Senior ML Platform Engineer - Fast Search & Recommendations

Salla

Makkah Region

Sur place

SAR 300 000 - 600 000

Plein temps

Il y a 3 jours
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Résumé du poste

Salla is the leading e-commerce platform in MENA, powering a discovery stack for search and recommendations. You will own the platform supporting fast, fresh and reliable ranking for shoppers, collaborating with data scientists and ML engineers on scalable backends.

Join the ML Platform team to design, build, and operate low-latency services, streaming ingestion, and integration with product surfaces. This is a hands-on role with ownership of deployment and experimentation.

Qualifications

  • 5+ years building backend or platform systems in production.

Responsabilités

  • Build and run query and recommendation serving: retrieval, score fusion, filtering, caching.
  • Hold tight latency budgets, including double-digit-millisecond p95 for search-as-you-type.
  • Design graceful degradation, so serving holds up when a model or vector path is slow or down.
  • Build experiment plumbing: shadow traffic, A/B assignment, guardrail metrics, rollback.
  • Build change-data-capture from source systems into search indexes and feature stores, with measured freshness.
  • Keep embeddings fresh for new and updated items.
  • Run zero-downtime reindexing of multi-million-document collections.
  • Build feature logging that turns production traffic into training data for ranking models.
  • Ship changes into product teams' backends and clients: new endpoints, cutovers, experiment flags.
  • Work with product engineering teams on reviews, release windows and production ownership.
  • Monitoring, alerting, runbooks, and your share of on-call for what you ship.

Connaissances

Backend systems
Production search engine
Low latency
Streaming ingestion
Python
TypeScript
A/B testing
Claude Code

Outils

Elasticsearch/OpenSearch/Solr/Vespa
Kafka/Debezium

Description du poste

Salla is the leading e-commerce platform in MENA, powering a discovery stack for search and recommendations. You will own the platform supporting fast, fresh and reliable ranking for shoppers, collaborating with data scientists and ML engineers on scalable backends.

Join the ML Platform team to design, build, and operate low-latency services, streaming ingestion, and integration with product surfaces. This is a hands-on role with ownership of deployment and experimentation.

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