Research Intern, Frontier Agents (Summer 2027)
Together AI · San Francisco
CHECKED 3H AGO
Infrastructureonsiteintern$121k–$146k
At a glance
Highlights
- Build frontier agents tackling complex multi-step text and speech workflows.
- Develop training recipes for self-learning and long-horizon reasoning.
- Study agent failure modes and build evaluation for open-ended tasks.
What they offer
- Housing stipends
Ideal candidate
PhD researcher driven by frontier agentic AI who loves open-ended problems at the intersection of capabilities, interaction, and systems. You publish rigorous work and enjoy turning research into reliable real-world agents.
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 (PyTorch, JAX, etc.)
- Understanding of how LLMs work
- Strong programming skills in Python
- Familiarity with Transformer architectures and recent 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