Video Game Development, Game Engine Development, Digital Distribution

Machine Learning Engineer, Memory

Porto AlegreOnsiteFull TimePosted 2 months ago

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Required skills

Foundational models
Vision
Language
Memory
State
Long-horizon behaviour
Language agents
Long-context methods
Reinforcement learning
Sequence modelling

Nice to have

Agile
Open weights models
Local deployment
Model post-training

Role summary

Epic Games is seeking a Machine Learning Engineer specializing in Memory for their Unreal projects team. This role involves working with researchers to develop general solutions for models that represent, retain, and retrieve experience. You will design memory architectures, define evaluation methods, and help deliver production-ready learning models. The ideal candidate has a PhD in Computer Science or Mathematics, or 3+ years of industry experience, with expertise in foundational models, memory in AI, and Python with ML tools like PyTorch. Experience deploying ML algorithms for vision/language problems is also required.

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

As foundation models move from answering questions to acting over long horizons, memory becomes a central requirement. Systems must decide what is worth keeping and improve from experience. Large context windows and retrieval systems are not enough. You will work with researchers on projects across the company that require memory in different modalities to define general solutions that enable models to represent experience, decide what they keep and what they discard, and to efficiently store, retrieve and exploit memory.

In this role, you will

Design new memory architectures that work across problems, modalities and products

Define new ways to measure and evaluate memory performance

Help create and deliver production-ready, scalable and high-quality learning models and associated algorithms

Critically assess the effectiveness of such models and make recommendations for the ongoing roadmap

What we're looking for

PhD in Computer Science, Mathematics or related field, or 3+ years of relevant industry experience

Experience creating machine learning algorithms for vision and/or language problems and deploying them as production-level systems

Expert, hands-on knowledge of:

Foundational models and vision and/or language, incl. local deployment and model post-training of open weights models

Memory, state, or long-horizon behaviour in foundation models: your experience may come from language agents and long-context methods, reinforcement learning under partial observability, world models, or sequence modelling

Python and associated ML tools/frameworks (numpy, scipy, sklearn, pytorch)

Experience with working collaboratively with other developers, following a flexible and agile approach

EPIC JOB + EPIC BENEFITS = EPIC LIFE

We pay 100% for benefits for both employees (EEs) and dependents (deps). Our current benefits package includes coverage for medical, dental, and life insurance. We also offer supplemental benefits including daily meal vouchers, and commuter benefits for onsite employees.

ABOUT US

Epic Games is a leading interactive entertainment company. For over 30 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.

Sample Epic Games interview questions

1
Design a system for managing a distributed task queue.
system designmedium
2
Construct a distributed chaos engineering management system.
system designmedium
3
Build a distributed system for automating the CI/CD pipeline.
system designmedium
4
Clone an Undirected Graph Clone an undirected graph. Input: adjList = [[]] Output: [[]] Explanation: Creates a new, deeply cloned graph containing only one single node with zero connected neighbors.
codingmedium
5
Maximum Depth of an N-ary Tree Find the maximum depth of an N-ary tree. Input: root = [1,null,2,null,3,null,4] Output: 4 Explanation: The tree is essentially a straight line, requiring a traversal that reaches a maximum depth of 4 layers.
codingmedium

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