Edge ML Engineer for Autonomous Construction Robots

Built Robotics Inc; San Francisco (CA); On-site; USD 140,000 - 185,000; Full time

Benefits offered by this job

Competitive salary and equity

100% employer-sponsored health, dental and vision insurance

401(k) with employer matching

Paid holidays and flexible PTO

Gym membership

Free catered lunch and snacks

TSA PreCheck

A pair of steel-toe boots

Job summary

Built Robotics Inc is seeking a Machine Learning Engineer in San Francisco to design and develop machine learning systems for construction robots. The role requires a BS, MS, or PhD in relevant fields and over 3 years of experience with Python and ML frameworks. The position offers a competitive salary ranging from $140,000 to $185,000, equity, and comprehensive health benefits, including catered lunch, gym membership, and flexible PTO.

Qualifications

• 3+ years of experience building and deploying machine learning systems.
• Expertise in Python and ML frameworks like PyTorch or TensorFlow.
• Experience building distributed ML training systems and data pipelines.

Responsibilities

• Design and develop edge machine learning systems for construction robots.
• Build scalable ML infrastructure for model training, validation, and deployment.
• Analyze large-scale operational datasets to improve model performance.

Skills

Machine learning systems development

Python programming

Experience with ML frameworks like PyTorch or TensorFlow

Distributed ML training systems

Robotics or autonomous systems experience

Education

BS, MS, or PhD in computer science, AI, machine learning, robotics or related field

Job description

Built Robotics Inc is seeking a Machine Learning Engineer in San Francisco to design and develop machine learning systems for construction robots. The role requires a BS, MS, or PhD in relevant fields and over 3 years of experience with Python and ML frameworks. The position offers a competitive salary ranging from $140,000 to $185,000, equity, and comprehensive health benefits, including catered lunch, gym membership, and flexible PTO.