PitchBook Data
Financial Services
MachineLearningEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“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; Find better ways of doing things
Limited corporate travel
What They're Looking For.
Must Have
2+ years of experience in software engineering, 2+ years of experience in 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, Demonstrated expertise in natural language processing, Demonstrated expertise in machine learning, Hands-on experience with classifiers, Hands-on experience with transformer models, Hands-on experience with large language models, Hands-on experience with ML libraries, Hands-on experience with data science libraries, Experience delivering production-grade GenAI, Experience with Python, Experience with SQL, Ability to solve complex technical problems, Ability to contribute to architectural decisions, Ability to deliver high-performance solutions, Ability to deliver reliable solutions, Experience working cross-functionally, Experience working in fast-paced environments, Experience working in data-driven environments, Authorized to work in the United States
Nice to Have
Advanced degrees preferred, Working knowledge of Java, Working knowledge of Scala, Kubernetes experience, Fintech experience, Financial data platforms experience, Experience authoring research papers, Participation in broader AI research community
What You'll Do.
Deliver AI and ML capabilities
Drive insight generation
Develop scalable systems
Develop high-performance systems
Meet production-grade standards
Participate in code reviews
Participate in design reviews
Provide guidance to junior engineers
Contribute to team best practices
Build models with classifiers
Build models with transformers
Build models with LLMs
Build models with NLP techniques
Generate meaningful insights
Integrate models into infrastructure
Collaborate with partner teams
Collaborate with engineering teams
Collaborate with product management
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 model transparency
Contribute to model monitoring
Contribute to model evaluation
Contribute to compliance
Maintain security standards
Maintain data integrity
Maintain responsible AI use
Participate in technical evaluation
Onboard new team members
Contribute to documentation
Apply Agile principles
Apply Lean principles
Apply Fast-Flow principles
Support efficient model development
Support efficient model deployment
Support company vision
Support company values
Role model desired behaviors
Encourage desired behaviors
Participate in company initiatives
Participate in projects
How You'll Work.
Team & Collaboration
Cross-functional teams; Partner teams; Globally distributed teams
Communication Scope
Technical communication
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 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 content.
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