Autonomy ML Engineer: Real-World Evaluation

Bedrock Robotics; San Francisco (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Bedrock Robotics is hiring a Machine Learning Engineer for evaluation to advance autonomy in construction. You will design and maintain evaluation systems, develop metrics, and classify data sources for training and testing, applying statistical methods to real-world robotic deployments.

The role emphasizes building end-to-end evaluation pipelines, analyzing performance across diverse data, and supporting deployment readiness on Bedrock Operator machinery.

Qualifications

• 5+ years of professional software, data science, or research experience.
• 2+ years analyzing ML or robotics systems in real-world problems.
• Proficient in Python and a data warehouse query language; comfortable with cloud infrastructure.

Responsibilities

• Build eval pipelines measuring system performance across open loop, closed loop, hardware-in-the-loop, and field data.
• Develop metrics that map product goals to measurable indicators from logged data.

Skills

Senior/Staff

Python

Statistics

Data analysis

ML systems

Cloud infrastructure

Tools

SQL

Cloud platforms

Job description

Bedrock Robotics is hiring a Machine Learning Engineer for evaluation to advance autonomy in construction. You will design and maintain evaluation systems, develop metrics, and classify data sources for training and testing, applying statistical methods to real-world robotic deployments.

The role emphasizes building end-to-end evaluation pipelines, analyzing performance across diverse data, and supporting deployment readiness on Bedrock Operator machinery.