Research Intern, Inference (Winter 2027)
Together AI · San Francisco
CHECKED 1H AGO
Infrastructureonsiteintern$121k–$146k
At a glance
Highlights
- Build next-gen efficient serving systems for large foundation models at scale.
- Co-design models, systems, and hardware to cut AI cost and latency.
- Unlock faster serving and larger MoE deployment under realistic workloads.
What they offer
- Housing stipends
- Competitive benefits
Ideal candidate
A final-year CS or EE student fascinated by efficient, scalable AI who enjoys rigorous experimentation and openly sharing results with the research 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