# Software Engineer - On Device Machine Learning

**Company**: Electronic Arts
**Location**: Guildford, Surrey
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Ticker**: EA
**Wikidata**: https://www.wikidata.org/wiki/Q173941

**Apply**: https://jobs.ea.com/fr_CA/careers/JobDetail/Software-Engineer-On-Device-Machine-Learning/216019?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_51aedb15-160

## Description

We are seeking a skilled Software Engineer with expertise in developing and integrating runtime machine learning solutions to join our team. As a Software Engineer, you will report to a Leader of Engine Development and collaborate with game teams, central technology engineers, and researchers to deploy ML models directly within EA games.

**Responsibilities:**

- Evaluate, adapt, extend, and improve existing machine learning runtime technologies, and design and implement new solutions as 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 various 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.

- Contribute to Frostbite's and EA's ML/AI communities by sharing knowledge, collaborating with partners, and mentoring teammates.

**Qualifications:**

- 5+ years of hands-on software engineering experience with C++.

- Understanding of multithreading and performance optimisation.

- 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.

**Benefits:**

- Competitive salary

- Comprehensive benefits package, including physical, emotional, financial, professional, and community well-being initiatives

- Opportunities for career growth and development

- Collaborative and dynamic work environment

## Skills

### Required
- C++
- Machine Learning
- Deep Learning
- Reinforcement Learning
- Generative AI
- PyTorch
- TensorFlow
- GPU programming
- Game programming
- ONNX

---

Source: [Apply at jobs.ea.com](https://jobs.ea.com/fr_CA/careers/JobDetail/Software-Engineer-On-Device-Machine-Learning/216019?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)