PitchBook Data

Financial Services

MachineLearningEngineer

$125–180k Seattle, Washington, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“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; Find better ways of doing things

Eligibility Requirements

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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