Machine Learning Engineer – Work From Home

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

• 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.

Must-Have

• 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.

• Hourly contractor
• Paid weekly via Stripe Connect

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