Research Intern, Inference (Summer 2027)
Join Together AI as a Research Intern to work on cutting-edge distributed inference and optimization for large foundation models.
Posted by employer 2 days ago
First seen on Joblaze 1 day ago
Last verified on the company career page 9 hours ago
Skills & Technologies
What you'll build
- Design and conduct experiments
- Communicate project plans and results
- Document findings in publications
Must have
- 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
Nice to have
- Prior research experience in foundation models
- Publications at leading conferences in machine learning or systems
- Experience with CUDA programming
- Understanding of model optimization techniques
Requirements
- Education
- Bachelor's degree
Not disclosed in this posting: years of experience, work arrangement, visa sponsorship.
Benefits
Joblaze summary
The Research Intern for the Inference team at Together AI engages in hands-on projects focused on optimizing large foundation models through innovative inference strategies and system designs. Key skills include a solid understanding of machine learning principles, proficiency in Python, and experience with frameworks like PyTorch or JAX. This role is ideal for advanced students in computer science or engineering, particularly those with prior research experience in machine learning systems. The internship offers a collaborative environment alongside experienced engineers and researchers.
Joblaze insights
- Listed yesterday — first seen on Joblaze September 19, 2026. Last confirmed on Together AI's careers page September 20, 2026.
- Machine Learning appears in 40% of 50 comparable intern ai/ml roles in United States; CUDA appears in 6% of 50 comparable intern ai/ml roles in United States.
Quick facts
- What's the salary range?
- Together AI lists $58–$70 for this role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: CUDA, Deep Learning, JAX, Machine Learning, PyTorch, Python.
- What seniority level is this role?
- Together AI targets intern candidates for this position.
- Is this full-time or contract?
- Internship for this Research Intern, Inference (Summer 2027) role at Together AI.
From the original posting
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
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.
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Standard company text repeated across Together AI's postings is omitted here.