Senior Machine Learning Engineer - Scene Understanding

📋 Description

• Design and train Vision-Language-Action models for robotaxis.
• Lead end-to-end data strategy: mining, auto-labeling, datasets.
• Lead post-training stack for VLMs and VLAs: CPT on driving data.
• SFT for instruction following.
• Use large-scale data pipelines to prototype and deploy driving solutions.
• Partner with cross-functional teams to integrate perception signals.

🎯 Requirements

• MS or PhD in CS or related field.
• Background in deep learning for VLM and VLA models.
• Track record in post-training large-scale models, CPT, SFT, RL.
• Hands-on with production ML pipelines: datasets, training frameworks, metrics.
• Expertise in Python libraries (PyTorch, NumPy, Pandas, VLLM).

Bonus Qualifications

• Deep knowledge of cutting-edge computer vision techniques.
• Publications in CVPR/ICCV/RSS/ICRA.
• Experience integrating large language models to various tasks.