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: For any help or support, reach out to: PS: Our team reviews applications daily.

Please complete your AI interview and application steps to be considered for this chance.

📌 ML Research Engineer - PyTorch Expert (Toronto)
🏢 Mercor
📍 Toronto