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Machine Learning Research Scientist – Remote | Up to $120/hr
Machine Learning Research Scientist – Remote | Up to $120/hrCall For Referral • San Francisco, CA, United States
Machine Learning Research Scientist – Remote | Up to $120 / hr

Machine Learning Research Scientist – Remote | Up to $120 / hr

Call For Referral • San Francisco, CA, United States
1 day ago
Job type
  • Full-time
  • Remote
Job description

Machine Learning Research Scientist – Remote | Up to $120 / hr

Mercor is partnering with a leading AI research lab on Project Vesuvius – an initiative aimed at evaluating and enhancing the ability of large language models (LLMs) to generate structured, high‑quality research plans for open‑ended machine learning problems.

About the Role

We are seeking experienced Machine Learning Researchers and PhDs to assess AI‑generated research plans, provide structured feedback, and help improve how advanced models function as brainstorming and planning partners for real‑world ML research. This is a remote, high‑impact opportunity for researchers passionate about advancing AI reasoning, experimentation, and planning capabilities.

Key Responsibilities

  • Evaluate and compare AI‑generated ML research plans for clarity, feasibility, and technical validity.
  • Design and compile machine learning tasks inspired by real‑world research problems and competitions.
  • Draft detailed, executable natural‑language research workflows for model training, experimentation, and validation.
  • Implement and test selected plans using Python within a Docker‑based environment.
  • Assess performance using structured rubrics and provide quantitative and qualitative feedback.

Ideal Qualifications

  • 5+ years of experience in applied machine learning, or a PhD in ML, AI, or a closely related field.
  • Deep understanding of machine learning research methods, experimental design, and evaluation metrics.
  • Strong technical writing and analytical reasoning skills.
  • Experience with benchmarking, reproducibility, or research validation workflows preferred.
  • Ability to deliver high‑quality structured assessments independently and consistently.
  • Fully remote and asynchronous; up to 80 hours per week; immediate onboarding.
  • Compensation & Contract Terms

  • Rate : Up to $140 / hour.
  • Payments : Weekly via Stripe Connect.
  • Structure : Remote, milestone‑based evaluation with flexible scheduling.
  • Application Process

  • Submit your resume or CV highlighting relevant ML research or engineering experience.
  • Complete a short AI‑led interview and brief questionnaire about reproducibility and benchmarking experience.
  • Selected candidates receive onboarding materials and project access within days.
  • PS

    Mercor reviews applications daily. Please complete the interview and onboarding steps to be considered for this opportunity.

    Seniority level

    Mid‑Senior level

    Employment type

    Part‑time

    Job function

    Engineering and Information Technology

    Industries

    Software Development

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