Robotics ML Engineer - Edge AI for Autonomous Construction

Built Robotics; United States; Remote; USD 140,000 - 185,000; Full time

Benefits offered by this job

Competitive salary and equity

Employer-sponsored health, dental and視

Job summary

Built Robotics designs and builds autonomous construction robots, aiming to automate repetitive tasks in the solar industry. The role focuses on advancing edge ML systems, scalable data pipelines, and robust perception for safer, more reliable automated construction workflows.

The team leverages Python and leading ML frameworks to push the state of the art in robotics autonomy, modeling, and deployment. Competitive salary, equity, and comprehensive benefits are offered.

Qualifications

• BS/MS/PhD in CS, AI, ML, robotics or related field.
• 3+ years of experience building and deploying ML systems.
• Expertise in Python and ML frameworks such as PyTorch or TensorFlow.

Responsibilities

• Design edge ML systems to improve autonomy and safety of construction robots.
• Build scalable ML infrastructure for training, validation, deployment and monitoring.
• Develop computer vision and sensor fusion models for construction environments.
• Analyze large-scale datasets to improve model performance and reliability.
• Improve object recognition, scene understanding, and autonomous decision-making.

Skills

Python

PyTorch

TensorFlow

Distributed ML

Data pipelines

Robotics

Education

BS in CS/AI/ML/Robotics

MS in CS/AI/ML

PhD in related field

Job description

Built Robotics designs and builds autonomous construction robots, aiming to automate repetitive tasks in the solar industry. The role focuses on advancing edge ML systems, scalable data pipelines, and robust perception for safer, more reliable automated construction workflows.

The team leverages Python and leading ML frameworks to push the state of the art in robotics autonomy, modeling, and deployment. Competitive salary, equity, and comprehensive benefits are offered.