Deep Learning Engineer for Game Tech — Production ML
Deep Learning Engineer for Game Tech — Production ML

Deep Learning Engineer for Game Tech — Production ML

Full-Time 60000 - 80000 £ / year (est.) No home office possible
PlayStation Network

At a Glance

  • Tasks: Create groundbreaking machine learning solutions for the gaming industry.
  • Company: Leading gaming company in London with a global team.
  • Benefits: Discretionary bonus, private medical insurance, and 25 days holiday.
  • Why this job: Join a creative team and tackle exciting challenges in advanced gaming tech.
  • Qualifications: Strong background in Deep Learning, Pytorch, and 3D maths.

The predicted salary is between 60000 - 80000 £ per year.

A leading gaming company in London is hiring an Experienced Deep Learning Engineer for Game Technology. The role involves developing innovative machine learning solutions for games, collaborating with teams worldwide.

Candidates should have a strong background in Deep Learning, proficiency in Pytorch, and a solid understanding of 3D maths.

The company offers benefits such as a discretionary bonus, private medical insurance, and 25 days holiday per year.

Join a creative team tackling exciting challenges in advanced gaming technology.

Deep Learning Engineer for Game Tech — Production ML employer: PlayStation Network

As a leading gaming company based in London, we pride ourselves on fostering a dynamic and innovative work culture that encourages creativity and collaboration. Our employees enjoy a range of benefits including a discretionary bonus, private medical insurance, and generous holiday allowances, alongside ample opportunities for professional growth in the rapidly evolving field of game technology. Join us to be part of a passionate team dedicated to pushing the boundaries of gaming through advanced machine learning solutions.
PlayStation Network

Contact Detail:

PlayStation Network Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Deep Learning Engineer for Game Tech — Production ML

Tip Number 1

Network like a pro! Reach out to folks in the gaming industry, especially those working with machine learning. A friendly chat can open doors and give you insights that might just land you that Deep Learning Engineer role.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects in Deep Learning and Pytorch. Whether it's a game-related ML project or something else, having tangible examples of your work can really impress potential employers.

Tip Number 3

Prepare for technical interviews by brushing up on your 3D maths and ML concepts. Practice coding challenges and be ready to discuss your thought process. We want you to shine when it comes to problem-solving!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our creative team tackling exciting challenges in advanced gaming technology.

We think you need these skills to ace Deep Learning Engineer for Game Tech — Production ML

Deep Learning
Pytorch
3D Maths
Machine Learning Solutions
Collaboration
Problem-Solving Skills
Creativity
Technical Proficiency

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your experience with Deep Learning and Pytorch in your application. We want to see how your skills can contribute to our innovative game tech solutions!

Get Technical: Don’t shy away from showcasing your understanding of 3D maths. We’re looking for someone who can tackle complex challenges, so let us know how you’ve applied these concepts in your past work.

Be Creative: Since we’re all about creativity in gaming, feel free to share any unique projects or ideas you’ve worked on. This is your chance to stand out and show us what you can bring to the team!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and get you into the process quickly. Don’t miss out on this exciting opportunity!

How to prepare for a job interview at PlayStation Network

Know Your Deep Learning Stuff

Make sure you brush up on your deep learning concepts, especially those related to game technology. Be ready to discuss your experience with Pytorch and how you've applied it in past projects. Having specific examples at hand will show your expertise and passion for the field.

Brush Up on 3D Maths

Since a solid understanding of 3D maths is crucial for this role, take some time to review key concepts. Be prepared to explain how these principles apply to machine learning in gaming. This will demonstrate your technical prowess and ability to tackle complex challenges.

Show Off Your Collaboration Skills

This position involves working with teams worldwide, so highlight your teamwork experiences. Share examples of how you've successfully collaborated on projects, especially in diverse environments. This will show that you're not just a tech whiz but also a great team player.

Ask Insightful Questions

Prepare thoughtful questions about the company's projects and future directions in game technology. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values. Plus, it gives you a chance to engage with your interviewers on a deeper level.

Deep Learning Engineer for Game Tech — Production ML
PlayStation Network

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