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NewsBreak

Machine Learning Engineer, Local Search & Marketplace

NewsBreak · Mountain View, California, United States

Posted about 3 months ago · $190,000 - $300,000

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

Is this posting real?

This role has been open
82 days
NewsBreak's roles stay open a median of 81 days
Reposted
No
Salary listed
Yes
15% of NewsBreak's roles list one
Ghost-job risk at NewsBreak
high
47 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
2026-10-24

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 Machine Learning Engineer at NewsBreak, you will develop intelligent systems that enhance local search and marketplace experiences. Your responsibilities include building and optimizing machine learning models for search, recommendation, and personalization, while collaborating with cross-functional teams to translate business needs into scalable solutions. This hands-on role involves taking machine learning projects from conception through to production deployment.

Our read on this posting3.0out of 5
benefits
1/5
freshness
1/5
career value
4/5
role clarity
4/5
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 NewsBreak as an employer.

What you need

  • Experience building machine learning, data mining, search, recommendation, ranking, NLP, or related systems through academic projects, internships, or industry work.
  • Strong programming skills in Python, Java, C++, or another relevant language.
  • Solid understanding of machine learning fundamentals, data structures, algorithms, and statistical analysis.
  • Ability to work with large-scale or complex datasets and translate ambiguous problems into practical solutions.
  • Strong collaboration and communication skills.
  • Interest in building production systems that serve real users and deliver measurable product impact.

Nice to have

  • Experience deploying and maintaining machine learning models in production.
  • Experience with experimentation, including A/B testing, causal analysis, or marketplace experiments.
  • Familiarity with deep learning frameworks and ML infrastructure, such as PyTorch, TensorFlow, Spark, Kubernetes, or feature and model-serving platforms.
  • Experience building taxonomies, user-interest representations, knowledge graphs, or behavioral models.
  • Experience applying LLMs to search, recommendation, classification, or information retrieval.

What you get

  • Annual base pay range of $190,000 - $300,000.
  • Potential eligibility for a discretionary bonus and equity.

Worth weighing

  • No specific mention of remote work options or flexibility in work arrangements.
  • The role may vary in scope and level based on candidate experience, which could affect responsibilities.
  • The salary range is broad, and actual pay may depend on various factors including skills and experience.
  • The posting emphasizes a hands-on role, which may require a significant commitment to production-level work.

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

Listed by NewsBreak on their greenhouse job board, last confirmed open on 2026-10-24. PitchMeAI is not the employer.

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