Built Robotics
solar industry
AI&MLEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“AI & ML Engineer at Built Robotics. Skills: edge machine learning systems, ML infrastructure, computer vision, sensor fusion, autonomous decision-making systems. Design and develop edge machine learning systems that to improve the autonomy and safety of our construction robots. Build scalable ML infrastructure for model training, validation, deployment, and monitoring”
What You'll Achieve.
improve the autonomy and safety of our construction robots; improve model performance and reliability
Industry & Context.
What They're Looking For.
Must Have
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, Experience building distributed ML training systems and data pipelines
Nice to Have
Robotics or autonomous systems experience is a plus
What You'll Do.
Design and develop edge machine learning systems that to improve the autonomy and safety of our construction robots
Build scalable ML infrastructure for model training
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
and autonomous decision-making systems
Integrate cloud-based commercial and open-source AI tools into our autonomy stack
Full Job Description
WHO WE ARE 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 our transition to clean energy. WHAT YOU’LL DO - Design and develop edge machine learning systems that to improve the autonomy and safety of our 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 YOUR 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 - Experience building distributed ML training systems and data pipelines - Robotics or autonomous systems experience is a plus COMPANY PERKS - 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 ABOUT THE COMPANY & ROLE 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 our transition to clean energy. The starting annual base salary range for this role is $140,000 to $185,000. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications, working location, and m
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