Machine Learning Engineer: Evaluation
Core
Design and maintain evaluation systems to measure performance of autonomous construction machinery across simulations and field data.
Role type
Senior Machine Learning Engineer (Evaluation & Metrics)
Builds
Evaluation pipelines, metrics infrastructure, and data classifiers for autonomous construction systems.
Domain
Autonomous construction robotics / Heavy machinery
Deliverable
production ML models
Required skills
Python, data warehouse query languages, statistical analysis (hypothesis testing, uncertainty quantification), large dataset handling, ML system evaluation, infrastructure development
Preferred skills
Statistical background applied to ML research or real-world robotics
Technologies
Parallelized cloud-based frameworks, simulation environments, hardware-in-the-loop systems
Responsibilities
Build pipelines for measuring system performance across open/closed loop simulation and field data; Develop metrics connecting product goals to measurable indicators from logged data; Classify data sources for training and testing via infrastructure and classifiers; Model metrics and interpret results to predict system performance and deployment readiness.
Seniority
Senior, hands-on IC