Remote Machine Learning Engineer - AI Focus

About the Role

We're hiring a Remote Machine Learning Engineer to join our innovative team at Mercor. As a Machine Learning Engineer, you'll play a pivotal role in designing and implementing scalable ML pipelines that enhance model training and evaluation. This position offers the flexibility of remote work, allowing you to contribute to cutting-edge AI research from anywhere.

What You'll Do

• 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.

Requirements

• Strong background in machine learning, deep learning, or reinforcement learning.
• Proficiency in Python and familiarity with 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).
• Experience designing custom architectures or adapting LLMs, diffusion models, or transformer-based systems.

Nice to Have

• Experience with cloud platforms such as AWS or Google Cloud.
• Familiarity with Agile methodologies.
• Previous experience in a remote work environment.

What We Offer

• Competitive compensation at $14/hour, translating to an estimated annual salary of $29,120.
• Weekly bonus of $500-$1000 based on performance.
• Flexible remote work arrangements.
• Access to exclusive AI research and development projects.
• Supportive team environment with daily application reviews.