NewsBreak

Senior Recommendation Engineer

NewsBreak · Mountain View, California, United States

Posted 5 days ago

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

Is this posting real?

This role has been open
5 days
NewsBreak's roles stay open a median of 44 days
Reposted
No
Salary listed
No
15% of NewsBreak's roles list one
Ghost-job risk at NewsBreak
high
25 stale, 0 reposted of 55 open
Hiring momentum
61 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

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

About this role

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.

Our read on this posting3.2out of 5
benefits
2/5
freshness
5/5
career value
4/5
role clarity
5/5
pay transparency
0/5

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 NewsBreak as an employer.

What you need

  • 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 you get

  • 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

Worth weighing

  • 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

Summarised from NewsBreak's posting. Read the full original.

Listed by NewsBreak on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

More roles at NewsBreak

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