Machine Learning Expert

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $150 - $200 / hour

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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Logo of Mercor

Mercor

51 - 200 employees

Founded 2023

🔥 Funding within the last year

💰 $350M Series C - Mercor on 2025-10

Mercor is a company for which no descriptive text was provided in the input. Additional information (products, services, target customers, or industry specifics) is needed to create an accurate summary and select appropriate industries.

📋 Description

• Develop ideas for difficult machine learning engineering tasks for a long-horizon AI research project with a leading AI lab • Design tasks challenging enough that frontier models solve them in no more than 2 out of 8 attempts • Focus primarily on inference, evaluation and systems work rather than heavy model training • Create a roughly even mix of GPU and CPU-only tasks • Explain clearly why each problem is difficult for a frontier model • Contribute mainly ideas; building or reviewing the tasks is not required • Work on projects training and enhancing AI systems through Mercor's partnerships with leading AI labs and enterprises

🎯 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 • Experience with relevant GPU inference and performance tools such as vLLM, Triton, CUDA or profiling, where applicable • Ability to explain why a problem is hard for a frontier model • PhD in ML, CS or physics, or an MSc plus strong research output is a nice-to-have • Experience writing benchmark or evaluation questions is a nice-to-have • Publications are a nice-to-have • Prior Mercor contracts with strong performance are a nice-to-have • Must be able to work as an independent contractor • H1-B and STEM OPT candidates are not supported

🏖️ Benefits

• Fully remote role • Flexible schedule / can be completed on your own schedule • Weekly payments via Stripe or Wise based on services rendered • Projects may be extended, shortened, or concluded early depending on needs and performance • Competitive pay • Collaboration with leading researchers • Opportunity to help shape the next generation of AI systems • Up to $800 referral reward for each successful referral, subject to referral limits • Reasonable accommodations available upon request

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