Joblaze summary

In this role, the research intern will engage in cutting-edge projects focused on advancing agentic AI, tackling challenges related to alignment, reliability, and scalability. Key skills include a strong foundation in machine learning and deep learning, proficiency in frameworks like PyTorch or JAX, and familiarity with large language models. This position is ideal for Ph.D. candidates with a background in computer science or related fields, particularly those with prior publications in leading AI conferences. Together AI fosters a collaborative environment, allowing interns to work alongside experienced engineers and researchers.

Joblaze insights

Listed about a month ago — first seen on Joblaze September 19, 2026. Last confirmed on Together AI's careers page November 5, 2026.
Machine Learning appears in 35.3% of 119 comparable intern ai/ml roles in United States; Transformer appears in 1.7% of 119 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: Deep Learning, JAX, Machine Learning, PyTorch, Python, Transformer.
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, Frontier Agents (Winter 2027) role at Together AI.

From the original posting

About the Role

The Agents team investigates how to build, align, and scale frontier AI systems that can tackle complex, multi-step tasks and workflows across text and speech, with a particular focus on agentic and scientific domains. Our work sits at the intersection of agent capabilities, human-computer interaction, and infrastructure—from designing post-training methods for agentic behavior to developing evaluation frameworks for open-ended tasks where traditional metrics fall short.

As a research intern, you will work on problems at the frontier of agentic AI, where challenges in alignment, reliability, and scalability are deeply intertwined. Projects may involve developing new training recipes for self-learning and long-horizon reasoning, curating datasets for non-deterministic scientific and agentic tasks, studying failure modes in agentic behavior, or building infrastructure that enables agent operations at scale. You'll operate in a space where algorithmic innovation, dataset and interaction design, and systems work come together to push the boundaries of what AI agents can reliably accomplish.

Responsibilities

Research and implement novel techniques in one or more of our focus areas
Design and conduct rigorous experiments to validate hypotheses
Document findings in scientific publications and blog posts
Communicate the plans, progress, and results of projects to the broader team

Requirements

Currently pursuing a Ph.D. degree in Computer Science, Electrical Engineering, Information Science, or a related field
Publications at leading ML, NLP, or speech conferences or journals (such as NeurIPS, ICML, ICLR, *ACL, EMNLP, Interspeech)
Strong knowledge of Machine Learning and Deep Learning fundamentals
Experience with deep learning frameworks (PyTorch, JAX, etc.)
Understanding of how LLMs work
Strong programming skills in Python
Familiarity with Transformer architectures and recent developments in foundation models

Example Research Directions

Training, developing, and evaluating frontier models, especially in the domain of agentic tasks and workflows
Designing and curating datasets for frontier agents alignment and post-training
Studying failure modes and developing safety paradigms for agentic behavior
Research new recipes (for RL or test time scaling) for self-learning and long-context tasks completion
Building agents that act on spoken input to carry out complex, multi-step tasks
Developing ML infrastructure that can power agent operations at scale

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 January 4th to April 9th.

Compensation

We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 - $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.

Research Intern, Frontier Agents (Winter 2027)