Senior Machine Learning Engineer

Responsibilities

• Deliver high-impact AI and ML capabilities that drive insight generation on the PitchBook Platform
• Design, build, and deploy AI/ML models focusing on NLP, summarization, semantic search, classification, and prediction
• Build and optimize models leveraging classifiers, transformers, and LLMs
• Mentor peers and participate in code and design reviews
• Collaborate with engineering, product management, and data collection teams
• Explore emerging technologies in GenAI, NLP, and search
• Maintain high standards of security, data integrity, and responsible AI use
• Apply Agile, Lean, and Fast-Flow methodologies to development cycles

Requirements

• Bachelor’s or advanced degree in Computer Science, Mathematics, Data Science, or a related field
• 6+ years of experience in software engineering or machine learning engineering
• Expertise in NLP and machine learning (classifiers, transformers, LLMs)
• Hands-on experience with scikit-learn, pandas, numpy, TensorFlow, or PyTorch
• Experience delivering production-grade GenAI or LLM-based systems
• Proficiency in Python and SQL
• Experience with cloud-native development, Docker, and Kubernetes
• Ability to build and maintain scalable data pipelines (Kafka, Airflow, Snowflake)
• Authorized to work in the United States without visa sponsorship

Preferred Qualifications

• Advanced degree in a technical field
• Familiarity with LangChain, LangSmith, or LangGraph
• Knowledge of Java or Scala
• Prior exposure to fintech or financial data platforms
• Experience authoring research papers for AI/ML conferences (NeurIPS, ICML, ACL)

About the Company

PitchBook, a Morningstar company, provides extensive data and insights to help customers navigate the private markets. We value curiosity, collaboration, and innovation to solve complex technical challenges.