Senior Machine Learning Engineer - Active Learning
Core
Design and run active learning systems to generate labels, manage ground truth, and improve production ML models for energy use and fault detection.
Role type
Senior Machine Learning Engineer (Active Learning & Data Operations)
Builds
Production ML models for load disaggregation and fault detection; annotation tools and datasets.
Domain
Climate tech / Energy / Signal processing
Deliverable
production ML models
Required skills
Active learning, weak supervision, deep learning model training, rare event detection, label quality measurement, Python, SQL, data pipelines
Preferred skills
Time series/sensor/audio data, leading annotation teams, foundation model embeddings
Technologies
Python, SQL
Responsibilities
Design active learning sampling strategies; convert field errors into ground truth; identify rare/hard cases in data; own the ground truth plan; direct annotator teams and set quality standards; develop annotation tool features; measure label quality metrics; manage label versioning and evaluation sets.
Seniority
Senior, hands-on IC with mentorship
