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Machine Learning Research Engineer - NLP

As a machine learning engineer at Embark you will be a game maker, using machine learning to create new ways to enhance experiences in interactive entertainment.

You will be spending a lot of time creating natural language interfaces, intelligent tools, and artificial intelligence for games. Your focus will be on using language models to reinvent gaming and game development.

As a machine learning engineer at Embark you will of course collaborate closely with the rest of the game team and studio; together we will make sure to build that enhanced game experience that we today only can imagine!

Example of responsibilities

• Implement working applications from ML methods described in the literature
• Bring game characters to life through conversation and a dynamic understanding of their world
• Create ML-based tools to simplify and amplify game development
• Stay current with new research
• Read, understand, and improve upon methods published in the scientific literature
• If you come up with something novel, publish it!
• Collaborate with designers, content creators and gameplay software engineers

We would love if you have

• A creative and curious mind passionate about machine learning
• Experience from researching and implementing NLP machine learning methods, including conversation and grounded language
• Solid experience with Python, and common ML frameworks
• An interest in games and game/product design
• General software engineering skill is a plus
• Professional English communication skills.
• The ability to be a great team player with great communication skills

At Embark we offer competitive salaries, a generous profit-sharing program and much more, but most of all we invite you to take part of a journey into the unknown, to build creative, surprising and beautiful experiences together.

We welcome people from all backgrounds and are looking forward to reading more about you (in English)!

If this role doesn't quite match what you're looking for, feel free to apply to us via our "Open Application."