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- Tasks: Design and maintain machine learning solutions for games while writing clean, optimised code.
- Company: Join a leading gaming development team with a passion for innovation.
- Benefits: Competitive salary, continuous learning opportunities, and a chance to contribute to the ML community.
- Why this job: Make an impact in the gaming world by deploying cutting-edge ML models.
- Qualifications: 7+ years in C++, GPU programming knowledge, and a relevant degree.
The predicted salary is between 43200 - 72000 £ per year.
A leading gaming development team is seeking a Senior Software Engineer to join their Machine Learning team. You will design and maintain robust solutions for deploying machine learning models in games, collaborate with experts across the organization, and write clean, optimized code.
The ideal candidate has over 7 years of experience in C++, good knowledge of GPU programming, and a relevant degree. This role includes opportunities for continuous learning and contribution to the ML community within the company.
Senior On-Device ML Engineer for Games employer: Frostbite
Contact Detail:
Frostbite Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior On-Device ML Engineer for Games
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming and ML community on LinkedIn or at events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving C++ and GPU programming. We want to see your work in action, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and ML concepts. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format and types of questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior On-Device ML Engineer for Games
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 7+ years of experience in C++ and any relevant projects you've worked on. We want to see how your background aligns with the role, so don’t hold back!
Get Technical: Since this role involves GPU programming, include any specific experiences or projects that showcase your skills in this area. We love seeing candidates who can dive deep into the technical side of things.
Keep It Clean and Optimised: When writing your application, aim for clarity and conciseness. Just like we value clean code, we appreciate applications that are easy to read and straight to the point.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Frostbite
✨Know Your C++ Inside Out
Make sure you brush up on your C++ skills before the interview. Be ready to discuss your past projects and how you've optimised code in real-world applications. They’ll likely ask you to solve coding problems, so practice common algorithms and data structures.
✨Show Off Your GPU Programming Knowledge
Since this role involves GPU programming, be prepared to talk about your experience with it. Bring examples of how you've used GPU acceleration in your previous work, and be ready to discuss the challenges you faced and how you overcame them.
✨Demonstrate Your ML Expertise
Familiarise yourself with the latest trends in machine learning, especially as they relate to gaming. Be ready to discuss how you would approach deploying ML models in games and any relevant frameworks or tools you’ve used in the past.
✨Ask Insightful Questions
Prepare some thoughtful questions about the team and their projects. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values. Ask about their current ML initiatives and how you can contribute to the community within the company.