Machine Learning Engineer Associate Jobs in Seattle, WA

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.

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!

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. This role requires a strong desire to learn and deliver value through scalable machine learning systems. A strong motivation to succeed is critical and everyone has the opportunity to shape the long‑term direction of our team.

• 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

• Bachelor’s or advanced degree in Computer Science, Mathematics, Data Science, or a related technical field, advanced degree preferred
• 2+ years 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
• Experience using complex SQL queries for data extraction and transformation
• Experience in transformer‑based language models
• Proficiency in deep learning frameworks (e.g., TensorFlow and PyTorch)
• 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

Physical Health

• Additional medical wellness incentives
• STD, LTD, AD&D, and life insurance

Emotional Health

• Paid sabbatical program after four years
• Paid family and paternity leave
• Annual educational stipend
• Ability to apply for tuition reimbursement
• CFA exam stipend
• Robust training programs on industry and soft skills
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days

Social Health

• Matching gifts program
• Employee resource groups
• Dependent Care FSA
• Employee referral bonus program
• Quarterly team building events
• Shared ownership employee stock program
• Monthly transportation stipend

Benefits and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.

• Annual base salary: $125,000-$180,000
• Target annual bonus percentage: 10%

At the heart of our company is a belief in the power of in‑person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an ongoing basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are consistently recognized as a Best Place to Work and our culture is at the heart of our success. It’s our fundamental belief that people do and create great things and that people are the cornerstone of prosperity. We believe that proactively seeking out different points of view, listening to others, learning, and reflecting on what we’ve heard creates a sense of belonging within PitchBook and strengthens the PitchBook community.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

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