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Machine Learning Engineer at innovative AI platform

Are you a Machine Learning Engineer eager to tackle diverse, unconventional problems in a flexible, part-time, remote role? This is your chance to contribute to cutting-edge AI solutions within an innovative platform, setting your own hours while making a tangible impact. If you thrive on clear structure and measurable outcomes, explore this unique opportunity to shape the future of machine learning.

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Location

Remote

Compensation

$80-$120/hr

Company

Confidential company

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Role overview

Join an innovative AI platform as a Machine Learning Engineer, tackling diverse and unconventional ML problems. This remote, asynchronous, part-time role offers clear structure and measurable outcomes, allowing you to set your own hours while making a significant impact on cutting-edge machine learning solutions.

About the company

innovative AI platform

What you will do

  • Draft detailed natural-language plans and code implementations for machine learning tasks.
  • Convert novel machine learning problems into agent-executable tasks for reinforcement learning environments.
  • Identify failure modes and apply golden patches to LLM-generated trajectories for machine learning tasks.

Who this is a fit for

  • 0-2 years as a Machine Learning Engineer or a PhD in Computer Science (ML coursework required).
  • Proficiency in Python and key ML libraries (XGBoost, Tensorflow, scikit-learn, etc.).
  • Strong experience in data preparation and model training.

Why this role is remarkable

  • Tackle diverse and unconventional machine learning problems in a flexible, part-time setting.
  • Thrive in a remote, asynchronous environment with clear structure and measurable outcomes.
  • Contribute to cutting-edge AI solutions within a forward-thinking platform.
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What happens next?

Jack’s an AI agent for job searching and career coaching. He works for you.

Jill is the AI recruiter working for the company. She recruits from Jack’s network.

If your profile’s a match and Confidential company wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.

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