Machine Learning Engineer, ML Platform
Helsinki, Finland
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
We are looking for a Machine Learning Engineer to join our Machine Learning Platform Team!
The ML Platform team builds and operates our in-house ML tooling and empowers other teams across the organization to build ML products from search and personalization to time-estimates, forecasting, embedding pipelines and generative AI.
Our platform consists of our exploration and training infrastructure, model tracking and deployment as well as our feature engineering platform. We make use of and contribute back to leading open source projects in the ML space but increasingly build our own tools to match Wolt’s global scale. We view ourselves as a product team that aims to provide a wolt-grade user experience to anyone in the company that is working with machine learning and AI.
As a Machine Learning Engineer on our team, you will work closely with our stakeholders to understand their needs and develop scalable solutions. Your day-to-day work will involve designing and implementing new tools, optimizing existing pipelines, and ensuring seamless integration with our platform. You’ll collaborate with cross-functional teams to help them deliver impactful ML solutions that power our products. Your contributions will directly influence how machine learning shapes the future at Wolt.
Feel free to check out these posts and talks we published:
Machine Learning at Wolt: Our journey towards MLOps
Scaling Open Source ML: How Wolt Uses K8s To Deliver Great Food to Millions - Kubecon Europe 2022
End-To-End ML With Flyte by Wolt - Jan 25 Flyte OSS Sync Up
📍This role can be based in one of our tech hubs in Helsinki, Berlin, or Stockholm. Read more about our hybrid and remote setup here.
Qualifications
You have a background in software engineering and/or machine learning engineering and have experience with the ML lifecycle, from exploration and training to deployment and monitoring.
Previous experience of working with or as an Applied Scientist is also helpful in order to be able to speak the same language with the different applied science teams.
You have a user-focused mindset, considering big picture and impact of the final internal platform user, beyond the technical implementation and development
We work with Python, Snowflake, Kafka, Postgres, Ray, AWS & Kubernetes. Previous experience with those technologies is highly recommended but don’t worry, we’re not expecting you to know everything before joining!
Good communication and collaboration skills are essential to be able to work with different teams at Wolt and to collaborate with our stakeholders.
We also value taking ownership beyond the obvious, your motivation to learn new things and willingness to teach and share with your colleagues at Wolt.
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 (fernanda.prado.e.silva@wolt.com).
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Engineering Feature engineering Generative AI Kafka Kubernetes Machine Learning MLOps Open Source Pipelines PostgreSQL Python Snowflake
Perks/benefits: Career development Equity / stock options
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