Machine Learning Engineer, Personalization
Role details
Job location
Tech stack
Job description
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.
What you'll be doing
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 to adopt different ML technologies and to create technical requirements for their solutions;
Contribute to Wolt ML Engineering and Applied Science communities;
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
Requirements
Do you have experience in Python?, You are experienced in end-to-end machine learning deployments and maintenance of ML systems and have at least 2+ years of experience in ML/MLOps; You have deployed and ran ML models in production at scale, maybe with hundreds of RPS and low latency; You bring solid experience in scaling solutions, monitoring ML stacks and troubleshooting ML deployments to the table. You can help with the technical issues the teams encounter; You are experienced in implementing real-time inference ML models in production; Good understanding of ML and MLOps principles as well as Software engineering experience in Python should complete your profile; Experienced in Docker, Kubernetes, workflow orchestration tools (e.g. Flyte), model and experiment registries (e.g. MLflow) and model serving systems (e.g. Seldon); You have solid communication and collaboration skills and are experienced in coordinating initiatives with your team and main stakeholders. What we offer
You will own and drive technical solutions within the ML engineering space for the Discovery Experience department, ensuring they are robust, scalable, and aligned with business goals. With a strong ability to work independently, you'll take ownership from ideation through delivery.
Benefits & conditions
The compensation will be a negotiable combination of monthly pay and DoorDash RSUs. The latter makes it exceptionally easy to be excited about our company growing and doing well, as you'll own a piece of the pie.
Our Commitment to Diversity and Inclusion
We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
TeamTech blogHow we workOur cultureOur people Engineering at Wolt
We build the technologies powering Wolt. Our apps connect millions of customers, hundreds of thousands of courier partners, and tens of thousands of shops and restaurants. We now operate in 30 countries, 500+ cities and we're growing fast.
We build at scale, are laser-focused on building world-class customer experiences, and do things with heart. Dive with us into the complex problems of building the delivery of (almost) everything.
Engineering at Wolt What we're working on
On this journey towards delivery of (almost) everything, we're building a wide suite of products - from the systems powering our own Wolt Market stores, to our support tooling, and even fintech solutions.
Get a sneak peek into what we're working on through our Wolt Tech blog, Wolt Tech Talks podcast, and more from the link below.
@WoltEngineering We build beautiful products, the Wolt way
We like to do things well and move fast. Doing that requires less red tape and more trust.
At Wolt, every product team has the resources, talent, and autonomy they need to deliver the task at hand. This way our teams stay close to their customers. They work how they see best, and in return, they're responsible for seeking alignment and owning the outcome.
Our Product Playbook Our culture
At Wolt, 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. All of which comes from working with passionate, caring, down-to-earth and super-smart people.
Our culture
"Wolt is a great environment for screwing up, learning from that, growing, and moving on to do things better. We never blame anyone for mistakes, we just make sure we can learn from them"
- Kimbo, Software Engineer
Read Kimbo's story Team Engineering at Wolt
We build the technologies powering Wolt. Our apps connect millions of customers, hundreds of thousands of courier partners, and tens of thousands of shops and restaurants. We now operate in 30 countries, 500+ cities and we're growing fast.
We build at scale, are laser-focused on building world-class customer experiences, and do things with heart. Dive with us into the complex problems of building the delivery of (almost) everything.
Engineering at Wolt Tech blog What we're working on
On this journey towards delivery of (almost) everything, we're building a wide suite of products - from the systems powering our own Wolt Market stores, to our support tooling, and even fintech solutions.
Get a sneak peek into what we're working on through our Wolt Tech blog, Wolt Tech Talks podcast, and more from the link below.
@WoltEngineering How we work We build beautiful products, the Wolt way
We like to do things well and move fast. Doing that requires less red tape and more trust.
At Wolt, every product team has the resources, talent, and autonomy they need to deliver the task at hand. This way our teams stay close to their customers. They work how they see best, and in return, they're responsible for seeking alignment and owning the outcome.
Our Product Playbook Our culture Our culture
At Wolt, 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. All of which comes from working with passionate, caring, down-to-earth and super-smart people.
Our culture Our people
"Wolt is a great environment for screwing up, learning from that, growing, and moving on to do things better. We never blame anyone for mistakes, we just make sure we can learn from them"
