Machine Learning Engineer

At Pitch Book, a Morningstar company, 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, Pitch Book is the place for you.

About the Role

As a member of the Product and Engineering team at Pitch Book, 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!

Pitch Book’s Machine Learning Engineer is responsible for using machine learning and natural language processing (NLP) to collect a high-volume of data for the Pitch Book Platform and surface insights for our users. This role requires a strong desire to learn and deliver value through scalable machine learning systems. A strong motivation to succeed is critical and everyone has the opportunity to shape the long‑term direction of our team.

Primary

Job Responsibilities

• Apply NLP and Machine Learning:
Utilize NLP and ML techniques to create novel views of private industry data, enhancing decision‑making and insights

• Extract Insights from Textual Data:
Analyze unstructured data such as articles and conversations to identify unique signals of private company performance, aiding market trend prediction

• Collaborate Efficiently:
Partner with Product and Engineering teams to automate processes for large‑scale data, improving data management and analysis

• Stay Informed and Lead:
Stay updated on industry trends in Data Science and ML, actively contributing to the development of best practices and thought leadership

• 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 or advanced degree in Computer Science, Mathematics, Data Science, or a related technical field, advanced degree preferred

• 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

• Experience using complex SQL queries for data extraction and transformation

• Experience in transformer‑based language models

• Proficiency in deep learning frameworks (e.g., Tensor Flow and PyTorch)

• Strong communication and data presentation skills

• Strong problem‑solving ability

• Ability to communicate complex analysis in a clear, precise, and actionable manner

• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at Pitch Book

Physical Health

• Additional medical wellness incentives

• STD, LTD, AD&D, and life insurance

Emotional Health

• Paid sabbatical program after four years

• Paid family and paternity leave

• Annual educational stipend

• Ability to apply…