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ML Research Scientist - PhD

$110 - $145 per hour

Mercor

Toronto, ON
  • Remote job

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .

Position: ML Research PhD Experts (ICML / NeurIPS / ICLR Publications)

Type: Contract

Compensation: $110–$145/hour

Location: Remote

Role Responsibilities

  • Evaluate the accuracy and depth of AI-generated content to strengthen reasoning and rigor in model outputs .
  • Review complex machine learning research for alignment with domain principles and methodologies.
  • Provide clear, structured feedback to AI research teams to improve training data quality and downstream performance.
  • Develop evaluation rubrics and benchmarks for assessing AI-generated tasks and solutions.
  • Collaborate with subject matter experts to ensure consistency, relevance, and coverage across datasets.
  • Work independently and asynchronously to meet deadlines while improving AI model performance .

Qualifications

Must-Have

  • PhD in Machine Learning , Computer Science , AI , or a closely related field.
  • Published at least one main conference paper at ICML, NeurIPS, or ICLR .
  • Strong preference for candidates with 2+ publications at these venues.
  • Demonstrated experience conducting original ML research .

Preferred

  • Expertise in Reinforcement Learning (RL) .
  • Experience with Meta-Learning .
  • Knowledge of Recursive Self-Improvement .
  • Familiarity with AI for Science (e.g., weather forecasting, protein modeling, scientific discovery).

Start Date

  • Urgent ; initial data/results expected Monday / Tuesday 27th July .

Resources & Support

  • For details about the interview process and platform information, please check:
  • For any help or support, reach out to:

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Vacancy posted more than 2 months ago
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