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- Tasks: Join a dynamic team to develop and integrate Machine Learning features for EA SPORTS games.
- Company: Electronic Arts, a leader in gaming innovation and creativity.
- Benefits: Comprehensive benefits including healthcare, paid time off, and opportunities for growth.
- Why this job: Make an impact in the gaming world with cutting-edge Machine Learning technology.
- Qualifications: Experience in AI, Machine Learning, C++, and Python required.
- Other info: Collaborative environment with a focus on creativity and community.
The predicted salary is between 30000 - 50000 £ per year.
Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.
EA SPORTS is at the forefront of revolutionizing the world of gaming by driving transformational change in how games are made and played. At EA SPORTS, everyone contributes to crafting the future of entertainment, building a community where creativity and innovation thrive.
The FC Generative AI team is researching and developing Machine Learning based game features that will enrich the experience of our players and transform the ways they interact with the FC game.
In this role you will join our cross-functional team to research, develop and integrate Machine Learning models from ideation and requirement analysis to productizing their application in FC game features.
Your responsibilities:
Research and evaluate Machine Learning models and techniques for application in fields that include but are not limited to: automatic speech recognition, natural language processing and procedural content generation.
Tailor the functionality of these models and inference frameworks to fit FC’s requirements and target platform constraints. Integrate them into the game’s systems.
Develop, optimize and polish game features that leverage these models to deliver them to FC players.
Share knowledge on your work by directly engaging with other members of the game team to develop and ship features.
Evangelize the craft through presentations and interactive demonstrations, promoting Machine Learning best practices and applications within the team.
Stay abreast of the latest advancements in the Machine Learning field, consult with internal subject matter experts and collaborate with external AI technology vendors, in order to identify and prototype ML application opportunities within FC.
Required qualifications:
BS in Computer Science, Mathematics or related field, or equivalent professional experience.
Proficiency with C++ and Python.
Professional experience with AI and Machine Learning along with their respective tools and frameworks.
Proven record of building, deploying and maintaining Machine Learning applications in productized software.
Experience with large language models (LLM) applications and retrieval-augmented generation (RAG) techniques.
Preferred qualifications:
PhD or Masters degree in Computer Science, Mathematics or related fields.
Experience with ML frameworks like PyTorch or TensorFlow.
Experience in optimizing ML models for memory and compute constrained real-time environments.
Experience in working with large volumes (GBs/TBs) of data.
Experience in working with cloud technology and platforms. e.g. containers, Kubernetes, Azure or AWS.
About Electronic Arts
We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.
We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
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Senior Software Engineer, Machine Learning - EA SPORTSTM FC employer: Electronic Arts
Contact Detail:
Electronic Arts Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer, Machine Learning - EA SPORTSTM FC
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or gaming conventions. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
Create a portfolio that showcases your Machine Learning projects. Whether it's a GitHub repo or a personal website, let your work speak for itself. This is your chance to shine and show EA SPORTS what you've got!
✨Ace the Interview
Prepare for technical interviews by brushing up on your C++ and Python skills. Practice common ML problems and be ready to discuss your past projects. Confidence is key, so don’t forget to highlight how you can contribute to the team!
✨Apply Through Our Website
Don’t just rely on job boards! Head over to our website and apply directly. It shows initiative and gives you a better chance of getting noticed by the hiring team at EA SPORTS.
We think you need these skills to ace Senior Software Engineer, Machine Learning - EA SPORTSTM FC
Some tips for your application 🫡
Show Your Passion for Gaming: When writing your application, let your love for gaming shine through! Share any personal projects or experiences that highlight your enthusiasm for the industry and how you see yourself contributing to EA SPORTS.
Tailor Your Skills to the Role: Make sure to align your skills and experiences with the specific requirements mentioned in the job description. Highlight your proficiency in C++ and Python, and any relevant Machine Learning projects you've worked on that relate to gaming.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your experiences and achievements, making it easy for us to see how you fit into the team at EA SPORTS.
Apply Through Our Website: We encourage you to submit your application directly through our website. This ensures that your application gets to the right people and helps us keep track of all candidates effectively!
How to prepare for a job interview at Electronic Arts
✨Know Your ML Models
Make sure you brush up on the latest Machine Learning models and techniques relevant to gaming. Be ready to discuss how you've applied these in past projects, especially in areas like automatic speech recognition or natural language processing.
✨Showcase Your Coding Skills
Since proficiency in C++ and Python is key, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges that involve ML applications to show off your expertise.
✨Engage with the Team
EA SPORTS values collaboration, so be prepared to discuss how you've worked in cross-functional teams before. Share examples of how you’ve communicated complex ideas and engaged with team members to develop and ship features.
✨Stay Current
Keep yourself updated on the latest advancements in Machine Learning and AI technologies. Mention any recent trends or tools you've explored, and be ready to discuss how they could be applied to enhance the FC game experience.
