Senior Search Engineer

2 weeks ago


Stockholm, Stockholm, Sweden Wolt Full time

About the Role

The Search Relevance team at Wolt owns the ML components of the Search stack, responsible for retrieving and ranking restaurants, stores, dishes, and items. This team's capabilities enable Wolt to provide relevant results for customer queries across various touchpoints.

As a Senior Machine Learning Engineer, you will develop, train, deploy, and maintain retrieval and ranking models to surface the right content for customers' queries.

Key Responsibilities:

  1. Develop and maintain retrieval and ranking models for Search.
  2. Work at scale, handling 28 markets with multiple languages and millions of customers.
  3. Collaborate with cross-disciplinary teams to provide solutions impacting business KPIs.
  4. Build the team's ML infrastructure and improve engineering excellence.
  5. Monitor, maintain, and troubleshoot the Search Relevance ML stack.
  6. Contribute to MLOps practices and liaise with the ML Platform team.

Requirements

You have at least 4+ years of experience in ML/MLOps, with a focus on end-to-end deployments and maintenance. You should have deployed ML models in production at scale, with a solid understanding of ML and MLOps principles, as well as software engineering experience in Python. Experience with Docker, Kubernetes, workflow orchestration tools, model and experiment registries, and model serving systems is also required.

Domain experience in Search is highly valued, particularly in building, managing, and improving highly performant search solutions. Excellent communication and collaboration skills are essential for coordinating initiatives with technical and non-technical stakeholders.



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