Contract:** Permanent contract
- **Skills:** Computer Vision, C++ (Programming Language), Computer Programming, Distributed Systems, Python (Programming Language), Machine Learning, Language Modeling, Object Detection, Tensorflow, Software Engineering, Pytorch, Large Language Models, Deep Learning, Information Technology
- **Published:** October 30, 2026
- **Apply:** https://www.adzuna.com/details/5918893555

## About the Role

* 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 building internal tooling for ML developers

## Description

* 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.