Machine Learning Engineer

The Johns Hopkins University Applied Physics Laboratory LLC
Washington, United States of America
7 days ago

Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 195K

Job location

Remote
Washington, United States of America

Tech stack

Artificial Intelligence
Python
Machine Learning
TensorFlow
PyTorch
Machine Learning Operations

Job description

  • Train and evaluate AI models in Machine Learning Engineering.
  • Create tasks and deliverables based on real-world scenarios.
  • Provide domain-specific feedback to advance frontier AI research.

Projects vary in scope and duration, with typical commitments ranging from 15 to 30 hours per week.

Requirements

  • Professional experience in machine learning model development, Python, and ML frameworks (PyTorch/TensorFlow).
  • Experience in model deployment and MLOps.
  • Strong communication skills.
  • Ability to work independently in a remote environment.

Benefits & conditions

Hourly rates range from $70 to $250, depending on the project and your expertise. Eligibility

Once you complete your profile and pass our AI interview, you will be eligible for relevant projects as they become available. We match experts to opportunities on a rolling basis.

Stay connected and be invited to interview for opportunities that align with your schedule and interests while earning competitive rates working remotely.

About the company

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