Engineering Team Lead Search Relevance
Engineering Team Lead Search Relevance
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
The Search Relevance team owns endtoend Wolts search stack that retrieves and ranks restaurants stores dishes and items for our customers queries. The team combines Software Engineering ML Engineering and Applied Science capabilities to provide highquality results for hundreds of customer queries per second.
Search is a prominent tool in Wolts customer experience. Firstly Wolts global search allows Wolt customers to find venues and products that can be delivered to their location amongst Wolts partners. Secondly Wolts invenue search allows Wolt customers to find the right items within a single stores large assortment. Search is also one of the drivers of Wolts business KPIs as the team can help Wolt customers to find the right products they need having a direct impact on our customers orders and their value.
Wolt is looking for a new Team Lead to accompany the team in their journey of incrementally improving the quality of our search results. As an Engineering Team Lead in Wolts Search Relevance team you will:
Coach mentor and lead a crossdisciplinary team of Software Engineers ML Engineers and Applied Scientists to provide solutions to customer problems with a direct impact on the companys business KPIs.
Collaborate with the departments Heads of Engineering Applied Science and Product to shape the teams vision and delivery roadmap.
Manage the team stakeholders making sure that the team has a healthy balance of impact exploration and tech debt.
Work at Wolts scale: Wolt operates in 27 different markets with as many languages and millions of customers.
Build the teams ML pipelines that retrieve and rank results for Wolts customer queries.
Lead the team on delivering projects such as venue & item ranking query understanding and classification or semantic search.
Guide the team on optimizing our stack and models to serve hundreds of results per second with low latency.
Drive the team KPIs and prove customer and business impact.
Qualifications :
You have a track record of delivering ML to production in scale (ML solutions to millions of users with proven impact).
You have working experience in Search/Personalization/Recommendations or other related domains (e.g. gaming auctioning campaign targeting etc).
You can manage senior stakeholders and advocate for trade offs between speed impact and performance.
Experience in operating and maintaining ML models in production with automated delivery and retraining pipelines.
You know how to evaluate ML models offline which metrics to use and how to compare different variants of a model and how to online evaluate the team contributions.
You have solid experience (minimum 1 year) as a people lead of a crossfunctional team: competence development performance evaluation and review and crossteam collaboration.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
