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Applied ML Engineer

Role overview

Qualifications

  • 5+ years of experience in delivering and supporting production AI/ML products
  • An advanced degree in Machine Learning, Theoretical Computer Science, Mathematics, or Physics, or equivalent experience
  • Excellent decision-making skills regarding large-scale ML system design and maintenance
  • Strong awareness of current trends and progress in machine learning research

Responsibilities

  • Ship and support AI-native products from concept to production
  • Apply sound judgment on building and maintaining high-performing production ML systems
  • Stay deeply informed on the latest machine learning research and developments
  • Collaborate with a team of strong engineers; serve as a mentor and resource for other high-potential ML engineers

Key facts

Other skills

  • Mathematics
  • Decision Making
  • Collaboration
  • Mentorship
  • Problem Solving

About the company

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Stealth Startup

Unknown

Company details

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Job description

A bit about the Founder: Thejo, is a multiple-time founder who previously built Airbase (acquired by Paylocity for ~$400M) and Automatic (YC S11, acquired by SiriusXM for $115M). He has since started his own venture studio, where he is incubating a couple of companies and building the initial teams.

About the Role
We are looking for an Applied ML Engineer! We are building next-generation AI-native products, and seeking talented engineers passionate about machine learning and making an impact at an early-stage company.

Responsibilities

  • Ship and support AI-native products from concept to production.

  • Apply sound judgment on building and maintaining high-performing production ML systems.

  • Stay deeply informed on the latest machine learning research and developments.

  • Collaborate with a team of strong engineers; serve as a mentor and resource for other high-potential ML engineers.

Skills & Experience Needed

  • 5+ years of experience in delivering and supporting production AI/ML products.

  • An advanced degree in Machine Learning, Theoretical Computer Science, Mathematics, or Physics, or equivalent experience evidenced by meaningful contributions to open-source AI/ML projects or the creation of successful AI products.

  • Excellent decision-making skills regarding large-scale ML system design and maintenance.

  • Strong awareness of current trends and progress in machine learning research.

  • A drive to want to work with and learn from, eager to help shape a high-caliber engineering team.

  • A proven track record with companies known for strong engineering cultures, including meaningful startup experience.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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