Research Intern, Frontier Agents (Summer 2027)

Together AI is hiring a Research Intern, Frontier Agents (Summer 2027) in San Francisco, United States. It pays $58-$70/hr and Level rates it ; you can apply on Together AI.

Level's read on this job

On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
The posting mentions PyTorch, JAX and Cursor among its tools and skills.
Level classes it as an internship.
Together AI has 87 other open roles on Level.

AI in this role

pytorchjaxcursorelevenlabsdecagon

ai-agentsfine-tuningnlp

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

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 - $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.

Application Policy

Please read each role carefully and apply to the position best suited to you. Candidates are limited to 6 applications within a 90-day period, and applications beyond that limit will be automatically rejected. You may apply to additional roles 90 days after your last application.

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.

For more information about our privacy policy, please visit: https://www.together.ai/privacy

How we rate this

Research Intern, Frontier Agents (Summer 2027) at Together AI rates 100 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Research Intern, Frontier Agents (Summer 2027) is an open job at Together AI.
Level rates this role AI Level 4 of 4: Builds AI.
The listed pay is $58-$70/hr.
The role is based in San Francisco.
The job was posted on September 18, 2026.
Seniority: intern.
Applications are handled by Together AI. Apply on Together AI

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsFine-tuningNLPPyTorchJAXCursorElevenlabsDecagon

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Walk me through fine-tuning a model: what data did you use, and how did you check the result?
What NLP problem have you worked on, and how did you measure whether it actually worked?
What's a project where you used PyTorch hands-on?
Walk me through how you've used JAX in your day-to-day work.

Adapt your resume

List these exact terms on your resume: AI agents, Fine-tuning, NLP, PyTorch, and JAX. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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