Machine Learning Researcher (Applied LLMs)

Work set-up: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Experience applying large language models (LLMs) to real-world problems., Strong background in machine learning research and experimentation., Familiarity with current AI/ML literature and techniques., Ability to communicate complex technical concepts clearly..

Key responsibilities:

  • Design and conduct experiments to evaluate ML models.
  • Analyze results and iterate on model architectures and hyperparameters.
  • Stay updated with the latest advancements in LLM research.
  • Collaborate with a distributed team and communicate progress effectively.

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Hop Labs
11 - 50 Employees
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Job description

Hop Labs works with organizations to build and deploy machine learning production systems at scale. Our clients range from startups to Fortune 10, and projects can vary widely – from greenfield LLM generative AI products to autonomous vehicle R&D to building bespoke evaluation frameworks. We are a fully distributed company, working remotely across the United States. While our projects often involve Python, PyTorch, and AWS, we are always ready to use the right tool for the job.

Some quick facts about Hop Labs:

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Detail Oriented
  • Collaboration
  • Communication
  • Problem Solving

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