Senior ML Engineer - Real-World Evaluation for Construction Autonomy

Bedrock Robotics; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

A leading robotics company in San Francisco seeks a Machine Learning Engineer to develop evaluation systems and metrics for autonomous construction technology. Ideal candidates have 5+ years in software engineering or data science, with experience in ML performance analysis. Key responsibilities include designing performance measurement systems and classifying data sources for training. Join a team pushing the boundaries of automation in construction to tackle real-world challenges. Flexible roles available; all backgrounds encouraged to apply.

Qualifications

• 5+ years of professional software engineering, data science, or research experience.
• 2+ years of experience analyzing modern ML or robotics system performance.
• Proficiency in Python and comfort with cloud-based frameworks.

Responsibilities

• Design and maintain evaluation systems for measuring performance.
• Develop metrics connecting product goals to system behavior.
• Classify data sources for training and testing ML systems.

Skills

Python

Statistical analysis

Data warehouse query language

Job description

A leading robotics company in San Francisco seeks a Machine Learning Engineer to develop evaluation systems and metrics for autonomous construction technology. Ideal candidates have 5+ years in software engineering or data science, with experience in ML performance analysis. Key responsibilities include designing performance measurement systems and classifying data sources for training. Join a team pushing the boundaries of automation in construction to tackle real-world challenges. Flexible roles available; all backgrounds encouraged to apply.