{"schemaVersion":"jobsearcher.job.v1","id":"4fd6110d09f7fe4643ef9b15","url":"https://jobsearcher.com/jobs/4fd6110d09f7fe4643ef9b15","canonicalUrl":"https://jobsearcher.com/jobs/4fd6110d09f7fe4643ef9b15","title":"Matching Algorithm Engineer","description":"Mountain View, California, United States\nAbout NewsBreak\nFounded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech.\nRecognized by Fast Company as #32 on the Top Workplaces for Innovators, we’re proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale.\nTogether, we reached unicorn status in 2021, and we remain committed to continuing this high‑growth trajectory with the right team to fulfil our mission: building the infrastructure layer for content intelligence.\nFor more information, visit www.newsbreak.com/about.\nAbout the role You will build the algorithms that connect local consumers with the right businesses at the right moment—search ranking, two‑sided marketplace matching, and dispatch optimisation. This is the engine of a local marketplace: learning‑to‑rank and retrieval pipelines, matching and dispatch models, and the relevance and recommendation systems that move marketplace conversion. If you have owned ranking or matching models that improved conversion at a marketplace, this role is the heart of the product.\nWhat you’ll do Build search‑ranking, marketplace‑matching, and dispatch models for a two‑sided local marketplace.\nOwn learning‑to‑rank and retrieval/recall pipelines end to end.\nImprove marketplace conversion through relevance, matching, and recommendation models.\nDesign and analyse experiments (A/B, switchback) to prove causal impact in a marketplace setting.\nBring modern ML/LLM techniques into ranking and matching where they add real lift.\nWhat we’re looking for 4+ years as an ML Engineer / Applied Scientist on ranking, matching, dispatch, retrieval, or recommendation.\nDirect work on two‑sided marketplace matching or dispatch, or on search ranking with a learning‑to‑rank / retrieval pipeline.\nDemonstrated marketplace‑conversion impact (you can point to the lift and how you measured it).\nStrong experimentation skills, including causal methods for marketplaces (e.g., switchback).\nProduction ML at scale.\nNice to have Background at DoorDash, Uber, Instacart, Airbnb, Yelp, Nextdoor, Lyft, Amazon, or Faire.\nRelevance / matching work that connects consumers with local businesses (Yelp, Nextdoor).\nThe US base salary range for this full‑time position is listed below. Pay may vary based on a number of factors including job‑related skills, level, experience, geographic location and relevant education or training. Depending on the position, the role may also be eligible for discretionary bonus and options.\nWe do not discriminate on the basis of any protected group status under any applicable law. This is a statement of our equal employment opportunity policy.\n\n#J-18808-Ljbffr","company":"Newsbreak","rawCompany":"newsbreak","city":"Mountain View","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-06-24T03:17:35.005Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"519290","title":"Web Search Portals and All Other Information Services","slug":"web-search-portals-and-all-other-information-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Matching Algorithm Engineer","description":"Mountain View, California, United States\nAbout NewsBreak\nFounded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech.\nRecognized by Fast Company as #32 on the Top Workplaces for Innovators, we’re proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale.\nTogether, we reached unicorn status in 2021, and we remain committed to continuing this high‑growth trajectory with the right team to fulfil our mission: building the infrastructure layer for content intelligence.\nFor more information, visit www.newsbreak.com/about.\nAbout the role You will build the algorithms that connect local consumers with the right businesses at the right moment—search ranking, two‑sided marketplace matching, and dispatch optimisation. This is the engine of a local marketplace: learning‑to‑rank and retrieval pipelines, matching and dispatch models, and the relevance and recommendation systems that move marketplace conversion. If you have owned ranking or matching models that improved conversion at a marketplace, this role is the heart of the product.\nWhat you’ll do Build search‑ranking, marketplace‑matching, and dispatch models for a two‑sided local marketplace.\nOwn learning‑to‑rank and retrieval/recall pipelines end to end.\nImprove marketplace conversion through relevance, matching, and recommendation models.\nDesign and analyse experiments (A/B, switchback) to prove causal impact in a marketplace setting.\nBring modern ML/LLM techniques into ranking and matching where they add real lift.\nWhat we’re looking for 4+ years as an ML Engineer / Applied Scientist on ranking, matching, dispatch, retrieval, or recommendation.\nDirect work on two‑sided marketplace matching or dispatch, or on search ranking with a learning‑to‑rank / retrieval pipeline.\nDemonstrated marketplace‑conversion impact (you can point to the lift and how you measured it).\nStrong experimentation skills, including causal methods for marketplaces (e.g., switchback).\nProduction ML at scale.\nNice to have Background at DoorDash, Uber, Instacart, Airbnb, Yelp, Nextdoor, Lyft, Amazon, or Faire.\nRelevance / matching work that connects consumers with local businesses (Yelp, Nextdoor).\nThe US base salary range for this full‑time position is listed below. Pay may vary based on a number of factors including job‑related skills, level, experience, geographic location and relevant education or training. Depending on the position, the role may also be eligible for discretionary bonus and options.\nWe do not discriminate on the basis of any protected group status under any applicable law. This is a statement of our equal employment opportunity policy.\n\n#J-18808-Ljbffr","datePosted":"2026-06-24T03:17:35.005Z","dateModified":"2026-06-24T03:17:35.005Z","hiringOrganization":{"@type":"Organization","name":"Newsbreak","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4fd6110d09f7fe4643ef9b15"},"url":"https://jobsearcher.com/jobs/4fd6110d09f7fe4643ef9b15"}}