PitchBook's Machine Learning Engineer is 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.
Requirements
- 2+ year 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
- Experience in transformer-based language models
- Proficient in deep learning frameworks (i.e TensorFlow and PyTorch)
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
Other
- Bachelor’s or advanced degree in Computer Science, Mathematics, Data Science, or a related technical field, advanced degree preferred
- 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
