Staff Machine Learning Engineer, Tech Lead, Labeling Automation

Highlights

• Lead technical strategy for automating data pipelines at fleet scale.
• Build auto-labeling pipelines to scale throughput and cut manual work.
• Develop auto-graders ensuring quality across millions of labels.

What they offer

• discretionary annual bonus program
• equity incentive plan
• Company benefits program

Ideal candidate

Experienced ML leader energized by scaling data quality and throughput, setting technical direction, and mentoring engineers to advance trusted autonomous mobility.

Requirements

• 8+ years of professional experience in software engineering and applied machine learning
• Experience programming in C++ or Python
• Experience building, evaluating, and deploying deep learning models for object detection, segmentation, and spatial tracking
• Experience in large model training, distributed computing, and scaling deep learning architectures
• Experience taking machine learning solutions from research and experimentation to robust, scaled production deployment
• Experience building internal tooling for ML developers (preferred)