In-Office ML Engineer: GenAI & NLP for Insights

Pitchbook; Seattle (WA); On-site; USD 125,000 - 180,000; Full time

Benefits offered by this job

Health benefits

Sabbatical program

Tuition reimbursement

401k match

Monthly transportation stipend

Job summary

PitchBook, a Morningstar company, is seeking an ML Engineer on the AI & ML (Insights) team in Seattle. You will design, deploy, and operationalize NLP/GenAI models that power the PitchBook Platform, collaborating with engineers, data scientists, and product managers to deliver impactful insights.

You should have 2+ years in software or ML engineering, a CS/Math/Data Science degree, and work authorization in the United States.

Qualifications

• Bachelor's degree in Computer Science, Mathematics, or Data Science.
• 2+ years of experience in software engineering or machine learning engineering with focus on AI/ML for insight generation.
• Must be authorized to work in the United States without visa sponsorship.

Responsibilities

• Deliver high-impact AI/ML capabilities driving insight generation.
• Design, build, and deploy AI/ML models and services (NLP, summarization, semantic search, classification, prediction).
• Contribute to scalable, production-grade systems with reliability and efficiency.
• Collaborate with engineers, product managers, and data scientists.
• Explore GenAI, NLP, and search; translate research to production-ready solutions.
• Ensure model transparency, monitoring, and compliance.

Skills

NLP

GenAI

LLMs

Python

SQL

Kafka

Airflow

Docker

Kubernetes

Cloud

Education

Bachelor's degree in Computer Science, Mathematics, or Data Science

Tools

LangChain

LangSmith

LangGraph

Snowflake

TensorFlow

PyTorch

Job description

PitchBook, a Morningstar company, is seeking an ML Engineer on the AI & ML (Insights) team in Seattle. You will design, deploy, and operationalize NLP/GenAI models that power the PitchBook Platform, collaborating with engineers, data scientists, and product managers to deliver impactful insights.

You should have 2+ years in software or ML engineering, a CS/Math/Data Science degree, and work authorization in the United States.