Job Description
📋 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
