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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.
- Other info: Dynamic environment with opportunities for professional growth and collaboration.
- 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 42000 - 84000 £ 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 in London 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 in London
✨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 don’t be shy about sharing your code and results.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML concepts and coding challenges. We recommend practicing with platforms that focus on algorithmic problems, so you’re ready to impress during those tricky coding tests.
✨Tip Number 4
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 take the initiative to connect directly with us.
We think you need these skills to ace Senior On-Device ML Engineer for Games in London
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!
Tailor Your Application: Customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We love seeing candidates who take the time to connect their expertise with what we’re looking for.
Keep It Clean and Optimised: Just like the code you’ll be writing, your application should be clear and concise. Avoid jargon and make it easy for us to see your qualifications at a glance.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
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.
✨Showcase Your ML Knowledge
Since this role is all about machine learning, be prepared to talk about your experience with deploying ML models. Bring examples of how you've integrated ML into games or other applications, and be ready to discuss the challenges you faced and how you overcame them.
✨Understand GPU Programming
Familiarise yourself with GPU programming concepts, as this is a key part of the role. Be ready to explain how you’ve used GPUs in your previous work and any specific frameworks or tools you’ve employed. This will show that you’re not just a coder but someone who understands the hardware side too.
✨Emphasise Collaboration Skills
This position involves working closely with various teams, so highlight your collaboration skills. Prepare examples of how you’ve worked with cross-functional teams in the past, and be ready to discuss how you handle feedback and contribute to a team environment.