AI & ML Engineer

Stack

Responsibilities

• ▹Design and develop edge machine learning systems to improve the 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 the autonomy stack

Requirements

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

Nice to have

• ▹Robotics or autonomous systems experience

What we offer

• ▹Competitive salary and equity
• ▹100% employer-sponsored health, dental and vision insurance for you, your spouse and children
• ▹401(k) with employer matching
• ▹Paid holidays and flexible PTO
• ▹TSA PreCheck
• ▹Gym membership
• ▹Free catered lunch and plenty of snacks
• ▹A pair of steel-toe boots
• ▹Annual base salary range: $140,000-$185,000

About the company

Built Robotics' mission is to build the robots that build the world. By automating repetitive tasks in the $300 billion solar industry, Built is bridging the workforce gap to accelerate the transition to clean energy.