Software Engineer - On Device Machine Learning

Global Sports Jobs Limited; Guildford; Presencial; GBP 70.000 - 100.000; Jornada completa

Descripción de la vacante

Electronic Arts in the UK is seeking a Software Engineer to develop and integrate runtime machine learning solutions for on-device gameplay. You will work with engine development leaders, game teams, and researchers to deploy ML models inside Frostbite-enabled EA games.

The role requires 5+ years of C++ software engineering, GPU programming, and hands-on ML experience with frameworks like PyTorch or TensorFlow. You will contribute to end-to-end ML systems and advance on-device performance.

Formación

• 5+ years hands-on software engineering with C++ and multithreading.
• Experience profiling and optimizing real-time software.
• Experience with ML frameworks PyTorch or TensorFlow.
• Experience shipping end-to-end ML systems in production environments.
• Knowledge of GPU programming and ONNX or similar representations.

Responsabilidades

• Evaluate, adapt, extend, and improve ML runtime technologies.
• Collaborate with ML experts to scale models for on-device performance.
• Translate ML tradeoffs and constraints for diverse audiences.
• Build end-to-end ML models across multiple devices.
• Write clean, well-documented, well-tested code that fits existing systems.
• Stay updated on Deep Learning, RL, Generative AI developments.
• Contribute to EA ML/AI communities and mentor teammates.

Conocimientos

C++

Multithreading

Performance optimization

Profiling

CI/CD

Agile development

PyTorch

TensorFlow

ONNX

GPU programming

Game programming

End-to-end ML systems

Educación

BSc/MSc in CS/Engineering/Math

Herramientas

Git

CI/CD pipelines

Code reviews

Descripción del empleo

About the Role

We are looking for a Software Engineer with expertise in developing and integrating runtime machine learning solutions to join our team. You will report to a Leader of Engine Development and collaborate with game teams, central technology engineers, and researchers to bring ML models into the hands of our players by deploying them directly within EA games.

Key Responsibilities

• Evaluate, adapt, extend, and improve existing machine learning runtime technologies, while designing and implementing new solutions from the ground up when needed.
• Partner with ML experts across EA to assess, apply, and scale models and architectures for on-device performance.
• Translate ML concepts, tradeoffs, risks, and technical constraints into clear language for different audiences.
• Build end-to-end solutions for running machine learning models across a variety of devices.
• Write clean, well-documented, and well-tested code that integrates smoothly with existing systems.
• Stay current with advancements in Deep Learning, Reinforcement Learning, Generative AI, and related fields by exploring industry developments, identifying relevant research, and proposing ways to apply it.
• Contribute to Frostbite's and EA's ML/AI communities by sharing knowledge, collaborating with partners, and mentoring teammates.

Required Experience & Qualifications

• 5+ years of hands‑on software engineering experience with C++, including an understanding of multithreading and performance optimization.
• Experience profiling and optimising real‑time software.
• Practical experience with software engineering fundamentals, including version control, code reviews, documentation, automated testing, coding standards, CI/CD, issue tracking, and Agile development.
• Knowledge of ML frameworks such as PyTorch or TensorFlow.
• Experience building and shipping end-to-end ML systems in real‑world production environments.
• A BSc or MSc in Computer Science, Engineering, Mathematics, or equivalent professional experience.
• Knowledge of GPU programming.
• Experience with game programming.
• Knowledge of ONNX or other intermediate representations for ML model graphs.