Machine Learning Engineer

About The Job

Mercor

Benchmark

General Catalyst

Peter Thiel

Adam D'Angelo

Larry Summers

Jack Dorsey

Position:

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

• Strong background in machine learning, deep learning, or reinforcement learning.
• Proficient in Python and familiar with frameworks such as PyTorch, TensorFlow, or JAX.
• Understanding of training infrastructure, including distributed training, GPUs/TPUs, and data pipeline optimization.
• Experience with MLOps tools (e.g., Weights & Biases, MLflow, Docker, Kubernetes, or Airflow).
• Experience designing custom architectures or adapting LLMs, diffusion models, or transformer-based systems.
  

Compensation & Legal

• Hourly contractor
• Paid weekly via Stripe Connect
  

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/welcome
• For any help or support, reach out to: support@mercor.com