Frontier AI Research Intern

Togetherai; San Francisco (CA); On-site; USD 80,000 - 96,000; Full time

Benefits offered by this job

Housing stipend

Job summary

Together AI in San Francisco is offering a research internship to a PhD candidate who will explore frontier AI problems in agentic capabilities, alignment, and scalability. You will work on methods for self-learning, long-horizon reasoning, and dataset curation for frontier agents, collaborating with engineers and researchers across teams.

The program spans 12 to 14 weeks from January 4th to April 9th, with compensation including housing stipends and additional benefits.

Qualifications

• Currently pursuing a Ph.D. in Computer Science, Electrical Engineering, Information Science, or a related field.
• Publications at leading ML, NLP, or speech conferences or journals (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.

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.

Skills

PhD candidate

Publications (ML/NLP/ASR)

Machine Learning

Deep Learning

PyTorch

Python

Transformer architectures

LLMs understanding

Education

PhD in Computer Science / EE / Information Science

Tools

PyTorch

JAX

Job description

Together AI in San Francisco is offering a research internship to a PhD candidate who will explore frontier AI problems in agentic capabilities, alignment, and scalability. You will work on methods for self-learning, long-horizon reasoning, and dataset curation for frontier agents, collaborating with engineers and researchers across teams.

The program spans 12 to 14 weeks from January 4th to April 9th, with compensation including housing stipends and additional benefits.