Edge ML Engineer for Autonomous Construction Robots

Uncrewed Engineering Jobs; United States; Remote; USD 140,000 - 185,000; Full time

Benefits offered by this job

Competitive salary

Health insurance for you and family

401(k) match

Paid holidays & PTO

TSA PreCheck

Lunch and snacks

Job summary

Built Robotics is seeking a highly skilled ML engineer to design and develop edge machine learning systems that improve the autonomy and safety of our construction robots. You will build scalable ML infrastructure for model training, validation, deployment, and monitoring, and optimize computer vision and sensor fusion for challenging construction environments.

You will analyze large-scale operational datasets to improve model performance and reliability, and integrate cloud-based tools into the

Qualifications

• BS, MS, or PhD in computer science, artificial intelligence, machine learning, robotics, or related field.
• 3+ years of experience building and deploying machine learning systems.
• Expertise in Python and ML frameworks such as PyTorch or TensorFlow.

Responsibilities

• Design and develop edge machine learning systems to improve autonomy and safety of construction robots.
• Build scalable ML infrastructure for model training, validation, deployment, and monitoring.
• Develop and optimize computer vision and sensor fusion models for construction environments.
• Analyze large-scale operational datasets to improve model performance and reliability.
• Improve object recognition, scene understanding, and autonomous decision-making systems.
• Integrate cloud-based commercial and open-source AI tools into our autonomy stack.

Skills

Python

Edge ML systems

ML concepts

Education

BS/MS/PhD in CS/AI/ML/Robotics

Tools

PyTorch

TensorFlow

Job description

Built Robotics is seeking a highly skilled ML engineer to design and develop edge machine learning systems that improve the autonomy and safety of our construction robots. You will build scalable ML infrastructure for model training, validation, deployment, and monitoring, and optimize computer vision and sensor fusion for challenging construction environments.

You will analyze large-scale operational datasets to improve model performance and reliability, and integrate cloud-based tools into the