Founding Machine Learning / Data Engineer
Core
Build end-to-end ML pipelines to turn hardware telemetry (power traces, sensor streams) into production models and product features for fleet optimization.
Role type
Founding Machine Learning / Data Engineer
Builds
Production ML models and product features for hardware fleet optimization
Domain
Hardware infrastructure / Machine Learning
Deliverable
production ML models
Required skills
Python, PyTorch, AWS (S3, EKS, SageMaker), data pipeline design, labeling workflow design, model monitoring, architectural direction
Preferred skills
Time-series/signal processing, LLM fine-tuning, hardware/EE background, ClickHouse, dbt, Airflow/Dagster/Prefect
Technologies
Python, PyTorch, AWS, PostgreSQL, SeaweedFS, Grafana, Mimir
Responsibilities
Design and build data platform end-to-end, build labeling workflow, design and operate reproducible training stack, ship inference for product features, operate models in production, partner with full-stack/hardware teams, mentor new engineers
Seniority
Founding, hands-on IC with strategic direction
