AI & ML Engineer

Built Robotics

Remote

Who this role is best for

Aimed at mid-level engineers with expertise in ML systems and robotics who thrive in remote settings and have experience with edge computing.

Best fit for

Engineers with hands-on experience in deploying ML models in real-world robotics applications.
— “Design and develop edge machine learning systems that improve the autonomy and safety of our construction robots”
Candidates who have built scalable infrastructure for ML training and deployment.
— “Build scalable ML infrastructure for model training, validation, deployment, and monitoring”
Professionals with a strong background in computer vision and sensor fusion.
— “Develop and optimize computer vision and sensor fusion models for construction environments”

Things to consider

The role requires expertise in Python and ML frameworks like PyTorch or TensorFlow.
— “Expertise in Python and ML frameworks such as PyTorch or TensorFlow”
Experience with distributed ML training systems is a must.
— “Experience building distributed ML training systems and data pipelines”

How to stand out

Highlight specific projects where you improved model performance in operational datasets.
— “Analyze large-scale operational datasets to improve model performance and reliability”
Showcase any robotics or autonomous systems experience, even if it's a plus.
— “Robotics or autonomous systems experience is a plus”
Demonstrate your ability to integrate cloud-based AI tools into existing systems.
— “Integrate cloud-based commercial and open-source AI tools into our autonomy stack”

Pace · Fast PacedCollaboration · MediumAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

improve autonomy and safety of construction robots
build scalable ML infrastructure
optimize computer vision models

Typical background

computer scienceartificial intelligencemachine learning

Skills & requirements

Required

Edge Machine LearningComputer VisionSensor FusionData AnalysisAutonomous Systems

Preferred

RoboticsAutonomous Decision-making

Stack & domain

PythonMl Frameworks (pytorch, Tensorflow)Distributed Ml Training SystemsData PipelinesComputer VisionSensor FusionCloud-based Commercial And Open-source Ai ToolsConstruction RobotsAutonomySafety

About the role

Original posting from Built Robotics via Ashby

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 market demands. The total compensation package for this role may also include: equity compensation, benefits such as medical, dental and vision insurance, 401(k) matching, paid time off, cell phone and internet reimbursement and more.
Built Robotics provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Built Robotics makes hiring decisions based solely on qualifications, merit, and business needs at the time.

Source: Built Robotics careers (Ashby)