Engineering Internship, Enrichment and Curation
Core
Engineering Intern supporting research in embodied foundation models, focusing on pretraining, post-training, and reasoning capabilities for complex AI scenarios.
Role type
Engineering Intern (Embodied AI Research)
Builds
Embodied AI foundation models and large-scale multimodal datasets
Domain
Artificial Intelligence / Robotics / Embodied AI
Deliverable
production ML models | research
Required skills
Vision-language models, Large language models, Natural language processing, Reasoning, Data curation, Python, PyTorch, Distributed training, Multimodal datasets
Preferred skills
Publications in top-tier AI conferences (CVPR, ICCV, NeurIPS, etc.)
Technologies
PyTorch, Tensorflow, JAX, Python
Responsibilities
Work on foundation models for embodied AI including large-scale pretraining and post-training, Train models on large-scale multimodal data in distributed systems, Curate large multimodal datasets for training and evaluation, Lead high-impact research work and publish at top tier conferences
Seniority
Intern
