Research Intern, Frontier Agents (Winter 2027)
Together AI · San Francisco
CHECKED 2H AGO
Infrastructureonsiteintern$121k–$146k
At a glance
Highlights
- Build frontier AI agents for complex multi-step text and speech workflows.
- Develop training recipes for self-learning and long-horizon reasoning.
- Study agentic failure modes and build infrastructure for agents at scale.
What they offer
- Housing stipends
- Competitive benefits
Ideal candidate
A curious PhD researcher driven by frontier agentic AI, eager to blend rigorous experimentation with creative problem-solving to make agents more reliable and capable.
Requirements
- Currently pursuing a Ph.D. in Computer Science, Electrical Engineering, Information Science, or related field
- Publications at leading ML, NLP, or speech conferences or journals
- Strong knowledge of Machine Learning and Deep Learning fundamentals
- Experience with deep learning frameworks such as PyTorch or JAX
- Understanding of how LLMs work
- Strong programming skills in Python
- Familiarity with Transformer architectures and foundation models
Lab profile
About Together AI
AI-native cloud for training and inference on large-scale GPU infrastructure for AI apps and agents.
What they build
- AI-native cloud platform
- GPU clusters for training and inference
- Platform for AI applications and agents
Known for
- Operating large-scale GPU fleets
- Automated infrastructure at massive scale
- Multi-site data center deployment
Key facts
- Over 1M developers
- Operates one of the world's largest GPU fleets
- Infrastructure managing tens of thousands of GPUs