data-science

Wolt

<div><section><div><p></p><h2>Company Description</h2></div><div><p>Wolt is a technology company that makes it incredibly easy to discover and get the best restaurants, grocery stores and other local shops delivered to your home or office. Wolt is not just a delivery app – we’re a technology company building a commerce platform to seamlessly connect our millions of customers with thousands of merchant and courier partners, in real-time across 23 countries and 250+ cities. Our apps (iOS and Android) have the industry’s highest ratings, largely thanks to our customer-first-mindset, which shows in how we build products and run operations. In June 2022 we officially joined forces with DoorDash. Combined, we have a presence in 27 countries, 23 of which operate with the Wolt brand and app. Wolt and DoorDash continue largely independently, with Wolt’s name, brand, product, technology and team.</p><p><strong>Working in Product Development at Wolt</strong></p><p>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. </p><p>The behind the scenes of Wolt is run by an awesome bunch of over 400+ 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 40 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.</p><p><strong>Our Commitment to Diversity, Equity &amp; Inclusion</strong></p><p>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.</p><p>Join us today to build Wolt together!</p><p>#LI-MICHAL</p></div></section><section><div><p></p><h2>Job Description</h2></div><div><p>Team purpose and mission</p><ul><li>Working embedded with Data Scientists and other engineers to develop, deploy, scale and maintain impactful Machine Learning solutions</li><li>Helping data scientists and other engineers with Machine Learning and ML Platform &amp; infrastructure related topics and questions. Increasing the level of ML engineering in the team.</li><li>Monitoring, maintenance and troubleshooting of deployed solutions</li><li>Contributing to our MLOps practices and liaising with the ML Platform team</li><li>We have openings in multiple domains, such as personalisation &amp; recommendations, search, logistics etc.</li></ul><p>📍This role can be based in one of our tech hubs in <strong>Berlin</strong>, Helsinki, or Stockholm, or you can work remotely anywhere in Finland, Sweden, Germany, Denmark, and Estonia. Read more about our remote setup <a href="https://blog.wolt.com/hq/2021/03/23/new-remote-setup-at-wolt-product-work-from-anywhere-in-finland-germany-denmark-estonia/?_gl=1*1spku7f*_ga*MTI0NDgzMTIwNi4xNjU3Njk4NDM4*_ga_CP7Z2F7NFM*MTY2ODUwNDQzOS43NS4xLjE2Njg1MDU2MzcuNDQuMC4w">here</a>. 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.</p></div></section><section><div><p></p><h2>Qualifications</h2></div><div><ul><li>You are experienced in end-to-end machine learning deployments and maintenance of deployed solutions and have at least 3+ years of experience in ML/MLOps.</li><li>Furthermore, you bring solid experience in scaling and troubleshooting machine learning deployments to the table. You can help with the technical issues the teams encounter.</li><li>A good understanding of ML and MLOps principles as well as Software engineering experience in Python should complete your profile.</li><li>Ideally you also have experience in Docker, Kubernetes, Flyte, Seldon Core.</li></ul></div></section><section><div><p></p><h2>Additional Information</h2></div><div><p>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!</p><p>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.</p><p>For any further questions about the position, you can turn to Product+ Talent Acquisition Partner - <a href="http://michal.szafraniec@wolt.com">Michal Szafraniec</a></p></div></section></div>

Data Science - Machine Learning Engineer

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