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Design and conduct experiments on distributed inference systems, compiler optimization, and inference-time computation strategies like speculative decoding. You'll work on cross-layer optimizations for KV cache design and large-scale serving architectures for foundation models. Required: final-year Bachelor's, Master's, or Ph.D. in Computer Science or related field; strong Python and deep learning framework experience; knowledge of Transformer architectures. The internship runs 12–14 weeks starting May or June, with an estimated US hourly rate of $58–$70.

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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.

As a research intern, you will dive into the complexities of distributed inference, compiler-aware optimization, and novel inference-time computation strategies (such as speculative decoding and phase-aware execution). You will be tasked with co-designing and implementing cross-layer optimizations across models, systems, and hardware, with a focus on areas like KV cache design and large-scale serving architectures.

Projects aim to unlock unprecedented performance and scale for foundation models, enabling faster serving, larger model deployment (e.g., Mixture-of-Experts), and robust, reproducible evaluation under realistic serving workloads.

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 stipends, 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

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  • Role Research Intern, Inference (Summer 2027)
  • Experience No experience yet
  • Education Bachelor Degree
  • Work type On-site
  • Location United States
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Together AI
AI Infrastructure & Compute · 100-200 Members · San Francisco, CA, United States

Together AI is a cloud platform for training, fine-tuning and running open-source models, with a research arm contributing to open AI development.

Founded in 2022, Together AI provides high-performance inference for open models.

All jobs at Together AI
Job Overview
Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
3 days ago
Job Type
Intern
Education
Bachelor Degree
Experience
No experience yet

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