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
$ 195KJob 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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