Deep Learning Scientist Intern, LLM, Multimodal and Agentic AI - Summer 2027
Core
Research, design, and development of large language models, multimodal foundation models, and agentic AI systems.
Role type
Research intern (Deep Learning Scientist)
Builds
Next-generation foundation models for text, vision, speech, audio, and video
Domain
Artificial Intelligence / Deep Learning
Deliverable
production ML models
Required skills
Machine learning, deep learning, Transformers, Python, PyTorch, NeMo, Megatron-LM, TensorFlow, dataset curation, model evaluation, reinforcement learning
Preferred skills
Post-training techniques (RLHF, RLVR, GRPO), multimodal reasoning, agentic systems, distributed training frameworks, inference technologies (vLLM, TensorRT-LLM)
Responsibilities
Develop and train foundation models using supervised fine-tuning and reinforcement learning; prototype new model architectures and training strategies; build and curate high-quality datasets and evaluation benchmarks; evaluate capabilities including reasoning, planning, and tool use.
Seniority
Intern
