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NewsBreak

NewsBreak

Digital news aggregation and distribution platform

Machine Learning Engineer - Local Search & Marketplace

Full-Time
$190k - $300k/yr

+ Discretionary bonus + Equity/options

Mid
Mountain View, CA, USA
In Person

About the job

Requirements
  • Experience building machine learning, data mining, search, recommendation, ranking, natural language processing, 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.
  • Experience with search, retrieval, or learning-to-rank; recommendation or personalization; query understanding, intent classification, or natural language processing; embeddings, semantic search, or large language models; or matching, marketplace optimization, or dispatch.
  • 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.
Responsibilities
  • Build and improve machine learning models for search, recommendation, ranking, retrieval, matching, and personalization.
  • Develop systems that understand user queries, behaviors, preferences, and context.
  • Apply embeddings, natural language processing, large language models, and modern retrieval techniques to connect consumer demand with relevant local content, businesses, or services.
  • Build and optimize end-to-end machine learning pipelines, from data preparation and model training to online serving and monitoring.
  • Partner with product, engineering, and data teams to define problems, identify opportunities, and translate business needs into scalable machine learning solutions.
  • Design and analyze online and offline experiments to measure model quality and product impact.
  • Improve key product outcomes such as relevance, engagement, conversion, retention, and marketplace efficiency.
  • Explore new machine learning and large language model techniques and bring them into production where they can deliver measurable value.
Desired Qualifications
  • 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 machine learning 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 large language models to search, recommendation, classification, or information retrieval.
  • Background in local search, local services, maps, commerce, marketplaces, delivery, mobility, or location-based products.
  • Experience at a consumer internet, search, recommendation, advertising, e-commerce, or marketplace company.

About the company

NewsBreak operates a digital platform that aggregates and distributes news from various sources, including independent contributors and traditional media outlets. The platform works by gathering articles across diverse topics like local events, global news, and lifestyle, then presenting them in an easy-to-read format through a mobile app and website. Unlike many competitors that focus solely on national headlines, NewsBreak emphasizes hyper-local content and a wide variety of niche topics to serve a broader audience. Its goal is to provide a comprehensive and accessible news feed for general readers while generating revenue through advertising and content partnerships.

Company Size

201-500

Company Stage

Series C

Total Funding

$139.8M

Headquarters

Mountain View, California

Founded

2015

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Simplify's Take

What believers are saying

  • September 15, 2026, hired Nicolas Zylberstein to accelerate AI commercialization.
  • The May 2026 SPOTLIGHTS launch produced 76 million impressions from 750 businesses.
  • The Fifth Circuit’s August 27, 2026 ruling strengthened NewsBreak’s aggregation model in court.

What critics are saying

  • Comeback Media’s February 2026 lawsuit keeps NewsBreak exposed to copyright and trademark claims.
  • If publishers block embedding, NewsBreak loses supply; the business collapses into a thin shell.
  • Google, Meta, and TikTok can outbid NewsBreak for local intent, merchants, and attention.

What makes NewsBreak unique

  • NewsBreak reaches 40 million U.S. monthly users with hyperlocal local-news distribution.
  • SPOTLIGHTS turns neighborhood businesses into content, blending advertising and local storytelling.
  • Nearby AI and NDot AI extend NewsBreak into local commerce and publisher tooling.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

401(k) Company Match

Paid Vacation

Paid Sick Leave

Paid Holidays

Paid Parental Leave

Health Savings Account/Flexible Spending Account

Commuter Benefits

Team Activity Budget

Company News

PR Newswire
Sep 15th, 2026
NewsBreak appoints Nicolas Zylberstein as chief business officer to lead AI expansion

NewsBreak has appointed Nicolas Zylberstein as its first Chief Business Officer. He will lead growth across NewsBreak's flagship local news platform and two new AI ventures: Nearby AI and NDot AI. Nearby AI is an agentic local intent marketplace connecting consumers with local businesses. NDot AI is a B2B media tech platform helping publishers grow and monetise audiences. Both platforms leverage NewsBreak's decade of experience serving over 40 million monthly active users. Zylberstein joins from ByteDance, where he spent six years driving AI partnerships and working on TikTok Shop's early launch. He previously held senior roles at Pinterest, YouTube, and The Walt Disney Company, contributing to Pinterest's IPO and the launches of YouTube Premium and Disney+.

PR Newswire
May 6th, 2026
NewsBreak launches Spotlights to connect small businesses with 40M local readers

NewsBreak, America's leading local news app, has launched SPOTLIGHTS, a programme helping small businesses reach local customers through storytelling. Business owners answer questions to create articles, which are then published on NewsBreak and distributed to the platform's 40 million monthly active users via hyperlocal targeting and push notifications. Early results from 750 participating businesses show strong engagement, generating 76 million impressions, 1.52 million views and over 19,000 shares. One participant, Hello Uncle pop-up restaurant, gained over 200 Instagram followers and sold out events following their article. The programme, available at localbusiness.newsbreak.com, includes one feature article and push notification free of charge. Founded in 2015, Mountain View-based NewsBreak reached unicorn status in 2021.

VentureBeat
May 22nd, 2025
Time Magazine Appears To Accidentally Publish Embargoed Story Confirming New Anthropic Model

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. The San Francisco-based AI startup Anthropic had already informed the general public that it planned to make an announcement today, Thursday, May 22nd with a livestream scheduled for 9:30 am PT.Many in the wider AI power user community, especially on X, began to theorize that the announcement would mark the launch of a new Claude model codenamed “Neptune,” based on earlier inspection of Anthropic documents and code online, which some took to be a new version of its powerful Claude large language model (LLM) family, potentially the long-awaited “Claude 4 Opus,” a larger-parameter (denoting more internal settings and complexity) model successor to the current Claude 3.7 Sonnet.Now, it appears that Time Magazine has accidentally confirmed that rumor, publishing and quickly removing an article on its website, according to the observations of eagle-eyed AI programmers and news bloggers on X.Someone also appears to have published a full scrape of the Time article online on the news aggregator app Newsbreak, though that too has now been taken offline. The focus of Time’s piece is on Claude 4 Opus’s safety risks and mitigations, but it does reveal that the new Claude is smart enough to potentially help novices create new bioweapons.There are scant specifics about the model size, cost, licensing terms, and performance on commonly used third-party AI benchmarks. For those, we will just have to wait until more information is revealed by Anthropic — or leaked by members of the press and AI community. Daily insights on business use cases with VB Daily

Securities.io
Mar 4th, 2025
Decentralized Networks Primed To Advance Autonomous Vehicles

Decentralized intelligence networks could hold the key to making self-driving cars smarter and safer. Many see these vehicles as the future of travel. However, there are still several problems that manufacturers and regulators need to work out.At their core, self-driving vehicles rely on sensors and other data to stay on course, avoid obstacles, and safely deliver passengers to their destinations. These sensors can include LiDAR, radar, thermal imaging, and other advanced systems. All of these systems create a data footprint that can be used to improve the car's performance in the future.Federated LearningOne way that manufacturers have found to improve their vehicles' self-driving performance is to enable their cars to share this data using a system called federated learning. Federated Learning (FL) is a distributed machine learning approach where individual vehicles train models locally and share only model updates with a central server

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