Senior Machine Learning Engineer, Search Experience
3 weeks ago
The Wolt Search Relevance team owns the ML components of the Search stack that retrieve and rank restaurants, stores, dishes, and items. The team's ML capabilities enable Wolt to find the right results for customer queries in different touchpoints of the customer journey.
As a Senior Machine Learning Engineer in Wolt's Search Relevance team, you will:
- Develop, train, deploy, and maintain retrieval and ranking models that surface the right content for customer queries.
- Work at Wolt's scale: Wolt operates in 28 different markets with multiple languages and millions of customers.
- Be part of a cross-disciplinary team with 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's ML stack.
- Contribute to Wolt's MLOps practices and liaise with the 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 we value previous experience building, managing, and improving highly performant search solutions.
- You have solid communication and collaboration skills and are experienced in coordinating initiatives with your team and main technical and non-technical stakeholders.
Additional Information:
The position will be filled as soon as we find the right person. The compensation will be a negotiable combination of monthly pay and DoorDash RSUs.
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