Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Research and develop Machine Learning features to enhance player experiences in gaming.
- Company: Join EA SPORTS, a leader in revolutionising gaming entertainment.
- Benefits: Enjoy comprehensive benefits including healthcare, mental well-being support, and paid time off.
- Why this job: Make a real impact on the future of gaming with cutting-edge technology.
- Qualifications: Proficiency in C++ and Python, with experience in AI and Machine Learning.
- Other info: Collaborative environment fostering creativity and innovation, with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
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.
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.
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.
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.
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.
#J-18808-Ljbffr
Software Engineer, Machine Learning employer: Electronic Arts Inc.
Contact Detail:
Electronic Arts Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer, Machine Learning
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at EA or similar companies. Attend meetups, webinars, or even gaming events to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Machine Learning projects, especially those related to gaming. This is your chance to demonstrate your expertise and creativity, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and approach problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, keep an eye on our careers page for new openings that match your skills and interests.
We think you need these skills to ace Software Engineer, Machine Learning
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your experience with C++ and Python. We want to see how you've used these languages in real projects, especially in AI and Machine Learning. Don't hold back on showcasing any cool features you've developed!
Tailor Your Application: Make your application stand out by tailoring it to the job description. Mention specific Machine Learning models or techniques you've worked with that relate to automatic speech recognition or natural language processing. This shows us you understand what we're looking for!
Share Your Passion: We love seeing candidates who are passionate about Machine Learning! In your application, share any personal projects or research you've done in this field. It helps us get a sense of your enthusiasm and commitment to staying updated with the latest advancements.
Apply Through Our Website: Don't forget to apply through our website! It's the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our team and culture while you're at it!
How to prepare for a job interview at Electronic Arts Inc.
✨Know Your ML Models
Make sure you brush up on the latest Machine Learning models and techniques relevant to the job. 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 technical prowess.
✨Engage with the Team
EA values collaboration, so be prepared to discuss how you've worked with others in the past. Share examples of how you've engaged with team members to develop and ship features, and highlight any presentations or demonstrations you've led.
✨Stay Current
Keep yourself updated on the latest advancements in Machine Learning. During the interview, mention any recent trends or technologies you've explored, and be ready to discuss how they could apply to the role at EA SPORTS.
