Autonomy ML Engineer - Robotics & Vision-Action

Avatar Robotics; San Francisco (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading robotics company in San Francisco is seeking a Machine Learning Engineer to lead the transition from teleoperation to autonomy. The ideal candidate will have extensive experience in machine learning, particularly in robotics and computer vision. Responsibilities include designing data collection pipelines, developing Vision-Language-Action models, and deploying models to edge devices. This role involves hands-on testing and collaboration within a dynamic team to shape the future of autonomous robots.

Qualifications

• 3+ years of hands-on ML experience, ideally in robotics, computer vision, or embodied AI.
• Strong foundation in deep learning frameworks and training large models.
• Experience with imitation learning or reinforcement learning in physical systems.

Responsibilities

• Design and implement data collection pipelines for synchronized sensor streams.
• Build data processing systems for cleaning and organizing multi-modal data.
• Develop and train Vision-Language-Action models and behavior cloning systems.
• Deploy trained models to edge computing devices with real-time inference.

Skills

Machine Learning

Deep Learning

Computer Vision

Robotics Fundamentals

Python

Tools

PyTorch

TensorFlow

JAX

Job description

A leading robotics company in San Francisco is seeking a Machine Learning Engineer to lead the transition from teleoperation to autonomy. The ideal candidate will have extensive experience in machine learning, particularly in robotics and computer vision. Responsibilities include designing data collection pipelines, developing Vision-Language-Action models, and deploying models to edge devices. This role involves hands-on testing and collaboration within a dynamic team to shape the future of autonomous robots.