Samaya AI
Mountain View, California

ML Research Intern

Visa SponsorshipPosted 5 days agoLinkedIn

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About this role

Role

We are seeking a highly motivated Machine Learning Research Intern to work on cutting-edge research in the fields of Natural Language Processing (NLP) and Machine Learning (ML). At Samaya, our product delivers value to one of the most high-stake environments of AI applications - helping financial professionals make knowledge-informed decisions via key techniques such as RAG, RL and AI agents with advanced tool calling and long-horizon reasoning, etc. The primary focus of this internship is to conduct novel research that advances these fields, with the goal of publishing in top-tier ML and NLP conferences. The intern will collaborate closely with our team of experienced researchers on topics aligned with the company’s mission.

This role is ideal for a PhD or advanced Master’s student passionate about fundamental research and real-world AI applications. The intern will also have the opportunity to reshape Samaya’s key product roadmap using their research.

Responsibilities

  • Conduct original research in the broad areas of LLM training and evaluation, RAG, RL and AI agents, leading to publications in top ML/NLP conferences.
  • Develop and experiment with new models, algorithms, and methodologies to improve AI agents performance in real-world tasks.
  • Collaborate with in-house researchers to design, implement, and evaluate novel methods in alignment with the company’s mission.
  • Present findings internally and externally through research papers and technical talks.

Qualifications

  • Currently pursuing a PhD or Master’s degree in Computer Science, Machine Learning, NLP, or a related field.
  • Strong background in deep learning, large language models, and NLP techniques. Deep domain knowledge with RAG, RL and AI agent training and evaluation is a plus.
  • A strong track record of first-author publications in top AI/NLP conferences (e.g., NeurIPS, ICML, ACL, EMNLP).
  • Proficiency in Python and deep learning frameworks such as PyTorch or Transformers, and strong coding skills.