Sr. Machine Learning Engineer

At PitchBook, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company. 

Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there’s going to be some ambiguity along the way, but we excel when we challenge ourselves. We’re willing to take risks, fail fast, and do it all over again in the pursuit of excellence.

If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you. 

 

About the Role:

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. 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.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! 

PitchBook’s Sr. Machine Learning Engineer is responsible for using machine learning, statistical modeling, and natural language processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for the capital markets. This role will also serve as a resource and mentor for junior members of the team. A strong motivation to succeed is critical, and everyone has the opportunity to shape the long-term direction of our team.

 

Primary Job Responsibilities:

• Use natural language processing (NLP) and machine learning techniques to create novel views of private industry data
• Analyze and extract features from large amounts of unstructured data, determine the most relevant features, and use clustering algorithms to drive insight into the data
• Analyze textual data such as articles and conversations to identify novel signals of private company performance
• Work closely with Product and Engineering teams to establish scalable, efficient, and automated processes for large scale data analyses and models
• Drive the thought leadership on data science and machine learning best practices by staying informed of current trends in industry
• Support the vision and values of the company through role modeling and encouraging desired behaviors 
• Participate in various company initiatives and projects as requested 

 

Skills and Qualifications:

• Bachelor’s degree in Computer Science, Machine Learning, Statistics, or related field
• 6+ years of experience leveraging the above mentioned skills in a production environment
• Demonstrated experience with natural language processing
• Demonstrated experience with Python, R, or other relevant programming frameworks
• Demonstrated experience in using SQL for data extraction
• Strong communication and data presentation skills
• Strong problem solving ability
• Ability to work autonomously and come up with solutions to your own problems and problems of others
• Ability to communicate complex analysis in a clear, precise, and actionable manner
• Experience working closely with a software development team(s) is a plus
• Financial services, investment banking, venture capital, and/or private equity knowledge preferred but not required

 

Benefits + Compensation at PitchBook:

Physical Health

• Comprehensive health benefits
• Additional medical wellness incentives
• STD, LTD, AD&D, and life insurance

 

Emotional Health

• Paid sabbatical program after four years