Research Intern, Model Shaping (Winter 2027)
Together AI · San Francisco, Amsterdam · San Francisco
CHECKED 2H AGO
Infrastructureonsiteintern$121k–$146k
At a glance
Highlights
- Research advanced post-training methods spanning supervised learning and RL.
- Develop efficient training systems and reliable evaluation for open models.
- Publish research and integrate results into Together products serving 400T tokens.
What they offer
- Housing stipends
- Competitive benefits
Ideal candidate
Curious ML researcher pursuing a CS-related degree who loves efficient training and post-training experimentation and wants to publish impactful work that ships into real products.
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 developments in 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