Research Intern, Inference (Summer 2027)
Together AI · San Francisco
CHECKED 3H AGO
Infrastructureonsiteintern$121k–$146k
At a glance
Highlights
- Build next-gen efficient serving systems for large foundation models.
- Co-design software, algorithms and models to cut AI cost and latency.
- Explore speculative decoding and phase-aware execution at scale.
What they offer
- Housing stipends
Ideal candidate
Final-year CS or EE student passionate about efficient, open AI systems who loves rigorous experimentation across models and hardware and sharing results with the community.
Requirements
- Currently pursuing final year of 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.)
- Strong programming skills in Python
- Familiarity with Transformer architectures 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