Software Engineer, ML Ops
Core
Build and maintain data pipelines, manage versioned datasets, and optimize cloud costs to support perception and ML teams in autonomous ground handling.
Role type
ML Ops Engineer (Data Infrastructure)
Builds
Data pipelines, curated versioned datasets, training workflows, and tooling for perception engineers
Domain
Autonomous ground handling / Robotics / Aviation
Deliverable
production ML models
Required skills
Python, ROS2, Docker, Cloud storage/compute (AWS), ML workflows, Dataset versioning
Preferred skills
C/C++, Weights & Biases, Large-scale sensor datasets, Perception/ML research support
Technologies
ROS2, Docker, AWS (S3, EC2), Weights & Biases
Responsibilities
Ingest field data (rosbags, sensor logs, telemetry), Manage dataset storage/indexing/querying, Set up training workflows, Build tooling for reproducible experiments, Generate metrics for dataset health and model performance
Seniority
Mid-level IC
