Lead ML Engineer, Ads & Search (Low-Latency)

adMarketplace, Inc.

New York (NY)

Sur place

USD 240 000 - 260 000

Plein temps

Il y a 11 heures
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Avantages offerts par ce poste

Healthcare
Paid time off
Commuter benefits
401k matching
Summer Fridays
Catered lunches
Fully stocked kitchen
Team events

Résumé du poste

adMarketplace is the leading global marketplace for Native Search advertising, seeking a Lead Machine Learning Engineer to advance its ultra-low-latency ad-serving platform and consumer search solutions. You will drive AI/ML initiatives, collaborate with product and engineering teams, and champion scalable ML architectures.

The role emphasizes relevancy, yield optimization, predictive modeling, and improved bidding performance, with a clear career path and growth opportunities in a dynamic

Qualifications

  • PhD with 5+ years of AI/ML experience or MS with 5-8+ years in production ML systems.
  • 2+ years building AI/ML models in ads, relevance, ranking, or search.
  • 3+ years building low-latency, high-throughput ML services.
  • 3+ years deploying ML pipelines including feature engineering and monitoring.

Responsabilités

  • Drive end-to-end lifecycle management of AI/ML projects from concept to deployment and maintenance.
  • Implement MLOps practices including data collection, training pipelines, deployments, monitoring, and QA.
  • Contribute to model architecture using state-of-the-art ML, DL, and RL techniques.
  • Develop feature pipelines and ML services optimized for low latency and high throughput.
  • Establish robust A/B testing and experimentation to improve model performance.
  • Translate research papers into production-ready code.
  • Collaborate across teams and mentor junior staff.

Connaissances

Python
Distributed ML
MLOps
Communication

Formation

PhD or MS in a relevant field

Outils

Spark
Hadoop
TensorFlow
PyTorch
scikit-learn
Spark ML

Description du poste

adMarketplace is the leading global marketplace for Native Search advertising, seeking a Lead Machine Learning Engineer to advance its ultra-low-latency ad-serving platform and consumer search solutions. You will drive AI/ML initiatives, collaborate with product and engineering teams, and champion scalable ML architectures.

The role emphasizes relevancy, yield optimization, predictive modeling, and improved bidding performance, with a clear career path and growth opportunities in a dynamic

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