Machine Learning Engineer

4 weeks ago


Seattle, Washington, United States PitchBook Full time
About the Role

We are seeking a highly skilled Machine Learning Engineer to join our Product and Engineering team at PitchBook. As a key member of our team, you will be responsible for leveraging cutting-edge machine learning and cloud technologies to automatically research private markets and improve the navigability of our platform.

The ideal candidate will have a strong background in machine learning, natural language processing, and software development. You will be working closely with our Product and Engineering teams to automate processes for large-scale data, improving data management and analysis.

We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

Key Responsibilities:

  • Apply NLP and Machine Learning techniques to create novel views of private industry data, enhancing decision-making and insights
  • Extract insights from textual data, such as articles and conversations, to identify unique signals of private company performance, aiding market trend prediction
  • Collaborate efficiently with Product and Engineering teams to automate processes for large-scale data, improving data management and analysis
  • Stay informed and lead in industry trends in Data Science and ML, actively contributing to the development of best practices and thought leadership
  • Support company vision and foster a positive work culture
  • Participate in company projects to contribute to overall success

Requirements:

  • Bachelor's/Master's degree in Computer Science, Machine Learning, Statistics, or related fields
  • 2+ years of experience building predictive models in a production environment
  • 2+ years of demonstrated experience with natural language processing (NLP)
  • 2+ years of demonstrated experience with Python or other object-oriented programming frameworks
  • Demonstrate experience using complex SQL queries for data extraction and transformation

Benefits and Compensation:

  • Annual base salary: $125,100-$164,000
  • Target annual bonus percentage: 10%

Working Conditions:

We believe our business and our culture are strongest when we work together in person. We also know that it's helpful to have some flexibility to work remotely. Most roles work in the office 3+ days/week, and some are expected to work in the office 4-5 days/week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.



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