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SIVAD Consulting
SIVAD Consulting
1 – 10 Employees
ConsultingHealthcareLogistics
SIVAD Consulting is a woman-owned consulting and recruiting firm based in Maryland, supporting corporate, government, and nonprofit organizations with tailored talent-acquisition and workforce solutions. Its services include recruiting management, staff augmentation, resource management, sourcing specialists, program and project management, and business process analysis and re-engineering. The company works across consulting, logistics, and healthcare, with an emphasis on responsive delivery, strong client partnerships, and a positive candidate experience throughout the hiring lifecycle.
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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.

USUnited StatesNYNew York
$200,000 – $300,000 / year
HybridFull-timeSeniorEnglish RequiredMachine Learning Engineer
ETLSQL

Description

  • 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.

Requirements

  • 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.

Benefits

  • 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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