Senior Data Engineer

This role is based in Mountain View, CA, or Chicago, IL.

Compensation:

$156,000-$226,000 + bonus + equity + benefits

Responsibilities:

• Design and maintain pipelines to ingest, clean, and process massive volumes of unstructured data.
• Architect and deploy platforms that leverage AI agents and Large Language Models (LLMs).
• Develop internal libraries and frameworks for Natural Language Processing (NLP).
• Manage large-scale embedding workflows using TensorFlow and TPUs.
• Implement automated monitoring and data quality checks.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience coding in Python and SQL.
• 5 years of experience with MLOps and data infrastructure.
• 5 years of experience designing and deploying data pipelines.

Preferred qualifications:

• Experience with data schemas and Google Colab.
• Proficiency in SQL and Python.
• Understanding of MLOps/LLMOps principles.