Staff Machine Learning Engineer, Tech Lead, Labeling Automation

📋 Description

• Lead the technical strategy for automating data pipelines and build auto-labeling systems to scale
• Develop intelligent auto-graders to guarantee data quality across millions of labels.
• Train, deploy, and orchestrate SOTA computer vision architectures and Vision-Language Models (VLMs).
• Fine-tune and deploy large VLMs and LLMs with prompt optimization and post-training techniques.
• Set long-term ML strategy and mentor senior/mid-level engineers.
• Collaborate with Perception, Planner, and Simulation teams to align labeling capabilities with ML

🎯 Requirements

• 8+ years of professional experience in software engineering and applied machine learning
• Experience programming in C++ or Python
• Experience building, evaluating, and deploying DL models for object detection, segmentation
• Experience with large model training, distributed computing, and scaling DL architectures using
• Experience taking ML solutions from research to robust production deployment

🎁 Benefits

• Discretionary annual bonus and equity incentive plan
• Generous company benefits program
• Collaborative, high-impact work environment with leadership mentorship