Senior Machine Learning Engineer, Computer Vision/VLM
Core
Building offboard perception autolabels at massive scale to train and validate the autonomous vehicle (AV) stack using computer vision, deep learning, and generative AI.
Role type
Senior IC machine learning engineer (computer vision / VLM / agentic systems)
Builds
High-fidelity scene understanding data, AI agent frameworks integrating foundation models, and automated data flywheels for AV perception
Domain
Autonomous driving / Robotics / Computer Vision / Generative AI
Deliverable
production ML models
Required skills
Computer vision model training (detection, segmentation, video understanding), Large Language Model (LLM) and Vision-Language Model (VLM) fine-tuning, Reinforcement Learning (RL) techniques, Scalable system design, Large-scale data pipeline management
Preferred skills
Reinforcement Learning from Human/Agent Feedback (RLHF/RLAIF), Self-supervised and multi-task learning, AI agent framework development (LangChain, LlamaIndex), Multimodal perception in robotics
Technologies
PyTorch, JAX, TensorFlow, Gemini, Python
Responsibilities
Develop and train state-of-the-art computer vision and multimodal models; Design and implement scalable AI agent frameworks; Apply fine-tuning and RL techniques to create a data flywheel; Prototype novel prompting strategies for VLMs; Collaborate with ML Infra, Perception, and Behavior teams; Own the full system lifecycle from prototyping to production deployment
Seniority
Senior, hands-on IC