Senior Machine Learning Engineer, PitchBook
$170-240k
+ Shared ownership employee stock program + Target annual bonus percentage: 10%
Private equity & venture capital database
Open for applications
Private equity & venture capital database
1001+ employees
Open for applications
$170-240k
+ Shared ownership employee stock program + Target annual bonus percentage: 10%
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 or advanced degree in Computer Science, Mathematics, Data Science, or a related technical field, advanced degree preferred
- 6+ years of experience in software engineering or machine learning engineering, with a strong focus on AI/ML applications in insight generation, summarization, semantic search, and prediction
- Demonstrated expertise in natural language processing (NLP) and machine learning, including hands-on experience with classifiers, transformer models, large language models (LLMs), and widely used ML and data science libraries such as scikit-learn, pandas, numpy, TensorFlow, and PyTorch
- Experience delivering production-grade GenAI or LLM-based systems with measurable business impact
- Familiarity with the LangChain ecosystem, including tools such as LangSmith and LangGraph, and experience using them in production environments is a strong plus
- Deep proficiency in building and maintaining scalable data pipelines and distributed systems using technologies such as Apache Kafka, Airflow, and cloud data platforms like Snowflake
- Strong programming skills in Python and SQL, with working knowledge of additional languages such as Java or Scala considered a plus
- Practical experience with cloud-native development, containerization, and orchestration technologies such as Docker and Kubernetes
- Demonstrated ability to solve complex technical problems, contribute to architectural decisions, and deliver high-performance, reliable solutions
- Excellent communication and collaboration skills, with experience working cross-functionally with product managers, engineers, and data scientists in globally distributed teams
- Experience working in fast-paced, data-driven environments. Prior exposure to fintech or financial data platforms is a strong advantage
- Experience authoring research papers for peer-reviewed AI/ML conferences (e.g., NeurIPS, ICML, ACL) and participating in the broader AI research community is strongly preferred
- Must be authorized to work in the United States without the need for visa sponsorship now or in the future
- 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!
- 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 content
- This role requires deep technical expertise in advanced data analytics and machine learning, as well as a hands-on approach to designing, building, and optimizing ML solutions that power user-facing features on the PitchBook Platform
- You will be deeply involved in the end-to-end development and operationalization of ML models, including their architecture, training, deployment, and ongoing maintenance
- Your focus will span across natural language processing (NLP), generative AI (GenAI), large language models (LLMs), and scalable data systems
- You will be expected to tackle complex technical challenges, contribute to architectural decisions, and collaborate closely with other engineers, data scientists, and product managers to ensure that your work aligns with business goals and AI/ML strategy
- Your contributions will help unlock unique value for PitchBook customers by improving the speed, discoverability, quality, and quantity of insights available on the platform
- This includes developing models that can infer meaning and structure from millions of discrete data sources, and applying ML to enrich our datasets with predictive and generative intelligence
- As a senior engineer, you will take ownership of key technical components and ensure that our systems meet the highest standards of performance, reliability, and security
- Deliver high-impact AI and ML capabilities that drive insight generation on the PitchBook Platform. Ensure your work contributes to broader business goals and is aligned with the team's strategic priorities
- Provide hands-on expertise in designing, building, and deploying AI/ML models and services with a focus on NLP, summarization, semantic search, classification, and prediction. Contribute to the development of scalable, high-performance systems that meet production-grade reliability and efficiency standards
- Support a culture of technical excellence by mentoring peers, sharing knowledge, and participating in code and design reviews. Promote innovation and continuous improvement through collaborative engineering practices
- Build and optimize models that leverage classifiers, transformers, LLMs, and other NLP techniques to generate meaningful insights from structured and unstructured data. Integrate these models into the broader AI/ML infrastructure in collaboration with partner teams
- Collaborate with engineering, product management, and data collection teams to ensure models are informed by high-quality data and support strategic product goals
- Explore and experiment with emerging technologies, methodologies, and tools in the fields of GenAI, NLP, and search. Translate research findings into practical solutions that enhance PitchBook’s AI capabilities
- Contribute to best practices in model transparency, monitoring, evaluation, and compliance. Help maintain high standards of security, data integrity, and responsible AI use across your projects
- Participate in the technical evaluation of candidates and help onboard new team members by contributing to documentation, pairing, and knowledge-sharing practices
- Apply principles from Agile, Lean, and Fast-Flow methodologies to support efficient model development and deployment cycles
- 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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