Senior / Staff Machine Learning Engineer - Scene Intelligence

Job description

Job responsibilities

• Design and train Vision-Language-Action (VLA) solutions for robotaxis
• Lead end-to-end data strategy, including mining, auto-labeling, and dataset construction to power our ML flywheel
• Lead the full post-training stack for VLMs and VLAs, including C ontinual Pre-training (CPT) on domain-specific driving data, Supervised Fine-Tuning (SFT) for instruction following.
• Utilize our large-scale data pipelines and ML infrastructure to research, prototype, and deploy solutions that improve driving behavior
• Partner with cross-functional teams to integrate perception signals

Job requirements

• MS or PhD in Computer Science or related field
• Background in deep learning solutions for VLM and VLA models
• Track record in post-training large-scale models, CPT, SFT, RL
• Hands-on experience with production ML pipelines, including dataset creation, training frameworks, and metrics
• Expertise in Python libraries (PyTorch, NumPy, Pandas, VLLM)
• Deep knowledge of cutting-edge computer vision techniques
• Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA)
• Experience with integrating large language models to various tasks.