Applied AI & Machine Learning Engineer
Core
Design, develop, and fine-tune generative AI models and NLP pipelines to process unstructured data and surface insights for the PitchBook Platform serving investment professionals.
Role type
Middle Machine Learning Engineer (Generative AI & NLP)
Builds
Production-grade ML systems, intelligent agents, and automated pipelines for financial data analysis.
Domain
Financial services / Investment banking / Venture capital
Deliverable
production ML models
Required skills
Python, PyTorch, Scikit-Learn, Spacy, LangChain, LangGraph, SQL, Transformer architectures, NLP, Vector databases, Statistical modeling
Preferred skills
Generative AI, Agentic AI, Financial services domain knowledge
Technologies
PyTorch, Scikit-Learn, Spacy, LangChain, LangGraph, LangSmith, Vector databases
Responsibilities
Design and fine-tune transformer-based generative AI models; Build automated pipelines using LangChain/LangGraph; Process large volumes of unstructured data using embeddings; Mentor junior team members; Collaborate with Product and Engineering teams on data management.
Seniority
Middle, hands-on IC with mentorship responsibilities
