Wolt
MachineLearningEngineer
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“Machine Learning Engineer at Wolt. Skills: Machine Learning, MLOps, Python, real-time inference. Build the ML infrastructure to develop, train and deploy Wolt’s ranking models. Work end-to-end, from use case design to implementation, delivery and monitoring of your models”
What They're Looking For.
Must Have
end-to-end machine learning deployments, maintenance of ML systems, ML/MLOps, deployed and ran ML models in production at scale, scaling solutions, monitoring ML stacks, troubleshooting ML deployments, implementing real-time inference ML models, ML and MLOps principles, Software engineering experience in Python
Nice to Have
hundreds of RPS and low latency, Docker, Kubernetes, workflow orchestration tools (e. g. Flyte), model and experiment registries (e. g. MLflow), model serving systems (e. g. Seldon)
What You'll Do.
Build the ML infrastructure to develop
train and deploy Wolt’s ranking models
from use case design to implementation
delivery and monitoring of your models
Maintain our production ML stack and raise the team’s ML engineering excellence
Liaise with Wolt’s ML Platform team to adopt different ML technologies and to create technical requirements for their platforms
Contribute to Wolt ML Engineering and Applied Science
How You'll Work.
Team & Collaboration
Liaise with Wolt’s ML Platform team; Be part of a cross-disciplinary team with Applied Scientists, Software Engineers and Analysts; coordinating initiatives with your team and main stakeholders
Communication Scope
solid communication and collaboration skills
Full Job Description
About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Wolt’s Personalization team is responsible for creating a tailored experience for Wolt’s customers across their shopping journey, selecting the best restaurants, dishes or items to match their culinary and shopping preferences across multiple premises such as Discovery, In Venue or Checkout. The Personalization team owns the ML stack, models and integrations that generate real-time recommendations for millions of customers across all Wolt markets. For example, the team is responsible for the models that rank restaurants in Wolt’s Discovery and Restaurants tabs, venues in Wolt’s Discovery and Stores tabs or items in Wolt’s in-venue and cart premises. It also personalises other components in Wolt’s shopping experience such as brands, banners or food categories that are relevant entry points for our customers to explore Wolt’s assortment. As a Machine Learning (ML) Engineer in Wolt’s Personalization team you will: Build the ML infrastructure to develop, train and deploy Wolt’s ranking models that select the content to display to our customers; Work end-to-end, from use case design to implementation, delivery and monitoring of your solutions; Maintain our production ML stack and raise the team’s ML engineering excellence bar; Liaise with Wolt’s ML Platform team
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