AI & ML Engineer
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
Apply To This Job
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
Apply To This Job