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Remote - US
Infinite Reality (iR) is a global innovation company that powers the next generation of digital media and e-commerce through AI, spatial computing, XR, and other immersive technologies.
iR’s cutting-edge software, production, marketing services, and other capabilities empower brands and creators to craft inventive digital experiences that uplevel audience engagement, data ownership, monetization, and brand health metrics. Our portfolio includes a range of technology, sports, and entertainment assets that help customers achieve their goals. We offer customers features such as AI-assisted sales and customer service, the ability to leverage avatars, gamification and more.
Infinite Reality’s Enterprise division is a full service end-to-end solution for brands who want bespoke immersive experiences designed, built, and operated for them. iR Enterprise works with major worldwide brands and has powered programs for Warner Bros Discovery, Vodafone, LUSH, Hershey’s, and more.
Infinite Reality’s SaaS product, iR Studio, is a self service 3D immersive website builder that is designed to help creators and brands of all sizes enhance the customer purchase journey and drive deeper engagement with their communities and customers. No coding experience is required. Just design, publish, measure and monetize.
Location: USA - Remote
Hours: Full-Time
The role
Infinite Reality is seeking a Principal Software Engineer with an emphasis on Machine Learning to join our world-building team and drive the future of AI-powered virtual environments. In this role, you will be at the cutting edge of creating intelligent systems that empower our world builder platform to generate immersive 3D worlds from vast datasets, using advanced AI techniques such as large language models (LLMs), generative AI, and machine learning.
You will take the lead in developing and refining the algorithms and systems that enable LLMs to autonomously create complex and dynamic virtual environments. From 3D models and terrain to animations and interactive elements, your work will be instrumental in allowing AI to synthesize diverse forms of digital content into cohesive, interactive virtual worlds. You’ll be at the forefront of implementing innovative solutions to handle the growing complexity of both AI-driven and user-generated content within our engine.
Working alongside a multidisciplinary team of software engineers, data scientists, and technical artists, you will define best practices for integrating generative AI technologies into the world-building pipeline. This is a unique opportunity to push the boundaries of what’s possible in immersive digital experiences while developing cutting-edge machine learning applications that shape the future of interactive virtual environments.
If you are passionate about blending AI and machine learning with 3D graphics to create scalable, dynamic, and immersive worlds, this role offers a chance to leave a lasting mark on the next generation of virtual experiences.
What you’ll do
What you’ll bring
We’ll be extra pumped if you have
Base pay will depend on a variety of job-related factors, which may include education, certifications, experience, market demands, and locations.
Benefits
Our Culture
We’re looking for more forward-thinking and collaborative people to be a part of our innovation journey and mission to push the boundaries of technology. If you’re ready to help us achieve this vision — we’d love to hear from you! At Infinite Reality, we're looking for people invigorated by our values and drive to change the world, not just those who simply check off boxes.
Infinite Reality embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We strive to build a company that reflects a global audience.
CCPA Notice for California Job Candidates: Please review our CCPA Notice.
Our salary intelligence, powered by our AI algorithms, has calculated an estimated range for this position between $130,000 - $180,000 . Please note that the actual salary for this position may vary, as it is dependent on various factors including but not limited to experience, location, and market dynamics.