Research Intern, Model Shaping (Summer 2027)
Together AI · San Francisco, Amsterdam · San Francisco
CHECKED 3H AGO
Infrastructureonsiteintern$121k–$146k
At a glance
Highlights
- Research advanced post-training across SFT, preference optimization and RL.
- Build systems for efficient neural network training and reliable evaluation.
- Integrate novel research into products used for frontier specialized models.
What they offer
- Housing stipends
- Competitive benefits
Ideal candidate
A curious CS or EE student passionate about shaping open foundation models, who loves rigorous experimentation and turning novel post-training ideas into real products and publications.
Requirements
- Currently pursuing Bachelor's, Master's, or Ph.D. in Computer Science, Electrical Engineering, or related field
- Strong knowledge of Machine Learning and Deep Learning fundamentals
- Experience with deep learning frameworks (PyTorch, JAX, etc.)
- Familiarity with Transformer architecture and recent foundation model developments
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