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PitchBook Data

Machine Learning Engineer

PitchBook Data · Seattle, Washington, United States

Posted about 3 months ago · $125,000-$180,000

or apply directly on PitchBook Data's site. We never take the application ourselves.

Is this posting real?

This role has been open
81 days
PitchBook Data's roles stay open a median of 81 days
Reposted
No
Salary listed
Yes
78% of PitchBook Data's roles list one
Ghost-job risk at PitchBook Data
high
27 stale, 1 reposted of 27 open
Hiring momentum
49 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from PitchBook Data's own greenhouse board since 2026-08-03. Full hiring picture for PitchBook Data.

About this role

As a Machine Learning Engineer at PitchBook, you will be part of a collaborative team focused on delivering AI-powered features that enhance customer insights from diverse data sources. Your role involves end-to-end development of machine learning models, particularly in natural language processing and generative AI, while ensuring alignment with business goals. You will also engage in knowledge sharing, mentoring junior engineers, and contributing to best practices in AI and ML.

Our read on this posting4.0out of 5
benefits
5/5
freshness
1/5
career value
4/5
role clarity
5/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of PitchBook Data as an employer.

What you need

  • Bachelor’s degree in Computer Science, Mathematics or Data Science
  • 2 years minimum 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
  • Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Nice to have

  • 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
  • Experience delivering production-grade GenAI or LLM-based systems with measurable business impact
  • Familiarity with the LangChain ecosystem, including tools such as LangSmith and LangGraph, and experience using them in production environments
  • Proficiency in building and maintaining scalable data pipelines and distributed systems using technologies such as Apache Kafka, Airflow, and cloud data platforms like Snowflake
  • Strong programming skills in Python and SQL, with working knowledge of additional languages such as Java or Scala considered a plus

What you get

  • 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

Worth weighing

  • Role requires being in the office 5 days a week, which may not suit candidates looking for remote work flexibility.
  • The position involves tackling complex technical challenges, which may lead to a demanding work environment.
  • The emphasis on collaboration and in-person interaction may not appeal to those who prefer remote or hybrid work settings.

Summarised from PitchBook Data's posting. Read the full original.

Listed by PitchBook Data on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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