AI/ML Researcher

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AI/ML Researcher

3 years direct contract

TLDR: Drive research on LLM solutions (modeling, JER, reasoning, agentic frameworks) and transition research into production. Mentor and guide junior researchers.

Fast pass: Published in top-tier conferences/journals. Attach your google scholar page.

Slow pass: PhD holders with strong research background, even if no publications yet.

Responsibilities

  • Lead the design of research and experiment methodologies for LLM core components.
  • Conduct independent research and present findings to stakeholders.
  • Work with engineering teams on data collection, preprocessing, quality assurance, and augmentation to build robust training datasets.
  • Apply advanced analytical techniques to derive insights from large datasets.
  • Provide regular updates on scientific progress, insights, and direction to supervisors and research leads.
  • Publishing in top journals and conferences is valued but not mandatory.
  • Support additional program-related projects as needed.
  • Collaborate with engineering teams to transition research from early-stage to applied engineering.
  • Senior-level staff are expected to mentor and advise team members across projects.

Requirements

  • PhD in Computer Science, Engineering, Statistics, or related fields.
  • 2–4 years of R&D experience in one or more of the following areas:
  • NLP with focus on LLM components (entity-relation, information retrieval, prompt engineering, reasoning, sentiment analysis, LLM vulnerabilities).
  • Generative AI, especially synthetic data generation.
  • Strong problem-solving and analytical skills.
  • Ability to stay updated on the latest research and methodologies.
  • Demonstrated drive to deliver effective solutions under tight timelines.
  • Excellent communication and organizational skills.
  • Ability to produce detailed technical documentation, architectural designs, and best practices.

Hybrid Role: 3 days in 2 days out.

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