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Amsterdam
1 day ago
Lead ML Engineer (recommendation systems) logo

Lead ML Engineer (recommendation systems)

Swap

Amsterdam
1 day ago
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Lead ML Engineer (recommendation systems)

Swap is seeking a Senior/Lead ML Engineer to own the intelligence behind its AI Storefront's recommendation systems. The role involves building style-aware product recommendations, outfit generation, and personalised discovery using LLMs and traditional ML techniques. Candidates need 5+ years of ML engineering experience with production recommendation systems.

AIHybridFull-timeLeadPythonPyTorch

Lead ML Engineer (recommendation systems)

Swap is seeking a Senior/Lead ML Engineer to own the intelligence behind its AI Storefront's recommendation systems. The role involves building style-aware product recommendations, outfit generation, and personalised discovery using LLMs and traditional ML techniques. Candidates need 5+ years of ML engineering experience with production recommendation systems.

Apply
AIHybridFull-timeLeadPython

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid

Experience Required

5 years

Employment Type

Full-time

Experience Level

Senior/Lead

Core Qualifications

Technical (Must-have)
PythonPyTorchTensorFlowMachine LearningRecommendation SystemsCollaborative FilteringContent-Based FilteringEmbedding ModelsSequence ModelsGraph-Based ApproachesLLMsCI/CDModel ServingMonitoringMicroservices
Soft Skills
OwnershipCollaborationTechnical LeadershipProblem SolvingCreativity

Preferred Qualifications

Technical (Nice-to-have)
FashionStyleVisual EmbeddingsMultimodal ModelsTaste/Preference Modelling

Key Responsibilities

  • •Own the end-to-end ML lifecycle for recommendation and personalisation systems.
  • •Design, build, and productionise models for style-aware recommendations.
  • •Develop approaches combining conversational preference extraction with behavioural signals and LLM knowledge.
  • •Build and optimise feature pipelines and serving infrastructure.
  • •Define and champion best practices for offline and online evaluation.
  • •Collaborate with product, AI engineering, and design.
  • •Explore and integrate signals from social media and visual style.
  • •Act as senior technical reference for recommendation engineering.
Lead ML EngineerRecommendation SystemsLLMsFashionAI StorefrontHybridAmsterdamPythonPyTorchTensorFlow
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