ML Data Engineer (m/f/d) - Sensor Data & Pipelines
Core
Own the data foundation of perception systems end-to-end, turning raw sensor data into reliable production-grade systems for object detection and autonomous vehicles.
Role type
Senior ML Data Engineer (Sensor Data & Pipelines)
Builds
Scalable pipelines for ingesting, organizing, and preprocessing large volumes of time-series camera and multi-sensor data (RGB, IR, thermal, depth, IMU)
Domain
Autonomous systems, robotics, computer vision
Deliverable
production ML models
Required skills
Python, data processing frameworks (Pandas, NumPy), ETL/ELT pipelines, data orchestration, dataset versioning, object detection pipelines (Detectron2, MMDetection), active learning, data annotation platforms (CVAT, Label Studio), evaluation metrics (IoU, mAP), database management (SQL/NoSQL)
Preferred skills
Cloud storage (AWS S3, MinIO), MLOps tools (ClearML, MLFlow), ROS, Docker, embedded ML, robotics/drones experience
Technologies
Python, Pandas, NumPy, Detectron2, MMDetection, COCO, CVAT, Label Studio, AWS S3, MinIO, ClearML, MLFlow, ROS, Docker
Responsibilities
Architect scalable pipelines for ingesting and preprocessing large volumes of time-series camera and multi-sensor data; Drive strategy for object detection datasets ensuring quality and representativeness; Design and operate active learning loops; Own labeling workflows end-to-end; Partner with AI Engineers to diagnose model weaknesses and translate into dataset strategy; Plan and lead data collection campaigns; Build internal tools and dashboards for dataset quality visibility
Seniority
Senior, hands-on IC
