Machine Learning Engineer

1 week ago

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

At PitchBook, we're always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. 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.

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 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're looking for a skilled Machine Learning Engineer to join our Data Science and Machine Learning team. The successful candidate will be responsible for using machine learning and natural language processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for our users.

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 Company Vision: Share our company's values and foster a positive work culture
Participate in Initiatives: Engage in company projects to contribute to overall success

Skills and Qualifications:

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
Strong communication and data presentation skills
Strong problem-solving ability
Ability to communicate complex analysis in a clear, precise, and actionable manner
Experience working closely with software

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