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Jobs or company...

Machine Learning Scientist - LLMs

  • Full Time, onsite
  • Harnham
  • Washington DC-Baltimore Area, United States of America
Salary undisclosed

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Machine Learning Scientist - LLMs

Washington, DC Area - Hybrid

$180,000-200,000 base salary + benefits

Harnham is partnered with a cutting-edge government contractor in the DC area. They are looking for a data scientist with a strong background in building production-grade LLM / natural language platforms. This person will sit in their AI research team and partner across the business.

THE ROLE

  • You will build machine learning and LLM platforms to support a brand new client portfolio in various government agencies
  • You will report directly into the Head of ML Research and work closely on technical direction
  • Own development of new platforms and help advance existing systems
  • You will implement and design code and build out to production using various advanced machine learning techniques
  • Have the opportunity to work closely with internal and external stakeholders, acting as a thought leader
  • Help in mentoring a fast-growing team

YOUR SKILLS AND EXPERIENCE

The successful Machine Learning Scientist - LLMs will likely have the following skills and experience:

  • MUST BE Clearance eligible (US Citizen)
  • Experience using Python for machine learning and large language model development
  • Commercial experience building novel AI platforms with large datasets preferred
  • Familiarity with advanced machine learning approaches a plus, i.e. deep learning
  • Prior experience leading projects is a plus
  • History of partnering with non-technical stakeholders, ideally in government spaces
  • Spark experience a plus; cloud experience in AWS
  • PhD/MS in Computer Science, Statistics, Engineering or other STEM field

THE BENEFITS

A competitive base salary of $180,000-200,000 + benefits + equity

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | Data Science | Research | Technology | LLMs | Large Language Models | Artificial Intelligence | Federal | Stakeholder Management | Client Facing | Government | Federal