AI Summary
Mercor is seeking a Machine Learning Engineer to design and implement scalable ML pipelines, build and fine-tune deep learning models, and collaborate with data scientists to collect and preprocess training data.
Key Highlights
Design and implement scalable ML pipelines
Build and fine-tune deep learning models
Collaborate with data scientists
Technical Skills Required
Benefits & Perks
$14/hour
Weekly Bonus of $500 - $1000 per 5 tasks created
Remote work
Job Description
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.
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).
- 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.
- Weekly Bonus of $500 - $1000 per 5 tasks created.
- Upload resume
- AI interview based on your resume
- Submit form
- 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
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