Unreal Engine Software Engineering Intern, Inworld AI
C$35–C$45 per hour
AI-powered characters for virtual environments
Job no longer available
AI-powered characters for virtual environments
101-200 employees
Job no longer available
C$35–C$45 per hour
101-200 employees
Company mission
To transform static software into living AI systems that autonomously evolve to better serve their users.
Role
Who you are
- We are seeking Unreal Engine Software Engineering Interns who are passionate about creating tools and systems for next generation, AI-powered Games and Immersive Experiences in Unreal
- The ideal candidate is excited to work with cutting edge AI/ML tools and is eager to build capabilities that help us realize the big vision
- Holding or currently pursuing a Bachelor's, Master's, or PhD in Computer Science or a related technical field
- Experience with Data Structures or Algorithms
- Experience with Unreal Engine (C++), ideally beyond just coursework
Desirable
- Experience in game design and development
- Experience working with Generative AI tools
- Experience creating or extending Unreal Engine plugins/modules
- Experience writing tests (unit, functional, etc) in Unreal Engine
What the job involves
- Contribute to how our AI library binds into and enriches the Unreal game engine with AI superpowers
- Build and extend Unreal-based test automation, using tools like Automation Test Framework, Gauntlet, and Horde
- Learn how a high-performance AI library is structured and exposed in Unreal
- Help create a smooth developer experience for our AI tools
- Design and run rigorous automated tests for these capabilities
- Be mentored by senior Unreal engineers with deep industry experience
- We’re a small company, so even in a few months you will have a meaningful impact on our technology offerings. So if you love building, this is the internship for you!
Our take
Dialogue writing for video games has traditionally been a matter of branching conversations based on player input, but this is a time-consuming and complicated process. In modern virtual environments which can contain thousands of characters, the need to save on costs means that conversations with many characters can be shallow and repetitive. Inworld AI's solution allows for the creation of unique and flexible interactions for even the most minor characters, based on just a few descriptive sentences.
Since launching, Inworld has quickly grown from an AI-character startup into one of the key players powering consumer AI. Its early work with companies like Xbox, Disney, and NBCUniversal helped provide the value of real-time AI experiences, and now a wide range of media companies, game studios, and fast-growing startups are building on its platform.
Now, with the recent release of Inworld Runtime, the company is taking an even bigger step. By opening up the internal system they originally built to handle huge, real-time consumer workloads, Inworld is positioning Runtime as the go-to backend for any team looking to scale from an idea to millions of users. Its adaptive graphs, automated MLOps, and one-click experiments remove most of the painful engineering work that usually slows teams now. And for Inworld, this turns Runtime into more than just a product, it becomes the core of the company's future.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
Aug 2023
$50m
SERIES A
Aug 2022
$50m
SERIES A
Total funding: $117m
Company HQ
Mountain View, CA
Leadership
Ilya Gelfenbeyn
(Co-Founder & Executive Chairman)Previously co-founded API.AI (now known as Google Dialogflow), a developer platform for building conversational experiences, and served as its CEO before Google acquired the company in 2016. The company also built Assistant.ai, the highest-rated independent voice assistant in the world with 40M+ users. Ilya was also the Founding Head of the Google Assistant Investments program at Google.
Michael Ermolenko
(Co-Founder & CTO)Michael has extensive experience in leading AI teams and led Machine Learning Development at API.ai and the Dialogflow NLU/AI team at Google.
Kylan Gibbs
(Co-Founder & CEO)Kylan has a background in turning advanced AI into products that naturally interact with humans. They came from DeepMind, where they led products for Conversational AI and Generative Models. Prior, Kylan worked on enterprise Machine Learning projects at Bain & Company.
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