SIVAD Consulting
SIVAD Consulting
SIVAD Consulting je svetovalno in kadrovsko podjetje v lasti ženske s sedežem v Marylandu, ki podjetjem, državnim in neprofitnim organizacijam pomaga s prilagojenimi rešitvami za pridobivanje talentov in upravljanje delovne sile. Njegove storitve vključujejo upravljanje zaposlovanja, zagotavljanje dodatnega osebja, upravljanje virov, strokovnjake za iskanje kandidatov, vodenje programov in projektov ter analizo in reinženiring poslovnih procesov. Podjetje deluje na področjih svetovanja, logistike in zdravstva, pri čemer poudarja odzivno izvajanje storitev, trdna partnerstva s strankami in pozitivno izkušnjo kandidatov v celotnem procesu zaposlovanja.

Senior Data and Machine Learning Engineer, Ads Recommendations

Own the ad matching and machine learning infrastructure behind real-time recommendations for publisher newsletters. Build ranking systems, data pipelines, and experimentation tools to improve relevance and business performance.

Opis

  • Lead development of the end-to-end ad matching stack.
  • Build machine learning models, serving systems, and the platform beneath them.
  • Develop retrieval, ranking, and re-ranking systems to match ads with recipients.
  • Create embedding and vector search infrastructure for real-time ad selection in publisher newsletters.
  • Improve click-through rates, advertiser return on ad spend, publisher revenue, and subscriber relevance through a unified ranking system.
  • Manage the feature store and model serving path, covering offline training, online inference, and consistency between the two.
  • Keep data pipelines reliable and healthy.
  • Use large language models and foundation models for subscriber tagging, content understanding, and user modeling.
  • Take new initiatives from prototype to production, including online learning, feedback loops, dependable ETL and ELT pipelines, and dbt or warehouse transformations.
  • Create dashboards and automated scorecards to track performance, click-through rates, tag coverage, and other key metrics in real time.
  • Partner with the CTO, CEO, and engineering team to prioritize and sequence recommendation system scaling work.
  • Develop toward a leadership position, with the opportunity to build and lead a machine learning team.

Zahteve

  • At least three years of experience with recommendation, ranking, or advertising systems.
  • Five to 16 years of experience in production machine learning or data engineering.
  • Experience owning several parts of a recommendation system end to end, including retrieval, ranking, serving, and evaluation.
  • Experience with ad recommendation models, such as ad ranking, click-through or conversion prediction, or ad matching.
  • Experience with embeddings and real-time vector search tools such as FAISS, Milvus, Pinecone, pgvector, or similar.
  • Founder experience or experience working at an early-stage startup.
  • Located in the New York City area or a nearby U.S. time zone, with the ability to travel to New York City quarterly.
  • Experience building and maintaining data pipelines and a SQL and dbt transformation layer, or an equivalent.
  • Previous experience building a machine learning team.
  • A master's or Ph.D. in computer science or machine learning is preferred but not required.

Ugodnosti

  • Opportunity to build and lead a machine learning team.
  • A high-autonomy role with end-to-end ownership of the ad matching stack.

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