Machine Learning Research Scientist

Mercor; Remote; USD 80,000 - 100,000; Part time

Job summary

A leading AI research firm is seeking a Machine Learning Engineer to design evaluation suites and collaborate with research teams. This remote role requires over 3 years of experience in machine learning engineering with a focus on model development and experimentation. Candidates should possess strong skills in reasoning about ML systems and clear communication. Compensation ranges from $100 to $120 per hour, making it an attractive opportunity for experienced professionals.

Qualifications

• 3+ years of experience in machine learning engineering or applied ML research.
• Hands-on experience with model development, experimentation, and evaluation.
• Strong ability to reason about ML system design choices and tradeoffs.

Responsibilities

• Design and develop detailed evaluation suites for machine learning engineering tasks.
• Assess AI-generated solutions in areas like model training, debugging, optimization, and experimentation.
• Collaborate with AI research teams to ensure evaluation suites reflect real-world engineering tasks.

Skills

Machine learning engineering

Applied ML research

Model development

Experimentation

Evaluation

Technical writing

Attention to detail

Job description

Overview

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: Machine Learning Engineer

Type: Project-based

Compensation: $100–$120/hour

Location: Remote

Responsibilities

• Design and develop detailed evaluation suites for machine learning engineering tasks.
• Assess AI-generated solutions in areas like model training, debugging, optimization, and experimentation.
• Translate practical ML research and engineering workflows into structured benchmarks for frontier models.
• Work independently and asynchronously to meet deadlines while improving AI model performance.
• Collaborate with AI research teams to ensure evaluation suites reflect real-world engineering tasks.

Qualifications

Must-Have

• 3+ years of experience in machine learning engineering or applied ML research.
• Hands-on experience with model development, experimentation, and evaluation.
• Background in ML research (industry lab or academic setting strongly preferred).
• Strong ability to reason about ML system design choices and tradeoffs.
• Clear written communication and high attention to technical detail.

Application Process

Takes 20–30 mins to complete

• Upload resume
• AI interview based on your resume
• Submit form

Resources & Support

• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
• For any help or support, reach out to: [e-mail]

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