Tasks:
- * Build automated data quality and filtering pipelines
- * Collect and clean robot and open-source datasets
- * Deploy models on real robots and validate performance
- * Develop VLA/WAM models through pretraining and post-training
- * Optimize UMI/EGO data mixing strategies
Perks/Benefits:
Skills/Tech stack required:
[Action models] [Automated data processing] [Data pipeline] [Data Pipeline Development] [Data Processing] [Data Quality] [Data quality assessment] [Distributed data] [Distributed data processing] [EGO] [Embodied AI] [Git] [Linux] [Model post-training] [Model pretraining] [Multimodal Data] [Multimodal Data Processing] [NumPy] [Pandas] [Pipeline Development] [Post-training] [Prompt Optimization] [Python] [Quality Assessment] [Robot deployment] [Umi] [Vision-language] [Vision-language-action] [Vision-Language-Action Models] [WAM]
Educational requirements:
[Bachelor's Degree] [Master's Degree] [PhD]
Role(s):
[Data Engineer] [Engineer] [Learning Engineer] [Machine Learning Engineer] [Robotics Engineer]