Advanced Machine Learning Engineer for Large-Scale Search Solutions
6 hours ago
Wolt's Search Relevance team is responsible for the ML components of the Search stack that retrieve and rank restaurants, stores, dishes, and items. This enables Wolt to find the right results for customer queries across various touchpoints in our customers' journey.
About the RoleWe are seeking a Senior Machine Learning Engineer to join our team. As a key member, you will develop, train, deploy, and maintain retrieval and ranking models that surface relevant content for our customers' queries.
You will work at Wolt's scale, with operations in 28 markets, multiple languages, and millions of customers. You will collaborate with a cross-disciplinary team of Applied Scientists, Software Engineers, and Analysts to provide solutions that directly impact our business KPIs.
Key Responsibilities- Develop, train, deploy, and maintain retrieval and ranking models.
- Work on large-scale search solutions, ensuring high performance and efficiency.
- Collaborate with the team to identify areas for improvement and implement changes.
- Contribute to the development of MLOps practices and liaise with Wolt's ML Platform team.
- At least 4+ years of experience in ML/MLOps, with a strong background in machine learning deployments and maintenance.
- Demonstrated experience in deploying and running ML models in production at scale.
- Solid understanding of ML and MLOps principles, as well as software engineering experience in Python.
- Familiarity with Docker, Kubernetes, workflow orchestration tools, model and experiment registries, and model serving systems.
- Domain experience in Search is highly desirable.
This role offers a negotiable combination of monthly pay and DoorDash RSUs. The latter provides a unique opportunity to own a piece of the company's growth and success.
The position will be filled when we find the right person. If you believe you have the skills and experience required for this role, please apply.
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