ML Engineering Intern (2025 Fall Texture Gen)

undefined ago • All levels • Research Development • $93,600 PA - $93,600 PA

Job Summary

Job Description

Genies is an AI avatar and games technology company focused on empowering user-generated content through AI avatars and immersive experiences. Their technology stack, including the Genies Avatar Framework, leverages machine learning and computer graphics for seamless interoperability. They are seeking an ML Engineering Intern for their R&D group to explore new concepts, design data generation processes, research and implement SOTA models, deploy 3D texture generation models, and evaluate performance. The role is hybrid in Los Angeles or San Mateo, contributing to the next wave of digital identity.
Must have:
  • Conduct analysis of stakeholder needs to design a data generation process.
  • Research State-of-the-Art (SOTA) models, implement architecture and training loops, and run experiments.
  • Deploy the model that provides the best performance for 3D texture generation and editing.
  • Evaluate model performance to ensure accuracy and effectiveness.
  • Present the culmination of your work to the team and company.
Perks:
  • Work with a team you’ll learn from and grow with, including support for professional development
  • Shape your career with innovative contributions to a nascent team and product
  • Flexible hours and a work from home policy
  • Enjoy startup culture and perks with stability of being well funded
  • Comprehensive health insurance for you and your family (Anthem + Kaiser Options Available)
  • Dental and Vision Insurance
  • Flexible paid time off, sick time, and paid company holidays
  • Paid parental leave, bereavement leave, and jury duty leave for full-time employees
  • Health & wellness support through 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

Job Details

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 is the Genies Avatar Framework, which leverages machine learning and computer graphics to ensure seamless interoperability across all user-generated AI 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 is looking for a ML Engineering Intern to join our R&D group this summer. Based either in our Los Angeles or San Mateo offices (Hybrid), you will work closely with a dedicated and talented team of technical artists, engineers and artists. Together, you will explore new concepts and technologies to further Genies' mission of empowering users to develop their own avatar ecosystems. We're looking for someone who is passionate about creating high-quality visuals and has the technical foundation to help us build the next wave of digital identity.

What You’ll be Doing:

  • Conduct analysis of stakeholder needs to design a data generation process that fits project goals and business objectives.
  • Research State-of-the-Art (SOTA) models, implement model architecture and training loops, and run training experiments.
  • Deploy the model that provides the best performance for 3D texture generation and editing.
  • Evaluate model performance to ensure accuracy and effectiveness.
  • Present the culmination of your work to the team and company.

What You Should Have:

  • Currently enrolled in or a recent graduate of a PhD or Master degree program in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Solid understanding of machine learning concepts and recent computer vision.
  • Familiarity with programming languages such as Python and experience with machine learning libraries (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face).
  • Ability to conduct research and prototype solutions based on academic literature.
  • Strong problem-solving skills and the ability to work independently as well as in a team environment.
  • Excellent communication skills, with the ability to present findings clearly and effectively.

Here'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 with flexible hours and a work from home policy
  • 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
  • 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

Starting Salary: $45/hour

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About The Company

Los Angeles, California, United States (Hybrid)

Los Angeles, California, United States (Hybrid)

Los Angeles, California, United States (Hybrid)

Los Angeles, California, United States (On-Site)

Los Angeles, California, United States (On-Site)

Los Angeles, California, United States (On-Site)

Los Angeles, California, United States (On-Site)

Los Angeles, California, United States (On-Site)

Los Angeles, California, United States (On-Site)

Los Angeles, California, United States (On-Site)

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