Machine Learning Engineer Intern: 3D Generative AI (Q1 2026)

Genies
Genies LAPosted 26 March 2026

Job Description

Machine Learning Engineer Intern: 3D Generative AI (Q1 2026) Genies is an avatar technology company powering the next era of interactive digital identity through Smart Avatars. With the Avatar Framework and intuitive creation tools, Genies enables developers, talent, and creators to generate and deploy game-ready Smart AI companions. The company’s technology stack supports full customization, AI-generated fashion and props, and seamless integration of user-generated content (UGC). Backed by investors including Bob Iger, Silver Lake, BOND, and NEA, Genies’ mission is to become the visual and interactive layer for the LLM-powered internet. Genies is an AI avatar and games technology company powering the next generation of digital experiences. Genies' technology stack is rooted in empowering user generated content through the company's two main mantras: “Anyone can create anything” & “Everything works with everything” By combining these two guiding principles, individuals can craft limitless experiences while IP owners can build dynamic social gaming ecosystems powered by user-generated content (UGC) and AI Avatars—what Genies calls "Parties." Genies' technology stack features a comprehensive suite of UGC tools that enable anyone to create AI avatars, complete with customizable fashion, props, behaviors, and personalities, as well as immersive AI avatar Experiences. At its core are the set of our Software Development Kits and Cross-Platform Frameworks, which leverage machine learning and computer graphics to ensure seamless interoperability across all UGC and AIGC avatars and experiences—unlocking boundless creative potential. Early adopters of Genies’ first gen avatars include icons like Justin Bieber, Rihanna, J Balvin, Migos, and thousands more. With offices in Los Angeles and San Francisco, Genies has raised $200M from notable investors including Silver Lake, BOND, NEA, and Bob Iger. Genies seeks a talented Machine Learning Engineer Intern to join our growing team and contribute to our R&D initiatives. In this role, you will be instrumental in designing, developing, and deploying machine learning models that produce high-quality 3D assets for our avatar creation ecosystem. Collaborating closely with our engineering and creative teams, you will incorporate AI and machine learning capabilities into our creator tools and product offerings. This opportunity not only allows you to join a dynamic startup at the forefront of a new industry and emerging technologies, but also to become one of the pioneering engineers shaping the future of consumer self-expression and creativity. We believe that the future of consumer social experiences will be consumer, creator and developer driven, and we are looking for a thought partner who can assist us in accomplishing our vision of transforming digital identity, representation, and social experiences. Why Genies? You are curious about the future of avatar technology and empowering users to represent their digital selves. You have an underlying passion for encountering complex problems and creating smart, strategic solutions. How avatars will play in the consumer marketplace resonates with you and you see a future where our digital identities help to create a world where people can create, express and be their true authentic selves. What You'll Be Doing : - Collaborate with R&D and Application teams to integrate AI/ML solutions into our avatar creation ecosystem, leveraging advanced 3D computer vision (CV) and computer graphics (CG) techniques. - Design, train, fine-tune, accelerate, optimize, and deploy ML models and technical frameworks. - Utilize a strong understanding of computer graphics pipelines, computational geometry, and 3D principles to synthesize meshes, images, and/or motion. - Apply practical expertise in implementing white paper concepts to develop user-facing creative technologies. - Manage ML framework resources and infrastructure, including dataset management, cli ... (truncated, view full listing at source)
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