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 Expert Type: Contract Compensation: $150–$200/hour Location: Remote Role Responsibilities Develop innovative plans for challenging machine learning engineering tasks in a long-horizon AI research project. Design tasks that challenge frontier models, ensuring solutions in no more than 2 out of 8 attempts. Focus on inference, evaluation, and systems work over heavy model training. Balance tasks between GPU and CPU . Clearly articulate the complexity of problems for frontier models. Contribute ideas without the need to build or review tasks personally. Qualifications Must-Have Current or recent role as an ML research engineer , research scientist , or applied scientist . Experience in training, fine-tuning, or optimizing models in PyTorch or JAX . Deep knowledge in one of the following: LLMs , GPU inference and performance , Reinforcement learning (RL) , or Scientific ML . Ability to explain the complexity of problems for frontier models. Preferred Experience writing benchmarks or evaluation questions. PhD in ML , CS , or physics , or an MSc with strong research output. Publications. Prior Mercor contracts with strong performance. 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 For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
