PitchBook Data
Financial Services
Sr.MachineLearningEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. Machine Learning Engineer at PitchBook Data. Skills: Machine Learning, Natural Language Processing, Generative AI, Large Language Models. Deliver AI and ML capabilities. Drive insight generation”
What You'll Achieve.
Deepen positive impact; Create excellent customer experiences; Unlock unique value; Improve speed of insights; Improve discoverability of insights; Improve quality of insights; Improve quantity of insights
Industry & Context.
Problem solvers; Tackle complex technical challenges; Solve complex technical problems
Authorized to work in United States
What They're Looking For.
Must Have
6+ years software engineering, 6+ years machine learning engineering, Bachelor's degree in Computer Science, Bachelor's degree in Mathematics, Bachelor's degree in Data Science, Bachelor's degree in related technical field, Hands-on experience with classifiers, Hands-on experience with transformer models, Hands-on experience with large language models, Hands-on experience with NLP, Hands-on experience with ML, Hands-on experience with insight generation, Hands-on experience with summarization, Hands-on experience with semantic search, Hands-on experience with prediction, Experience with Python, Experience with SQL, Experience with cloud-native development, Experience with containerization, Experience with orchestration technologies, Experience with Docker, Experience with Kubernetes, Demonstrated ability to solve complex technical problems, Demonstrated ability to contribute to architectural decisions, Demonstrated ability to deliver high-performance solutions, Demonstrated ability to deliver reliable solutions, Experience working cross-functionally, Experience working with product managers, Experience working with engineers, Experience working with data scientists, Experience working in globally distributed teams, Experience working in fast-paced environments, Experience working in data-driven environments, Authorized to work in United States
Nice to Have
Advanced degree preferred, Working knowledge of Java, Working knowledge of Scala, Prior exposure to fintech, Prior exposure to financial data platforms, Experience authoring research papers, Participating in AI research community
What You'll Do.
Deliver AI and ML capabilities
Drive insight generation
Contribute to business goals
Align with strategic priorities
Provide expertise in designing ML models
Provide expertise in building ML models
Provide expertise in deploying ML models
Focus on summarization
Focus on semantic search
Focus on classification
Contribute to scalable systems
Contribute to high-performance systems
Meet production-grade standards
Support technical excellence
Participate in code reviews
Participate in design reviews
Promote continuous improvement
Build models using classifiers
Build models using transformers
Build models using LLMs
Build models using NLP techniques
Generate meaningful insights
Integrate models into AI/ML infrastructure
Collaborate with partner teams
Collaborate with engineering teams
Collaborate with product management teams
Collaborate with data collection teams
Ensure models informed by data
Support strategic product goals
Explore emerging technologies
Experiment with methodologies
Experiment with tools
Translate research findings
Enhance AI capabilities
Contribute to best practices
Maintain model transparency
Maintain model monitoring
Maintain model evaluation
Help maintain security standards
Help maintain data integrity
Help maintain responsible AI use
Participate in technical evaluation
Help onboard new team members
Contribute to documentation
Contribute to pairing
Contribute to knowledge-sharing
Apply Agile principles
Apply Lean principles
Apply Fast-Flow methodologies
Support efficient model development
Support efficient model deployment
Support company vision
Support company values
Participate in company initiatives
Participate in company projects
How You'll Work.
Team & Collaboration
Cross-functional teams; Partner teams; Engineering teams; Product management teams; Data collection teams; Globally distributed teams
Communication Scope
Cross-functional collaboration
Process & Methodology
Agile, Lean, Fast-Flow
Full Job Description
At PitchBook, 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, 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! As a Senior Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook’s wealth of structured and unstructured data including reports, news, and other textual c
Applying for this Sr. Machine Learning Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Greenhouse
- Create a Greenhouse profile before applying — it saves time across multiple applications.
- Upload your resume as a PDF; the parser handles it better than Word.
- Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
- Enable email notifications to track application status in real time.
ANONYMOUS · UNFILTERED
What do employees actually say about PitchBook Data?
Real rants from real employees. Read before you apply.