<div>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. </div>  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 Senior Machine Learning Engineer (MLE) on the AI &amp; 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.  You will be expected to provide mentorship, technical guidance, and thought leadership within the team and the broader AI/ML organization. While you will not have direct management responsibilities, you will contribute to the growth of your peers by supporting onboarding efforts, leading by example, and participating in code and design reviews. You will play a key role in resolving complex technical challenges and ensuring engineering efforts are aligned with broader business and product goals. In addition, you will work closely with cross-functional stakeholders, including product managers, engineering leaders, and subject matter experts, to translate business needs into scalable AI/ML solutions. Your ability to communicate effectively, collaborate across teams, and uphold a high standard of technical excellence will help foster a culture of innovation, learning, and inclusion.  In addition to driving product impact, this role offers an opportunity to shape PitchBook’s growing presence and technical reputation in the AI and ML space. We are looking for individuals who are active contributors to the broader AI community through peer-reviewed research, technical publications, or open-source initiatives. Candidates who have authored conference papers or patents and who are excited to explore the frontiers of generative AI, LLMs, and applied NLP will be well-positioned to help us both advance our internal capabilities and deepen trust with our customers through thought leadership.    Primary Job Responsibilities: <ul> <li>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 teams strategic priorities</li> <li>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</li> <li>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</li> <li>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</li> <li>Collaborate with engineering, product management, and data collection teams to ensure models are informed by high-quality data and support strategic product goals</li> <li>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</li> <li>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</li> <li>Participate in the technical evaluation of candidates and help onboard new team members by contributing to documentation, pairing, and knowledge-sharing practices</li> <li>Apply principles from Agile, Lean, and Fast-Flow methodologies to support efficient model development and deployment cycles</li> <li>Demonstrate behaviors that reflect PitchBook’s values and commitment to innovation, collaboration, and impact. Engage in company-wide initiatives and support a positive, inclusive team culture. </li> <li>Support the vision and values of the company through role modeling and encouraging desired behaviors </li> <li>Participate in various company initiatives and projects as requested </li> </ul>   Skills and Qualifications: <ul> <li>Bachelor’s, Master’s, or PhD in Computer Science, Mathematics, Data Science, or a related technical field</li> <li>8+ 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</li> <li>Proven 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</li> <li>Experience delivering production-grade GenAI or LLM-based systems with measurable business impact</li> <li>Familiarity with the LangChain ecosystem, including tools such as LangSmith and LangGraph, and experience using them in production environments is a strong plus</li> <li>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</li> <li>Strong programming skills in Python and SQL, with working knowledge of additional languages such as Java or Scala considered a plus</li> <li>Practical experience with cloud-native development, containerization, and orchestration technologies such as Docker and Kubernetes</li> <li>Demonstrated ability to solve complex technical problems, contribute to architectural decisions, and deliver high-performance, reliable solutions</li> <li>Excellent communication and collaboration skills, with experience working cross-functionally with product managers, engineers, and data scientists in globally distributed teams</li> <li>Experience working in fast-paced, data-driven environments. Prior exposure to fintech or financial data platforms is a strong advantage</li> <li>Demonstrated 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. We are looking for candidates who can contribute to PitchBook’s growing technical leadership in AI, help us advance the field through publication and experimentation, and enhance our reputation with customers and the AI community at large</li> </ul>   Benefits + Compensation at PitchBook: Physical Health <ul> <li>Comprehensive health benefits</li> <li>Additional medical wellness incentives</li> <li>STD, LTD, AD&amp;D, and life insurance</li> </ul>   Emotional Health <ul> <li>Paid sabbatical program after four years</li> <li>Paid family and paternity leave</li> <li>Annual educational stipend</li> <li>Ability to apply for tuition reimbursement</li> <li>CFA exam stipend</li> <li>Robust training programs on industry and soft skills</li> <li>Employee assistance program</li> <li>Generous allotment of vacation days, sick days, and volunteer days</li> </ul>   Social Health  <ul> <li>Matching gifts program</li> <li>Employee resource groups</li> <li>Subsidized emergency childcare</li> <li>Dependent Care FSA</li> <li>Company-wide events</li> <li>Employee referral bonus program</li> <li>Quarterly team building events</li> </ul>   Financial Health  <ul> <li>401k match</li> <li>Shared ownership employee stock program</li> <li>Monthly transportation stipend</li> </ul>   *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 <ul> <li>Annual base salary: $180,000-$240,000</li> <li>Target annual bonus percentage: 10%</li> </ul>   Working Conditions: 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 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.   #LI-TK1 #LI-Onsite

PitchBook

Sr. Machine Learning Engineer

PitchBook

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