ML Engineer - Fully Remote

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 Engineer

Type : Hourly contractor

Compensation : $14 / hour

Location : Remote

Commitment : 20–40 hours / week

Role Responsibilities

• Design and implement scalable ML pipelines for model training, evaluation, and continuous improvement.
• Build and fine-tune deep learning models for reasoning, code generation, and real-world decision-making.
• Collaborate with data scientists to collect and preprocess training data, ensuring quality and representativeness.
• Develop benchmarking tools that test models across reasoning, accuracy, and speed dimensions.
• Implement reinforcement learning loops and self-improvement mechanisms for agent training.
• Work with systems engineers to optimize inference speed, memory efficiency, and hardware utilization.

Qualifications

Must-Have

Compensation & Legal

Application Process (Takes 20–30 mins to complete)

Resources & Support

PS : Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Skills Required

Airflow, Machine Learning, Jax, reinforcement learning, Deep Learning, Tensorflow, MLops, Pytorch, Docker, Python, Kubernetes