Senior Ml Ops Engineer

Case Law Reporter

Multiple Locations
Base: $95,300 - $158,800; bonus/equity: eligible f...
Hybrid
Ml engineering
Mlops platforms
Shipping ml systems to production
You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services

Job Summary

  • You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services.
  • As a Senior Machine Learning Engineer you’ll work on AI-based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and editorial confidentiality.
  • We are committed to providing a fair and accessible hiring process.

Matching Summary

You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services.

Salary

Base: $95,300 - $158,800; Bonus/Equity: eligible for annual incentive bonus; Benefits: country specific benefits

Skills & Requirements

Must-have

  • ML Engineering
  • MLOps platforms
  • shipping ML systems to production
  • major cloud vendor solutions
  • Search/vector/graph technologies
  • evaluating LLM models
  • Data Science Life Cycle

Nice-to-have

  • collaborative
  • mission driven
  • societal impact
  • health technology
  • medical content workflows

Key Requirements

  • Current experience in ML Engineering
  • Hands-on experience with major cloud vendor solutions
  • Experience with Search/vector/graph technologies
  • Experience in evaluating LLM models
  • Strong Python, Java, and/or Scala experience

Work Rights

Not specified

Tailored Resume

Cover Letter