Frontier Agents Intern (Fall 2026)

Togetherai; San Francisco (CA); On-site; USD 79,900 - 86,788; Full time

Benefits offered by this job

Competitive compensation

Housing stipends

Flexible internship program

Job summary

Togetherai is looking for a research intern to tackle complex challenges in agentic AI systems. This role involves developing training recipes, curating datasets, and studying agent behavior. The internship offers a unique opportunity to work with industry leaders and contribute to groundbreaking projects.

The estimated hourly rate ranges from $58 to $63 based on location and experience, with additional benefits available. Ideal candidates are pursuing advanced degrees in relevant fields and have a strong foundation in machine learning and deep learning methods.

Qualifications

• Currently pursuing a Masters or Ph.D. degree.
• Publications in leading ML, NLP, or speech conferences or journals.
• Strong knowledge of Machine Learning and Deep Learning fundamentals.

Responsibilities

• Research and implement novel techniques in focus areas.
• Design and conduct rigorous experiments.
• Document findings in scientific publications.

Skills

Machine Learning fundamentals

Deep Learning fundamentals

Programming skills in Python

Education

Masters or Ph.D. in Computer Science, Electrical Engineering, Information Science or related field

Tools

PyTorch

JAX

Job description

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 Masters or 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 fall internship program spans over 12 to 16 weeks where you’ll have the opportunity to work with industry-leading engineers building a cloud from the ground up and possibly contribute to influential open source projects. Our internship dates are September 14th to December 18th.

Compensation

We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 - $63 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.