Machine Learning Engineer

Job Description

DICE (EA Digital Illusions Creative Entertainment), the award-winning studio based in Stockholm, Sweden, is best known for creating the phenomenally successful Battlefield franchise, the Battlefront franchise, and the innovative game Mirror's Edge. We work through our 4 guiding values: Passion with Purpose, Creative Innovation, Everything Quality, and One Community. We recognize that our people are the backbone and driving force of our creative products. As such, we are dedicated to providing everyone the ability to express, learn, and be their very best with a common cause.

We are looking for an experienced Backend Engineer, who is passionate about developing systems and services to support the live operations and online gameplay for our millions of users.

You will work in small teams that work together to create solutions for our games, using modern technologies and frameworks deployed to cloud-based infrastructure. You will work with multiple existing systems; some developed here at DICE, some developed externally. This will require working with a lot of different teams within EA and DICE. You will report into a Technology Craft Manager.

Responsibilities
• You will analyze game designs and propose technical solutions for how they can be achieved.
• Develop distributed, resilient, and high-performing back-end services using Scala.
• Adapt central EA technologies to meet game design needs.
• Use modern open-source stacks including Scala, gRPC, Finagle, Linkerd/Envoy.
• Deploy services on cloud-based infrastructures such as Kubernetes.
• Oversee performance and load testing at the service level.

Requirements
• Experience in distributed, scalable, resilient, high-performing systems
• Knowledge of Git, or similar distributed source management system
• Experience with continuous integration and delivery

Nice to Haves
• Experience with functional languages (Scala, Clojure, Erlang-Elixir, Kotlin, Rust, Swift, F#)
• Experience with cloud deployment, preferably AWS
• Good knowledge of Linux
• Knowledge of C++ or C#
• Knowledge of Kubernetes
• Experience with Docker or similar container formats
• Contributions to Open Source projects is a plus

General Information

As part of the application process, we may ask you to take on a practical work test. The position is permanent, and applications will be selected continuously. Apply online with a combined CV and Cover Letter in English.

Jobcode: Reference SBJ-rznm17-13-58-197-26-42 in your application.