Machine Learning Engineer

Seattle, WA, United States

At PitchBook, 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!

PitchBook’s Data Science and Machine Learning team has a clear mission: leverage cutting-edge machine learning and cloud technologies to automatically research private markets and improve the navigability of our platform. The Machine Learning (ML) 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.

Primary Job Responsibilities:

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 Company Vision: Share our company's values and foster a positive work culture

Participate in Initiatives: Engage in company projects to contribute to overall success

Skills and Qualifications:

Bachelor's/Master's degree in Computer Science, Machine Learning, Statistics, or related fields

2+ years of experience in a similar role in a production environment

Demonstrated experience with natural language processing

Demonstrated experience with Python or other object-oriented programming frameworks

Demonstrated experience in using SQL for data extraction

Strong communication and data presentation skills

Strong problem-solving ability

Ability to communicate complex analysis in a clear, precise, and actionable manner

Experience working closely with software development team(s) is a plus

Experience building scalable systems in production is a plus

Knowledge of financial services, investment, banking, venture capital, or private equity is desired but not required

Benefits + Compensation at PitchBook:

Physical Health

Comprehensive health benefits

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

Subsidized emergency childcare

Dependent Care FSA

Company-wide events

Employee referral bonus program

Quarterly team building events

Financial Health

401k match

Shared ownership employee stock program

Monthly transportation stipend

Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.

Compensation

Annual base salary: $125,100-$170,000

Target annual bonus percentage: 10%

Starting pay will be based on several factors and commensurate with qualifications & experience. We also have a location-based compensation structure; there may be different ranges for candidates by location.

Working Conditions:

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

Life At PB:

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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