Machine Learning Engineer

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:

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 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.

Compensation & Legal

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

Application Process (Takes 20–30 mins to complete)

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