Machine Learning Engineer – Search & Retrieval Systems

Wizardcommerce

Remote, United States
$225,000 - $280,000 usd py
Fully remote
Hybrid search pipeline (elasticsearch)
Adaptive retrieval models
Learning-to-rank system (lightgbm, onnx)
Wizardcommerce is seeking a Machine Learning Engineer to enhance their AI shopping agent's search and retrieval systems. The ideal candidate will have a strong background in search technology, machine learning, and software engineering, with responsibilities including building adaptive retrieval models and optimizing search pipelines

Job Summary

  • Own and evolve the hybrid search pipeline, building and training adaptive retrieval models to configure search behavior per query, category, and context.
  • Design and productionize the learning-to-rank system, build the search feedback loop, and develop the business and ordering layer for organic and sponsored placements.
  • Ship ranking and retrieval improvements that measurably move product quality metrics, own systems end-to-end, and build infrastructure that other engineers can extend.

Matching Summary

Match Score: 85

Wizardcommerce is seeking a Machine Learning Engineer to enhance their AI shopping agent's search and retrieval systems. The ideal candidate will have a strong background in search technology, machine learning, and software engineering, with responsibilities including building adaptive retrieval models and optimizing search pipelines.

Salary

$225,000 - $280,000 USD

Skills & Requirements

Must-have

  • Hybrid search pipeline (Elasticsearch)
  • Adaptive retrieval models
  • Learning-to-rank system (LightGBM, ONNX)
  • Search feedback loop integration
  • Offline enrichment pipeline (LLM-based)
  • Evaluation and metric tracking

Nice-to-have

  • Conversational agent intent evolution
  • Business and ordering layer development
  • Infrastructure for engineer extensibility

Key Requirements

  • 5-8+ years experience in search, retrieval, or ranking systems
  • Strong Elasticsearch or similar search engine experience
  • Hands-on learning-to-rank experience
  • Strong Python and software engineering fundamentals
  • Experience with embeddings and vector search
  • Pragmatic ML sensibility and rigorous measurement

Work Rights

Not specified

Tailored Resume

Cover Letter