Machine Learning Engineer

PitchBook Data is hiring a Machine Learning Engineer to join the AI & ML (Insights) team in Seattle. The role focuses on delivering AI-powered capabilities that turn structured and unstructured data into meaningful insights across the PitchBook Platform.

You will work end to end on ML model development and operationalization, with a focus spanning NLP, generative AI, and LLM-based solutions. This onsite position supports production-grade reliability while contributing to the team’s strategic priorities for insight generation.

What you’ll do

• Deliver high-impact AI and machine learning capabilities that drive insight generation on the PitchBook Platform, aligning work with broader business goals and team priorities
• Design, build, and deploy AI/ML models and services for NLP, summarization, semantic search, classification, and prediction
• Develop scalable, high-performance systems with production-grade reliability and efficiency requirements
• Build and optimize models using classifiers, transformers, LLMs, and other NLP techniques, and integrate them into the broader AI/ML infrastructure with partner teams
• Collaborate with engineering, product management, and data collection teams to ensure models rely on high-quality data and support strategic product goals
• Experiment with emerging GenAI, NLP, and search technologies and translate research outcomes into practical enhancements for PitchBook’s AI capabilities
• Contribute to best practices for model transparency, monitoring, evaluation, and compliance, supporting security, data integrity, and responsible AI use
• Support technical evaluation of candidates and help onboard new team members through documentation, pairing, and knowledge sharing
• Apply Agile, Lean, and Fast-Flow principles to support efficient development and deployment cycles
• Model company values and participate in company initiatives and projects as requested

Minimum qualifications

• Bachelor’s degree in Computer Science, Mathematics, or Data Science
• 2+ years of experience in software engineering or machine learning engineering with strong focus on AI/ML applications for insight generation, summarization, semantic search, and prediction
• Authorized to work in the United States without visa sponsorship now or in the future

Technologies you may work with

• Python, SQL, Java, Scala
• scikit-learn, pandas, numpy
• TensorFlow, PyTorch
• LangChain, LangSmith, LangGraph
• Apache Kafka, Airflow, Snowflake
• Docker, Kubernetes
• NLP, GenAI, LLMs

Preferred qualifications

• Hands-on expertise in NLP and ML, including classifiers, transformer models, and LLMs, using 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 LangSmith and LangGraph, with production experience considered a strong plus
• Ability to build and maintain scalable data pipelines and distributed systems with tools such as Apache Kafka, Airflow, and Snowflake
• Strong Python and SQL skills, with Java or Scala knowledge considered a plus
• Practical experience with cloud-native development, containerization, and orchestration including Docker and Kubernetes
• Proven ability to solve complex technical problems, contribute to architectural decisions, and deliver high-performance, reliable systems
• Experience collaborating cross-functionally with product managers, engineers, and data scientists in globally distributed teams
• Experience in fast-paced, data-driven environments, with fintech or financial data platforms as an advantage
• Strong preference for experience authoring research papers for peer-reviewed AI/ML conferences (NeurIPS, ICML, ACL) and participating in the AI research community

Compensation

• Annual base salary: $125,000 - $180,000
• Target annual bonus percentage: 10%

Benefits

• Comprehensive health benefits
• Additional medical wellness incentives
• STD, LTD, AD&D, and life insurance
• Paid sabbatical program after four years
• Paid family and paternity leave
• Annual educational stipend and ability to apply for tuition reimbursement
• CFA exam stipend
• Robust training programs on industry and soft skills
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days
• Matching gifts program and employee resource groups
• Subsidized emergency childcare and Dependent Care FSA
• Company-wide events and quarterly team building events
• Employee referral bonus program
• 401k match and shared ownership employee stock program
• Monthly transportation stipend

Working conditions

• Expected to be in the office 5 days a week
• Standard office setting
• Uses PC and phone on an ongoing basis throughout the day
• Limited corporate travel may be required to remote offices or other business meetings and events