Associate Machine Learning Engineer, PitchBook
$110-150k
+ Target annual bonus percentage: 7.5%
More information about location
Private equity & venture capital database
Be an early applicant
Private equity & venture capital database
1001+ employees
Be an early applicant
$110-150k
+ Target annual bonus percentage: 7.5%
More information about location
1001+ employees
Company mission
To provide thousands of global business professionals with comprehensive data on the private and public markets to help them discover and execute opportunities with confidence.
Role
Who you are
- Bachelor’s degree in Computer Science, Machine Learning, Statistics, or related field
- Experience in a similar role in a production environment
- Experience or exposure with natural language processing (NLP)
- Experience or exposure with Python, R, or other relevant programming frameworks
- Experience or exposure 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 a with software development team(s) a plus, but not required
- Financial services, investment, banking, venture capital and/or private equity knowledge, but not required
- 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
What the job involves
- 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 Associate Machine Learning Engineer is responsible for using machine learning, statistical modeling, and Natural Language Processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for the capital markets
- This role requires curiosity and a strong desire to learn
- A strong motivation to succeed is critical and everyone has the opportunity to shape the long-term direction of our team
- Use natural language processing (NLP) and machine learning techniques to create novel views of private industry data
- Analyze and extract features from large amounts of unstructured data, determine most relevant features, and use clustering algorithms to drive insight into the data
- Analyze textual data such as articles and conversations to identify novel signals of private company performance
- Work closely with Product and Engineering teams to establish scalable, efficient, and automated processes for large scale data analyses and models
- Contribute to thought leadership on Data Science and Machine Learning best practices by staying informed of current trends in industry
- Support the vision and values of the company through role modeling and encouraging desired behaviors
- Participate in various company initiatives and projects as requested
Our take
Recognising the need for actionable and extensive intelligence in the private equity sector, PitchBrook was founded in 2007 with the vision to create a resource for comprehensive data, research, and insights spanning the global capital markets.
To address the complexity of these markets, PitchBook has continually expanded its coverage, integrating thousands of datasets and millions of individual insights into its platform. The company's dedication to innovation is evident in the pioneering features and products introduced to surface critical information for its clients.
PitchBook's integration into Morningstar since 2016 has provided a solid foundation for sustained growth and development. The company's commitment to helping clients make informed decisions suggests a future of ongoing evolution and expansion, as it remains at the forefront of providing indispensable resources for navigating the complexities of the global capital markets.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (2 rounds)
Jan 2016
$10m
SERIES B
Sep 2009
$3.8m
SERIES A
Total funding: $13.8m
Company benefits
- Additional medical wellness incentives
- Paid sabbatical program after four years
- Paid parental leave
- Annual educational stipend
- Robut training programs on industry and soft skills
- Employee resource groups
- Company-wide events
- Employee referral bonus program
- Quarterly team building events
- Shared ownership employee stock program
- Monthly transportation stipend
- Comprehensive health benefits
- STD, LTD, AD&D and life insurance
- Ability to apply for tuition reimbursement
- CFA exam stipend
- Employee assistance program
- Generous allotment of vacation days, sick days and volunteer days
- Matching gifts program
- Subsidized emergency childcare
- Dependent Care FSA
- 401k match
Company HQ
Central Business District, Seattle, WA
Leadership
Rod Diedendorf
(President & COO)also a Member of the Advisory Board at USC Wrigley Institute for Environment and Sustainability and Strategic Advisor at MyNeighbour. Previously COO at Archeo and was the CEO of Idearc Media.
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