Frontier AI Research Intern

Together Computer Inc

San Francisco (CA)

Presencial

USD 80.000 - 96.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

Supera los filtros ATS

Ventajas ofrecidas por este puesto de trabajo

Housing stipend
Competitive benefits

Descripción de la vacante

Together AI is seeking a research intern to work on frontier agentic AI problems, including training recipes for self-learning and long-horizon reasoning, data curation for frontier tasks, and building scalable AI infrastructure. You will contribute to experimental design, ablation studies, and publication-quality documentation.

The role emphasizes collaboration across algorithmic innovation, dataset design, and systems work, with exposure to industry-leading researchers and a 12–14 week

Formación

  • Pursuing a PhD in CS, EE, Information Science, or related field.
  • Publications at leading ML/NLP conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, Interspeech).
  • Strong ML/DL fundamentals and Python programming.
  • Experience with PyTorch or JAX; understanding of LLMs and Transformer architectures.

Responsabilidades

  • Research and implement novel techniques in frontier AI focus areas.
  • Design and conduct rigorous experiments to validate hypotheses.
  • Document findings in scientific publications and blog posts.
  • Communicate plans, progress, and results to the broader team.

Conocimientos

Deep Learning
Machine Learning
Python
PyTorch
JAX
LLMs
Transformer architectures

Educación

PhD in Computer Science / Electrical Engineering / Information Science

Herramientas

PyTorch
JAX
Transformers

Descripción del empleo

Together AI is seeking a research intern to work on frontier agentic AI problems, including training recipes for self-learning and long-horizon reasoning, data curation for frontier tasks, and building scalable AI infrastructure. You will contribute to experimental design, ablation studies, and publication-quality documentation.

The role emphasizes collaboration across algorithmic innovation, dataset design, and systems work, with exposure to industry-leading researchers and a 12–14 week

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