Senior Machine Learning Engineer for Search Enhancement

2 weeks ago


Stockholm, Stockholm, Sweden Wolt Full time
Search Relevance Team Lead Job Description

The Search Relevance team at Wolt is responsible for the ML components of the Search's stack that retrieve and rank restaurants, stores, dishes, and items.

We're looking for a Senior Machine Learning Engineer to join our team and contribute to the development, deployment, and maintenance of retrieval and ranking models.

The ideal candidate will have experience in end-to-end machine learning deployments, solid communication and collaboration skills, and a good understanding of ML and MLOps principles.

As a Senior Machine Learning Engineer, you will work on building the team's ML infrastructure, raising the team's ML engineering excellence bar, and contributing to our MLOps practices.

Responsibilities
  • Develop, train, deploy, and maintain retrieval and ranking models
  • Work at Wolt's scale, with operations in 28 markets and millions of customers
  • Contribute to cross-disciplinary team efforts to solve customer problems with direct impact on the company's business KPIs
  • Build the team's ML infrastructure and improve the team's ML engineering excellence
  • Monitor, maintain, and troubleshoot the Search Relevance ML stack
Requirements
  • 4+ years of experience in ML/MLOps
  • Deployed and ran ML models in production at scale
  • Solid experience in scaling and troubleshooting machine learning deployments
  • Good understanding of ML and MLOps principles and software engineering experience in Python
  • Experience with Docker, Kubernetes, workflow orchestration tools, model and experiment registries, and model serving systems
  • Domain experience in Search is highly preferable


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