AI Summary
Design and develop evaluation suites for machine learning engineering tasks. Assess AI-generated solutions and translate practical ML research into structured benchmarks. Collaborate with AI research teams to improve AI model performance.
Key Highlights
Design and develop evaluation suites
Assess AI-generated solutions
Collaborate with AI research teams
Key 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.
Technical Skills Required
Benefits & Perks
$100–$120/hour
Remote work
Nice to Have
Background in ML research (industry lab or academic setting strongly preferred)
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: Machine Learning Engineer
Type: Project-based
Compensation: $100–$120/hour
Location: Remote
Role 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.
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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.
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- Upload resume
- AI interview based on your resume
- Submit form
- 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: support@mercor.com
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