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Senior Machine Learning Engineer, Search
vor 1 Monat
Search Relevance Team
The Search Relevance team at Wolt owns the ML components of the Search stack that retrieve and rank restaurants, stores, dishes, and items. This team's ML capabilities enable Wolt to find the right results for customer queries across different touchpoints in the customer journey.
As a Senior Machine Learning Engineer in the Search Relevance team, you will:
- Develop, train, deploy, and maintain retrieval and ranking models to surface relevant content for customer queries.
- Work at Wolt's scale, operating in 28 markets with multiple languages and millions of customers.
- Collaborate with a cross-disciplinary team of Applied Scientists, Software Engineers, and Analysts to provide solutions to customer problems with a direct impact on the company's business KPIs.
- Build the team's ML infrastructure and raise the team's ML engineering excellence bar.
- Monitor, maintain, and troubleshoot the Search Relevance ML stack.
- Contribute to MLOps practices and liaise with Wolt's ML Platform team.
This role can be based in one of Wolt's tech hubs in Berlin, Helsinki, or Stockholm.
Qualifications
- You have at least 4+ years of experience in ML/MLOps and have deployed and ran ML models in production at scale.
- You bring solid experience in scaling and troubleshooting machine learning deployments and can help with technical issues the teams encounter.
- You are experienced in supporting real-time inference ML models in production and have a good understanding of ML and MLOps principles.
- You have experience in Docker, Kubernetes, workflow orchestration tools, model and experiment registries, and model serving systems.
- Domain experience in Search is highly preferable, and you have solid communication and collaboration skills.
