Machine Learning Expert
Posted 1hrs ago
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Job Description
Machine Learning Expert designing difficult inference, evaluation, and systems tasks for Mercor’s frontier AI lab projects. Contributing research ideas to train and enhance advanced AI systems.
Responsibilities:
- Develop ideas for difficult machine learning engineering tasks for a long-horizon AI research project with a leading AI lab
- Design tasks difficult enough to challenge frontier models, generally solvable in no more than 2 of 8 attempts
- Focus primarily on inference, evaluation, and systems work rather than heavy model training
- Create a mix of GPU-based and CPU-only tasks
- Explain clearly why each problem is difficult for a frontier model
- Contribute mainly ideas; building or reviewing tasks is not required
- Work on projects training and enhancing frontier AI systems
Requirements:
- Current or recent role as an ML research engineer, research scientist, or applied scientist
- Hands-on experience personally training, fine-tuning, or optimizing models in PyTorch or JAX
- Deep knowledge of at least one area: LLM pretraining, alignment or evaluations; GPU inference and performance; reinforcement learning; or scientific ML
- Ability to explain why a problem is hard for a frontier model
- Experience with benchmark or evaluation questions is a plus
- PhD in ML, CS, or physics, or an MSc plus strong research output is a plus
- Publications are a plus
- Prior Mercor contracts with strong performance are a plus
- Must not be an H-1B or STEM OPT candidate
- Independent contractor engagement
Benefits:
- Fully remote work
- Flexible own schedule
- Weekly payments via Stripe or Wise
- Competitive pay
- Opportunity to collaborate with leading researchers
- Opportunity to help shape next-generation AI systems
- Referral payments of up to $800 per successful referral, subject to limits
- Reasonable accommodations upon request

















