Inference Research Intern: ML Systems & Foundations

Together AI; San Francisco (CA); On-site; USD 80,000 - 96,000; Full time

Benefits offered by this job

Housing stipend

Competitive compensation

Job summary

Together AI, the AI Native Cloud, invites students to join a hands-on internship in San Francisco. The Inference Research team focuses on efficient, scalable serving systems for large foundation models, joining software, algorithms, and hardware optimization efforts.

The program runs 12 to 14 weeks with mentors across multiple teams. You will design experiments, report findings, and contribute to publications and blog posts while gaining exposure to cutting-edge ML research and system

Qualifications

• Currently pursuing a final year of Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a 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.

Responsibilities

• Design and conduct rigorous experiments to validate hypotheses
• Communicate the plans, progress, and results of projects to the broader team
• Document findings in scientific publications and blog posts

Skills

ML fundamentals

Python

Transformer awareness

Deep learning frameworks

Education

Bachelor/Master/PhD in CS/EE or related

Tools

PyTorch

JAX

CUDA programming

Job description

Together AI, the AI Native Cloud, invites students to join a hands-on internship in San Francisco. The Inference Research team focuses on efficient, scalable serving systems for large foundation models, joining software, algorithms, and hardware optimization efforts.

The program runs 12 to 14 weeks with mentors across multiple teams. You will design experiments, report findings, and contribute to publications and blog posts while gaining exposure to cutting-edge ML research and system