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pitchbookdata

26 days ago

Machine Learning Engineer

Onsite · Seattle, Washington, United States

pythonsqldockerkubernetesjavakafkapytorchtensorflow product development

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AI TL;DR

Join PitchBook as a Machine Learning Engineer to develop AI-powered features that enhance customer insights. Collaborate with a diverse team to tackle complex challenges in machine learning and natural language processing.

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  1. What would you ship in the first month as Machine Learning Engineer at pitchbookdata?
  2. Which tradeoff in the description would you ask about first?
  3. How do you explain a production incident to this team?
  4. What would you measure in the first two weeks?
  5. Which part of your last project maps to this stack?

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Job description

Join PitchBook as a Machine Learning Engineer to develop AI-powered features that enhance customer insights. Collaborate with a diverse team to tackle complex challenges in machine learning and natural language processing.

Details

  • Seattle, Washington, United States, work from office
  • 2+ years of experience in software engineering or machine learning engineering
  • Must be authorized to work in the United States without the need for visa sponsorship
  • Skills: python, sql, docker, kubernetes, java, kafka, pytorch, tensorflow

The work

  • Deliver AI and ML capabilities that drive insight generation on the PitchBook Platform
  • Design, build, and deploy AI/ML models with a focus on NLP and prediction
  • Collaborate with engineering and product management teams to ensure high-quality data
  • Explore emerging technologies in GenAI and NLP to enhance PitchBook’s AI capabilities