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Senior Recommendation Engineer

NewsBreak
Location
Mountain View, California, United States
Posted
9 days ago
Department
Core Product
What they actually want (must-haves)
  • 5+ years of machine-learning or software engineering experience
  • 3+ years shipping recommendation or ranking systems in production
  • Built and operated a ranking system at consumer scale with millions of users
  • Substantial online experimentation experience on ranking changes
  • Deployed an uplift, causal, or counterfactual model in production
  • Strong Python plus at least one of Java, Scala, or Go
Nice to have
  • Feed or notification ranking experience at a content or media company
  • Two-sided marketplace matching with fairness or exposure constraints in production
  • Experience in domains with low-frequency, high-consequence decisions such as insurance, healthcare, or real estate
  • Publications or open-source contributions in recommendation, causal inference, or marketplace design
What the job really is

As a Senior Recommendation Engineer at NewsBreak, you will be responsible for building and owning recommendation and ranking systems for content feeds and customer-to-professional matching. Your role will involve designing an event-triggered engagement engine, defining evaluation frameworks, and contributing insights to the company's AI models. You will work within a small team focused on creating fair and effective systems that support high-consequence household decisions.

Benefits
  • Annual base pay range of $150,000 — $300,000 USD
  • Discretionary bonus and options may be available
  • Overall rewards package designed to attract top talents
Things to weigh
  • No specific mention of remote work options
  • Focus on high-consequence decisions may limit the scope of experimentation
  • Potentially high-pressure environment due to commercial considerations
Job score3.2/5
Benefits2/5
Freshness5/5
Career value4/5
Role clarity5/5
Pay transparency0/5

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