Research Intern, Inference (Summer 2027)

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

About The Role

The Inference Research team is dedicated to building the next generation of efficient, scalable, and reliable serving systems for large foundation models, directly contributing to the mission of advancing open and transparent AI. Our work operates at the critical intersection of cutting-edge model architectures, high-performance systems engineering, and deep hardware optimization. We focus on co-designing software, algorithms, and models to significantly lower the cost and latency of modern AI systems.

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

Requirements

• 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

Preferred Qualifications

• Prior research experience in foundation models , efficient machine learning , or ML systems .
• Publications at leading conferences in machine learning or systems (i.e., MLSys, ICLR ).
• Experience with CUDA programming (for kernel development)
• Understanding of model optimization techniques and hardware acceleration approaches
• Contributions to open-source machine learning projects

About Together AI

Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.

Internship Program Details

Our internship program runs 12 to 14 weeks, giving you the opportunity to work alongside industry-leading engineers and researchers across multiple teams. This cohort's internship dates span either May 17th to August 6th or June 14th to September 3rd.

Compensation

We offer competitive compensation, housing stipsts, and other competitive benefits. The estimated US hourly rate for this role is $58 to $70 an hour. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy