About the Job
We're looking for a Python engineer with strong data processing experience to build and maintain our ML training infrastructure. You'll design scalable data pipelines, optimize training workflows, and work directly with large-scale robotics datasets. Experience with PyTorch is highly valuable.Tech Stack
Core: Python, PyTorch, Ray, Airflow, Pandas
Key responsibilities:
1. Design, build, and maintain scalable data pipelines for ML training workflows
2. Process and transform large-scale robotics datasets for model training
3. Optimize data ingestion, preprocessing, and feature engineering pipelines
4. Collaborate with ML engineers to streamline model training and evaluation
5. Implement distributed computing solutions using Ray for parallel processing
6. Build and maintain Airflow DAGs for orchestrating complex data workflows
7. Write clean, well-tested, production-ready code
Number of Openings
5 openingsSkills
Python, PyTorch, Pandas
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