PitchBook Data

Financial Services

Sr.MachineLearningEngineer

$170–240k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Financial Services
Problems you'll solve

Problem solvers; Tackle complex technical challenges; Solve complex technical problems

Eligibility Requirements

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

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