Full Time Job

Senior Research Engineer - Deep Learning

Electronic Arts

Stockholm, Sweden 07-03-2020
  • Paid
  • Full Time
Job Description

SEED Stockholm: Senior Machine Learning Research Engineer - Deep Learning

SEED is a R&D organization within Electronic Arts, whose purpose is to explore new technologies and the creative opportunities that enhance our future games. We explore and create the future of interactive entertainment.

We exist at EA to foster innovation for our games and our players. We do this through research, prototypes, exploration, and never-ending curiosity. We work with game teams and industry partners, and also publish and present our research within our industry and to the public. We pursue long term applied research, yet stay relevant to the present by delivering artifacts along the way to game teams and technology groups inside EA.

We are looking for a Senior Research Engineer to join an expanding team in Stockholm working on applications of deep learning and related techniques for use in interactive entertainment. Areas we are researching include game AI, human-like be

havior, animation, computer vision, physics, body and shape reconstruction, generative models, music / sound generation, and human-computer interaction.

You will work in close collaboration with other researchers and software engineers. We want passionate, curious, communicative and committed people. We also expect our employees to be involved and motivated, and in return we provide great autonomy and true influence.

What skills does SEED seek?
• PhD experience in machine learning, computer science, physics or mathematics
• Knowledge and contributions to machine learning or reinforcement learning, e.g. in the form of research publications, open-source software or workplace experience.
• Interest and knowledge in working with interactive technologies, prefable games, and user experience (UX) research
• Good math skills including, linear algebra, probability theory, and numerical optimization
• Experience with Numpy, Tensorflow, PyTorch or similar ML toolkits
• The ability to read and explain to others, scientific papers on machine learning and computer science, and the ability to prototype and evaluate upon the ideas

We are looking for an open and curious person who explore new ideas and like to share knowledge. You get a kick out of taking new ideas, investigating and adapting them to use cases for gaming. This is a diverse team with big goals, and you will work with many tasks and lead new projects.

You're encouraged to share your work, publish, open source and speak at conferences.

What's in it for you? Glad you asked!

At SEED we take care of our staff and have done so during our steady growth over the last decade. In addition to a great compensation package we offer our employees 10 EA games per year, massage every three weeks, a variety of sports activities (yoga and cross fit to name a few) and health care allowance. We have a collective bargain agreement with Unionen and Sveriges Ingenjörer which includes a parental salary benefit program and also provide our employees' with occupational pension.

At SEED, we value our employees' personal lives. A good work-life balance is something we practice and maintain even during high-intensity periods.

We thought you might also like to know...

As part of the application process we might ask you to take on a practical work test. Apply online with a combined CV and Introduction letter in English by the mid August when we start the interview process with shortlisted candidates.

We welcome people from different backgrounds and look forward to receiving your application!

More information about SEED

Please visit our website and LinkedIn page!

Advertisement
Location
Map
Company Profile
Electronic Arts
Electronic Arts Inc. is a global leader in digital interactive entertainment. EA develops and delivers games, content and online services for Internet-connected consoles, mobile devices and personal computers.
External Application Page

The application for this position is hosted at the Employer's site. Click on the button below to open the application page in a new tab in your browser.

Apply at Employer's Site