At a Glance
- Tasks: Apply Machine Learning to enhance game features and create AI-driven experiences.
- Company: Join EA SPORTS FC, a leader in football gaming innovation.
- Benefits: Enjoy healthcare coverage, mental well-being support, and paid time off.
- Other info: Collaborative environment with opportunities for continuous learning and growth.
- Why this job: Shape the future of gaming with cutting-edge ML technology and immersive player experiences.
- Qualifications: BS in Computer Science or related field, strong C++ and Python skills.
The predicted salary is between 63000 - 77000 £ per year.
Overview
In this role you apply Machine Learning to enhance FC game features, partnering with a cross-functional team to research, prototype, and productize AI-driven experiences.
You will optimize on-device inference and help push the frontier of ML within a high-profile football gaming platform.
Your work supports immersive, authentic player experiences and scalable AI features across platforms.
You will share knowledge, advocate best practices, and stay ahead of ML advances to shape the FC experience.
- Pay / Benefits
- healthcare coverage
- mental well-being support
- retirement savings
- paid time off
- family leaves
- complimentary games
Responsibilities
- Research and evaluate ML models for applications such as speech, NLP, and procedural content generation in FC games
- Tailor model functionality and inference frameworks to FC requirements and integrate into game systems
- Optimize on-device C++ runtime inference for target platform constraints and performance KPIs
- Share knowledge with game teams to help design and ship features
- Evangelize ML practices through presentations and demos within the team
- Stay updated on ML advancements and collaborate with internal experts and external vendors to identify opportunities
- Key requirements
- BS in Computer Science, Mathematics or related field, or equivalent experience
- Strong programming fundamentals in C++ and Python
- Experience optimizing ML inference systems for real-time constraints
- Proven track record building, deploying and maintaining ML applications in product software
- cross-functional collaboration
- clear communication
- curiosity and continuous learning
- C++
- Python
- ML frameworks (Py Torch, Tensor Flow)
Senior Software Engineer, Machine Learning - EA SPORTS FC in Southam employer: Electronic Arts
Electronic Arts is an exceptional employer, offering a vibrant and inclusive work culture that fosters creativity and innovation. With studios in both Stockholm and Guildford, employees benefit from a collaborative environment where their ideas are valued, alongside comprehensive wellness programs that support personal and professional growth. Join us to be part of a passionate team dedicated to shaping the future of gaming while enjoying unique perks like complimentary games and flexible work arrangements.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer, Machine Learning - EA SPORTS FC in Southam
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Electronic Arts or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Electronic Arts.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Electronic Arts.
✨Explore Job Boards Specifically for Tech Roles
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We think you need these skills to ace Senior Software Engineer, Machine Learning - EA SPORTS FC in Southam
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Electronic Arts.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Electronic Arts and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Electronic Arts
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Electronic Arts uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
