Machine Learning Engineer - MLOps

Company Description

Wolt is a technology firm that simplifies the process of discovering and ordering from top-notch restaurants, grocery stores and other local shops for home or office delivery. Wolt is more than just a delivery application but a technology company that develops a commerce platform linking our millions of customers to thousands of merchant and courier partners in real time across 23 countries and over 250 cities. Our applications (iOS and Android) possess industry-leading ratings, which are mostly attributable to our customer-centric approach reflected in our product development and operations. In June 2022, we officially united with DoorDash, extending our presence to 27 countries, with the Wolt brand and application operating in 23 of these countries. Wolt and DoorDash operate largely independently, maintaining Wolt's name, brand, product, technology and team.

Working in Product Development at Wolt

At Wolt, we're all about accomplishing things. If you're someone who enjoys taking responsibility, self-development, and being around congenial, humble, and driven people, you'd likely thrive here.

The backstage operations of Wolt are managed by an outstanding crew of over 400 planners, builders, designers, and data analysts. We identify ourselves as Product+, serving as the essence of Wolt's products, tools, and platforms. Our products are developed by more than 40 cross-functional, self-sufficient and independent teams comprising a diverse group of skilled engineers, designers, data scientists, analysts, and product leads. Each team is responsible for devising the best possible solutions to customer problems.

Our Commitment to Diversity, Equity & Inclusion

We aim to include a broad spectrum of individuals in our team – people like you and me, and people unlike you and me. In an effort to work with diverse colleagues in terms of gender, age, ethnicity, background, sexual orientation, political views, religion, or any other personal attribute, we deliberately strive to provide an equal opportunity for everyone. This is because we believe diversified teams make better considered decisions and create things in a more inclusive manner.

Join us today to help build Wolt together!

#LI-MICHAL

Job Description

Team purpose and mission

• Work closely with Data Scientists and other engineers to develop, deploy, scale and maintain impactful Machine Learning solutions
• Assist data scientists and other engineers with Machine Learning and ML Platform & infrastructure related topics and inquiries. Enhancing the team's ML engineering capacity.
• Monitor, maintain, and troubleshoot deployed solutions
• Contribute to our practices and coordinate with the ML Platform team
• There are openings in multiple domains, such as personalisation & recommendations, search, logistics, etc.

This job can be based in one of our tech hubs in Berlin, Helsinki, or Stockholm, or you can work remotely from anywhere in Finland, Sweden, Germany, Denmark, and Estonia. Learn more about our remote setup . If you live outside of these countries, don't worry! We provide relocation assistance to help you move to Finland, Germany, or Sweden.

Qualifications

• You have experience in end-to-end machine learning deployments and maintenance of deployed solutions with at least 3+ years of experience in ML/MLOps.
• Moreover, you possess a sound experience in scaling and troubleshooting machine learning deployments. You can provide assistance with the technical issues encountered by the teams.
• You should have a good understanding of ML and MLOps principles as well as Software engineering experience in Python.
• Experience in Docker, Kubernetes, Flyte, Seldon Core would be preferable.

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 extremely exciting to see our company progress and prosper, as you'll have a stake in the company's success.

If you have any additional questions about the position, you can reach out to Product+ Talent Acquisition Partner -