Machine Learning Expert

This is a fully remote position, open to applicants in United States.

📋 Description

• Generate concepts for challenging machine learning engineering assignments within a long-term AI research initiative at a prominent AI laboratory.

• Design tasks that are sufficiently difficult, ensuring that advanced models can succeed in no more than 2 out of 8 attempts.

• Concentrate mainly on inference, evaluation, and systems work rather than intensive model training.

• Develop a balanced combination of tasks suitable for both GPU and CPU-only processing.

• Clearly articulate the reasons each problem presents a challenge for a leading-edge model.

• Primarily contribute ideas; constructing or reviewing the tasks is not necessary.

• Engage in projects that train and enhance AI systems through Mercor's collaborations with top AI laboratories and enterprises.

⛳️ Requirements

• Current or recent experience as an ML research engineer, research scientist, or applied scientist.

• Practical experience in training, fine-tuning, or optimizing models using PyTorch or JAX.

• Extensive knowledge in at least one domain: LLM pretraining, alignment or evaluations; GPU inference and performance; reinforcement learning; or scientific ML.

• Familiarity with relevant GPU inference and performance tools such as vLLM, Triton, CUDA, or profiling, as applicable.

• Capability to elucidate why a problem is challenging for a cutting-edge model.

• A PhD in ML, CS, or physics, or an MSc accompanied by strong research output is advantageous.

• Experience in crafting benchmark or evaluation questions is a plus.

• Publications are considered a bonus.

• Prior contracts with Mercor demonstrating strong performance are desirable.

• Must be able to operate as an independent contractor.

• H1-B and STEM OPT candidates are not accommodated.

🏝️ Benefits

• Fully remote position.

• Flexible schedule, allowing completion at your own pace.

• Weekly payments via Stripe or Wise based on services rendered.

• Project durations may be extended, shortened, or concluded early based on requirements and performance.

• Competitive compensation.

• Collaborate with leading researchers.

• Opportunity to influence the development of next-generation AI systems.

• Up to $800 referral bonus for each successful referral, subject to referral limits.

• Reasonable accommodations available upon request.