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Genies

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

Posted Yesterday
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In-Office
Los Angeles, CA
45-45 Hourly
Internship
Easy Apply
In-Office
Los Angeles, CA
45-45 Hourly
Internship
Assist in designing, developing, and deploying machine learning models for creating high-quality 3D assets while collaborating with cross-functional teams.
The summary above was generated by AI

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, client/cloud computing options, experiment tracking and model deployment techniques.
  • Partner with Product and Creative teams to refine AI/ML-powered creation tools and interfaces.
  • Communicate technical decisions and project updates to stakeholders such as engineers, designers, and product managers.
  • Stay up-to-date on emerging technologies in AI and advise on their strategic integration into innovative solutions.
Minimum Qualifications :
  • Master’s degree or higher in Computer Science, Computer Graphics, or a related field with a strong emphasis on machine learning and artificial intelligence.
  • Minimum of 3 years of professional industry / research experience in machine learning, computer vision, or computer graphics.
  • Proficiency in Python programming and extensive experience with AI/DL Frameworks (e.g. PyTorch, TensorFlow)
  • Experience in multimodal training for 3D computer vision and graphics, such as:
    • Generative models (e.g., diffusion, GANs, VAEs, flow-based)
    • Advanced architectures like Transformers, Vision Transformers (ViT), and Diffusion Transformers (DiT).
  • Excellent teamwork skills, effective in working with cross-functional teams and engaging stakeholders.
  • Ability to communicate complex ideas to non-technical audiences.
  • Background in computer graphics, computational geometry, and 3D principles is a plus.
Preferred Qualifications :
  • Industry experience with AI-driven content creation as it relates to games or animation, including:
    • 3D reconstruction and generation 
    • 2D/3D geometry analysis (segmentation & tagging)
    • Generative models for avatars and textures.
    • Object and body tracking
    • Avatar behavioral systems.
  • Experience with volumetric differentiable rendering techniques using Neural Radiance Fields (NeRF) or Gaussian Splatting, including scene representation learning, novel view synthesis, and integration with neural rendering pipelines.
  • Experience training and scaling large machine learning models, including optimizing training pipelines,managing compute resources and deploying models to production.
  • Hands-on experience with ML infrastructure, such as distributed training, data pipelines, model versioning, and experiment tracking.
  • Publication track record at top conferences (e.g., SIGGRAPH, CVPR, NeurIPS, ECCV, ICCV, ICML).
  • Contributions to popular open-source machine learning projects.
How Genies will support you :Genies is a well-funded, growing start-up that cares deeply about each of our employees' growth and success. Our roles and their responsibilities are created with a breadth of scope that introduces each employee to exciting new challenges and opportunities that a growing start-up encounters. The actual base pay is dependent upon a number of factors, including: professional background, training, transferable skills, work experience, education, location, business and product needs, and market demand. The base pay range is subject to change and may be modified in the future. Full-time employees may also be eligible for equity compensation, in addition to a robust health, wellness, and benefits package. Starting Salary Range: $45/hourHere's why you'll love working at Genies:
  • You'll work with a team that you’ll be able to learn from and grow with, including support for your own professional development
  • You'll be at the helm of your own career, shaping it with your own innovative contributions to a nascent team and product
  • You'll enjoy the culture and perks of a startup, with the stability of being well funded 
  • Comprehensive health insurance for you and your family (Anthem + Kaiser Options Available), Dental and Vision Insurance
  • Competitive salaries and 401K program for all full time employees 
  • Flexible paid time off, sick time, and paid company holidays, in addition to paid parental leave, bereavement leave, and jury duty leave for full-time employees
  • Health & wellness support through programs such as monthly wellness reimbursement 
  • Working in a brand new, bright, open-environment and fun office space - there’s even a slide! 
  • Choice of MacBook or windows laptop

Genies is an equal opportunity employer committed to promoting an inclusive work environment free of discrimination and harassment. We value diversity, inclusion, and aim to provide a sense of belonging for everyone.

Top Skills

Python
PyTorch
TensorFlow

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