Position: Machine Learning Engineer

Type: Contract Compensation: $14/hour Location: Remote 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.
• Proficiency in Python and familiarity with frameworks such as PyTorch, TensorFlow, or JAX.
• Understanding of training infrastructure, including distributed training, GPUs/TPUs, and data pipeline optimization.
• Experience with end-to-end ML systems, from preprocessing and feature extraction to training, evaluation, and deployment.
• Comfort with MLOps tools (e.g., Weights & Biases, MLflow, Docker, Kubernetes, or Airflow).

Preferred

• Experience designing custom architectures or adapting LLMs, diffusion models, or transformer-based systems.
• Critical thinking about model performance, generalization, and bias, and ability to measure results through data-driven experimentation.
• Curiosity about AI agents and how models can simulate human-like reasoning, problem-solving, and collaboration.

Compensation & Legal

• Weekly Bonus of $500 - $1000 per 5 tasks created.

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

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