Machine Learning Engineer – Remote

Overview  Mercor is hiring a Machine Learning Engineer. This is a remote, part-time role.
Position:  Machine Learning Engineer
Type:  Hourly contractor
Compensation:  $14.00/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   Strong background in machine learning, deep learning, or reinforcement learning.
Proficient in Python and familiar with frameworks such as PyTorch, Tensor Flow, 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 & Application Process   Base pay range: $14.00/hr - $14.00/hr
Application process (takes 20–30 minutes 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 the Mercor documentation.
Notes  PS:
Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Location and other job listings mentioned below are not part of this refined description and are omitted to maintain focus on this role.

#J-18808-Ljbffr