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- Tasks: Develop cutting-edge machine learning models for game development and automation.
- Company: Epic Games creates award-winning games and innovative engine technology globally.
- Benefits: Enjoy comprehensive benefits, including health insurance, mental well-being support, and a cycle to work scheme.
- Why this job: Join a creative team pushing the boundaries of gaming technology and making a real impact.
- Qualifications: PhD in Computer Science or 3+ years of experience in machine learning and deep learning.
- Other info: Epic values diversity and inclusivity, fostering a welcoming work culture.
The predicted salary is between 43200 - 72000 £ per year.
WHAT MAKES US EPIC?
At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating.
Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development.
ENGINEERING – GAMES
What We Do
Unreal projects have been leading the pack of real-time entertainment with our constantly growing team of engineering experts. We’re always improving on the tools and technology that empower content developers worldwide.
What You\’ll Do
You will work with our team of applied research engineers at the intersection of computer vision, natural language processing and machine learning to create state-of-the-art tools to support game developers in our ecosystem, as well as automation of a number key areas, including localization, moderation, and testing. You will be responsible for the design, implementation and deployment of production-ready machine learning models that can be integrated in our ecosystem, with various applications (e.g. content generation, development assistants, etc.).
In this role, you will
- Create and deliver production-ready, scalable and high-quality machine learning models and associated algorithms
- Critically assess the effectiveness of such models and make recommendations for the ongoing roadmap
- Methodically understand and assess the effectiveness of new data channels and support collection/creation of new ones
What we\’re looking for
- PhD in Computer Science, Mathematics or related field, or 3+ years of relevant industry experience
- Experience creating / applying machine learning algorithms for vision (2D or 3D) or language problems and deploying them as production-level systems
- Expert, hands-on knowledge of:
- Deep learning, incl. but not limited to applications in the gaming industry
- Foundational models and vision and/or language, incl. local deployment of open models, continued training and fine-tuning cloud and local models
- Python and associated ML tools/frameworks (numpy, scipy, sklearn, pytorch)
- Experience with working collaboratively with other developers, following a flexible/agile/lean approach
EPIC JOB + EPIC BENEFITS = EPIC LIFE
We pay 100% for benefits except for PMI (for dependents). Our current benefits package includes pension, private medical insurance, health care cash plan, dental insurance, disability and life insurance, critical illness, cycle to work scheme, flu shots, health checks, and meals. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents.
ABOUT US
Epic Games spans across 25 countries with 46 studios and 4,500+ employees globally. For over 25 years, we\’ve been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic\’s award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent.
Like what you hear? Come be a part of something Epic!
Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here .
Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here .
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Machine Learning Engineer employer: Houston Texans
Contact Detail:
Houston Texans Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning, particularly in computer vision and natural language processing. Being well-versed in current trends and technologies will help you stand out during discussions with our team.
✨Tip Number 2
Engage with the gaming community and showcase your projects on platforms like GitHub or personal blogs. This not only demonstrates your skills but also shows your passion for the industry, which aligns with our collaborative culture.
✨Tip Number 3
Network with professionals in the field by attending relevant conferences or meetups. Building connections can provide insights into our work environment and may even lead to referrals within our team.
✨Tip Number 4
Prepare to discuss your experience with deploying machine learning models in production settings. Be ready to share specific examples of challenges you've faced and how you overcame them, as this will resonate with our focus on practical applications.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in machine learning, particularly in computer vision and natural language processing. Include specific projects or roles where you've applied deep learning techniques, especially in the gaming industry.
Craft a Compelling Cover Letter: In your cover letter, express your passion for game development and how your skills align with Epic's mission. Mention any collaborative projects you've worked on and how you can contribute to their innovative environment.
Showcase Your Technical Skills: Clearly outline your expertise in Python and machine learning frameworks like PyTorch, as well as your experience with deploying production-level systems. Provide examples of algorithms you've created or improved, especially those relevant to gaming applications.
Highlight Your Research Experience: If you have a PhD or relevant industry experience, detail your research work related to machine learning models. Discuss any publications or presentations that demonstrate your knowledge and contributions to the field.
How to prepare for a job interview at Houston Texans
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning algorithms, especially in computer vision and natural language processing. Bring examples of projects where you've successfully implemented these technologies, and be ready to explain your thought process and the challenges you faced.
✨Understand Epic's Culture
Familiarise yourself with Epic Games' collaborative and innovative environment. Highlight how your values align with theirs, and be ready to discuss how you can contribute to their mission of empowering game developers and enhancing user experiences.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice explaining your approach to designing and deploying machine learning models, and be ready to tackle hypothetical scenarios related to game development and automation.
✨Demonstrate Team Collaboration
Since the role involves working closely with other developers, be prepared to discuss your experience in collaborative environments. Share examples of how you've successfully worked in agile teams, and emphasise your ability to adapt and communicate effectively with colleagues.
