PitchBook Data

Machine Learning Engineer

Seattle, Washington, United States

Sponsorship not specifiedDetected 1 day ago
PythonJavaScalaDistributed SystemsSQLSnowflakeDockerKubernetesKafkaMachine LearningTensorFlowPyTorchscikit-learnPandasNumPyAirflowData AnalysisData EngineeringData ScienceNLPLLMsLangGraphExcelResearch

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 thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.
  • 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.

Responsibilities

  • 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 a culture of technical excellence by sharing knowledge, pairing with teammates, and actively participating in code and design reviews. Provide situational guidance to junior engineers and contribute to team best 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
  • 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
  • Apply principles from Agile, Lean, and Fast-Flow methodologies to support efficient model development and deployment cycles
  • We value curiosity and the drive to find better ways of doing things.

Requirements

  • Experience delivering production-grade GenAI or LLM-based systems with measurable business impact
  • Proficiency in building and maintaining scalable data pipelines and distributed systems using technologies such as Apache Kafka, Airflow, and cloud data platforms like Snowflake
  • Practical experience with cloud-native development, containerization, and orchestration technologies such as Docker and Kubernetes
  • Experience working in fast-paced, data-driven environments.
  • Experience authoring research papers for peer-reviewed AI/ML conferenc
  • If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.
  • 2+ 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
  • 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

Nice to have

  • Bachelor's degree in Computer Science, Mathematics, Data Science, or related technical field, advanced degrees are preferred
  • Familiarity with the LangChain ecosystem, including tools such as LangSmith and LangGraph, and experience using them in production environments is a strong plus
  • Strong programming skills in Python and SQL, with working knowledge of additional languages such as Java or Scala considered a plus

Benefits

  • Support the vision and values of the company through role modeling and encouraging desired behaviors

Company info

  • Your contributions will help unlock unique value for PitchBook customers by improving the speed, discoverability, quality, and quantity of insights available on the platform.
  • Participate in various company initiatives and projects as requested
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This listing is sourced directly from PitchBook Data's careers page and normalized into a canonical job model.