PitchBook
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At PitchBook, a Morningstar company, we innovate, evolve, and invest in ourselves to bring out the best in everyone. We are deeply collaborative and thrive on excitement, energy, and fun.
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.
If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.
Role Overview
As a Senior Machine Learning Engineer 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. Primary Responsibilities
Deliver high-impact AI and ML capabilities that drive insight generation on the PitchBook Platform. Design, build, and deploy AI/ML models and services with a focus on NLP, summarization, semantic search, classification, and prediction. Mentor peers, share knowledge, and participate in code and design reviews to promote technical excellence. Build and optimize models that leverage classifiers, transformers, LLMs, and other NLP techniques to generate meaningful insights from structured and unstructured data. 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 GenAI, NLP, and search, translating research findings into practical solutions. Contribute to best practices in model transparency, monitoring, evaluation, and compliance, maintaining high standards of security, data integrity, and responsible AI use. 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. Qualifications
Bachelor’s or advanced degree in Computer Science, Mathematics, Data Science, or related technical field; advanced degree preferred. 6+ years of experience in software engineering or machine learning engineering focused on insight generation and NLP. Expertise in NLP and ML, including classifiers, transformer models, LLMs, and 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 LangChain ecosystem (LangSmith, LangGraph) and production use. Deep proficiency in building scalable data pipelines and distributed systems using Apache Kafka, Airflow, and cloud data platforms like Snowflake. Strong programming skills in Python and SQL; knowledge of Java or Scala considered a plus. Experience with cloud-native development, containerization, and orchestration technologies such as Docker and Kubernetes. Excellent communication and collaboration skills with cross-functional teams in globally distributed environments. Prior exposure to fintech or financial data platforms is a strong advantage. Must be authorized to work in the United States without visa sponsorship now or in the future. Benefits
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, tuition reimbursement, CFA exam stipend, robust training programs on industry and soft skills, employee assistance program, generous 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. Compensation
Annual base salary: $170,000-$240,000. Target annual bonus percentage: 10%. Working Conditions
This role is expected to be in the office 5 days a week. 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.
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As a Senior Machine Learning Engineer 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. Primary Responsibilities
Deliver high-impact AI and ML capabilities that drive insight generation on the PitchBook Platform. Design, build, and deploy AI/ML models and services with a focus on NLP, summarization, semantic search, classification, and prediction. Mentor peers, share knowledge, and participate in code and design reviews to promote technical excellence. Build and optimize models that leverage classifiers, transformers, LLMs, and other NLP techniques to generate meaningful insights from structured and unstructured data. 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 GenAI, NLP, and search, translating research findings into practical solutions. Contribute to best practices in model transparency, monitoring, evaluation, and compliance, maintaining high standards of security, data integrity, and responsible AI use. 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. Qualifications
Bachelor’s or advanced degree in Computer Science, Mathematics, Data Science, or related technical field; advanced degree preferred. 6+ years of experience in software engineering or machine learning engineering focused on insight generation and NLP. Expertise in NLP and ML, including classifiers, transformer models, LLMs, and 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 LangChain ecosystem (LangSmith, LangGraph) and production use. Deep proficiency in building scalable data pipelines and distributed systems using Apache Kafka, Airflow, and cloud data platforms like Snowflake. Strong programming skills in Python and SQL; knowledge of Java or Scala considered a plus. Experience with cloud-native development, containerization, and orchestration technologies such as Docker and Kubernetes. Excellent communication and collaboration skills with cross-functional teams in globally distributed environments. Prior exposure to fintech or financial data platforms is a strong advantage. Must be authorized to work in the United States without visa sponsorship now or in the future. Benefits
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, tuition reimbursement, CFA exam stipend, robust training programs on industry and soft skills, employee assistance program, generous 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. Compensation
Annual base salary: $170,000-$240,000. Target annual bonus percentage: 10%. Working Conditions
This role is expected to be in the office 5 days a week. 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.
#J-18808-Ljbffr