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For Companies At a Glance
- Tasks: Join our ML engineering team to build and optimize infrastructure for machine learning models.
- Company: Epic Games creates award-winning games and innovative engine technology for immersive experiences.
- Benefits: Enjoy 100% paid benefits, including health insurance, mental well-being programs, and more.
- Why this job: Make a positive impact on millions of players while working in a creative and collaborative environment.
- Qualifications: Experience in engineering, data analytics, and machine learning, with a focus on Python.
- Other info: Be part of a diverse team at a global company with over 4,500 employees.
The predicted salary is between 48000 - 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
Epic Games is looking for a Machine Learning Ops Engineer to support our team of Machine Learning engineers building solutions for internal use cases, such as classifiers for content moderation and security, semantic search, chatbots, etc. Your focus will be building reliable infrastructure for training, validating, serving, and monitoring our ML models at scale. This is an incredible opportunity to create a fun and safe environment for millions of players and make a positive impact on the Epic ecosystem.
In this role, you will
- Work directly with our ML engineering team to improve codebase architecture, performance, observability and scale.
- Operationalize proof of concept models into high availability production services, hosted on Amazon EKS, with a focus on factors such as latency, throughput and scalability.
- Build and optimize CI/CD pipelines to enable a team of 20+ engineers to ship ML models at scale, quickly and safely.
- Work with key stakeholders to identify technical debt and migrate legacy systems to the latest tools and platforms within Epic.
What we’re looking for
- Experience with engineering, data analytics, and machine learning.
- Experience in building & maintaining technology used in ML development, with a focus on Python as the programming language.
- Experience in building and maintaining infrastructure for training and deployment of large-scale ML/DL models that scale across clusters with CPU/GPU machines.
- Experience in any of the following technologies and techniques is a plus: Pytorch, Torchserve, ONNX, Model quantization, TensorRT, OpenVINO, NVIDIA Triton.
- Fluency in Unix/Linux tooling, shell scripting and operating systems internal is a plus.
- Excellent communication and interpersonal skills.
- BS/BA degree or equivalent work experience.
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 .
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Machine Learning Ops Engineer employer: Epic Games
Contact Detail:
Epic Games Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Ops Engineer
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, such as Pytorch and TensorRT. Having hands-on experience or projects showcasing your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Engage with the Epic Games community on platforms like GitHub or relevant forums. Contributing to open-source projects or discussions related to machine learning can help you build connections and demonstrate your passion for the field.
✨Tip Number 3
Prepare to discuss your previous experiences with CI/CD pipelines and how you've optimized them for ML models. Being able to articulate your problem-solving process and results will show your capability to handle the responsibilities of the role.
✨Tip Number 4
Highlight your communication skills during any interactions with the team. Since collaboration is key at Epic, demonstrating your ability to work well with others and share ideas effectively can make a strong impression.
We think you need these skills to ace Machine Learning Ops Engineer
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Machine Learning Ops Engineer position. Understand the key responsibilities and required skills, such as experience with Python, ML infrastructure, and CI/CD pipelines.
Tailor Your Resume: Customize your resume to highlight relevant experience in engineering, data analytics, and machine learning. Make sure to include specific projects or roles that demonstrate your expertise in building and maintaining ML technologies.
Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for the gaming industry and your alignment with Epic's values. Mention how your skills can contribute to their mission of creating innovative and safe gaming experiences.
Showcase Your Technical Skills: In your application, emphasize your technical skills related to the job, such as familiarity with Pytorch, TensorRT, or Unix/Linux systems. Providing examples of past projects where you utilized these skills can strengthen your application.
How to prepare for a job interview at Epic Games
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning technologies and frameworks like Pytorch, TensorRT, or ONNX. Highlight specific projects where you've built or maintained ML infrastructure, focusing on how you optimized performance and scalability.
✨Demonstrate Collaboration
Since Epic values a collaborative environment, share examples of how you've worked effectively within a team. Discuss your communication style and how you engage with stakeholders to identify technical debt and improve systems.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice explaining your thought process when operationalizing proof of concept models into production services, especially regarding latency and throughput considerations.
✨Understand Epic's Culture
Familiarize yourself with Epic Games' mission and values. Be ready to discuss how your personal values align with creating a fun and safe environment for players, and how you can contribute to the innovative spirit of the company.
