Machine Learning Engineer (MLOps) – Search

Company Description

Wolt is a Helsinki-based technology company that provides an online platform for consumers, merchants and couriers. It connects people looking to order food and other goods with people interested in selling and delivering them. To enable this, Wolt develops a wide range of technologies from local logistics to retail software and financial solutions – as well as operating its own grocery stores under the Wolt Market brand. Wolt’s products include Wolt+ (subscription service for customers), Wolt for Work (meal benefits and office deliveries for companies), Wolt Drive (fast last-mile deliveries for merchants) and Wolt Self-Delivery (service for merchant partners with their own delivery staff). Wolt’s mission is to make cities better by empowering and growing local communities. Wolt was founded in 2014 and joined forces with DoorDash in 2022. DoorDash operates in 29 countries today, 25 of which are with the Wolt product and brand.

Working in Product Development at Wolt

At Wolt, we’re about getting things done. You’ll probably enjoy it here if you like taking ownership, developing yourself and being around friendly, humble and ambitious people. 

The behind the scenes of Wolt is run by an awesome bunch of over 700+ planners, builders, designers and data crunchers. We call ourselves Product+, as we’re the very core of Wolt’s products, tools and platforms. To build our products, we work in over 60  cross-functional, independent and autonomous teams. Teams are made up of a mix of talented individuals: engineers, designers, data scientists, analysts, and product leads. Each team takes ownership for solving customer problems in the best possible way.

Our Commitment to Diversity, Equity & Inclusion

We want to have all sorts of people in our team – people like you and me, and people different from you and me. To be able to work with diverse teammates – when it comes to gender, age, ethnicity, life background, sexual orientation, political views, religion, or any other personal trait – we consciously aim to offer equal opportunity for everyone to work with us. This is because we believe diverse teams make the most thought-through decisions and build things in the most inclusive way.

Join us today to build Wolt together.

Job Description

The Search Relevance team, within Wolt’s Search department, owns the ML components of the Search’s stack that retrieve and rank restaurants, stores, dishes and items. Thanks to the team’s ML capabilities, Wolt can find the right results for a customer query in different touchpoints of our customers’ journey. 

As a Machine Learning Engineer in Wolt’s Search Relevance team you will:

• Develop, train, deploy and maintain retrieval and ranking models that will surface the right content for our customers’ queries;

• Work at Wolt’s scale: Wolt operates in 25 different markets with as many languages and millions of customers;

• Be part of a cross-disciplinary team with Data 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 our MLOps practices and liaise with Wolt’s ML Platform team.

📍This role can be based in one of our tech hubs in Berlin, Helsinki, or Stockholm, or you can work remotely anywhere in Finland, Sweden, Germany, Denmark, and Estonia. Read more about our remote setup here. If you live outside of these countries – not to worry! We provide relocation support to help you make your way to Finland, Germany or Sweden.

Qualifications

• You are experienced in end-to-end machine learning deployments and maintenance of ML systems and have at least 3+ years of experience in ML/MLOps;

• You have deployed and ran ML models in production at scale;

• You bring solid experience in scaling and troubleshooting machine learning deployments to the table. You can help with the technical issues the teams encounter;

• 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);

• Domain experience in Search and/or Personalization is a plus.

Additional Information

The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us!

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.

For any further questions about the position, you can turn to Product+ Talent Acquisition Partner – Fernanda Prado e Silva ([email protected]).