Back to jobs

ML RESEARCH SCIENTIST - PHD

mercor
Part-timemid€110-145/hour

Job description

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: https://talent.docs.mercor.com/welcome • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Skills

ICMLNeurIPSICLRReinforcement LearningMeta-LearningRecursive Self-ImprovementAI for Science