Software Engineer, Feature Engineering Platform

6 дн. назад

ГерманияФинляндияШвеция+1

apisdk

Build and evolve APIs, SDKs, and platform integrations for a feature engineering platform supporting machine learning workflows.

At , we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at isn’t always easy, but it’s definitely exciting. Here 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. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.

We’re building a new Feature Engineering Platform that will be the front door to ML development at global scale. As a Software Engineer on this team, you’ll help build a seamless experience for ML practitioners across the company — from experimentation and exploration to deployment and monitoring.
Our mission is to make machine learning accessible and intuitive without compromising on power or performance. You’ll work on a layered platform that supports both high-level declarative workflows and lower-level imperative APIs, all integrated into the environments our users already work in (like notebooks and internal sandboxes).
Build and evolve APIs, SDKs, and platform integrations that power feature engineering workflows.
Help shape user-facing tools to make the platform approachable for all skill levels.
Collaborate across the ML lifecycle — from data ingestion to feature serving — and integrate tightly with our central Data Control Plane.
Contribute to platform reliability, testing, observability, and operational excellence.

Solid engineering background, ideally in platform, data, or ML-adjacent teams.
Comfortable working with backend systems, APIs, and ideally some exposure to distributed compute (e.g. Spark, Flink).
Empathy for users and interest in building abstractions that remove friction.
Curious and collaborative mindset — eager to learn from others and contribute broadly.
Experience with ML tooling, or data pipelines is a plus.

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.