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Genies
LLM Graphics Applied Scientist Intern Summer 2024
at Genies
25 days ago | 143 views | Be the first one to apply

LLM Graphics Applied Scientist Intern Summer 2024

Internship
San Marino
Per year
$21,000 To $86,000

About the company

Genies is culture’s leading avatar technology company empowering humans to create their own avatar experiences. To-date, Genies has been widely adopted by cultural tastemakers and has partnerships with Universal Music Group and Warner Music Group as their rosters’ “official avatar.” Genies has recently launched its consumer arm via its AR Developer Kit which allows developers to create interoperable avatar experiences for mobile and hardware AR. Their first avatar experience, Silver Studio, allows users to design and exchange digital fashion. Genies has raised $250M from investors such as Silver Lake, BOND, NEA, and Bob Iger valuing the company at $1 billion.

Job Summary

What You’ll be Doing:

📍Gaining expertise in multi-module applications, with a focus on incorporating large language models (LLMs) and computer graphics, while contributing to the development and enhancement of our cutting-edge avatar technology ecosystem. 📍Working with an interdisciplinary team to research and develop deep learning solutions that create and augment meshes and textures in our avatar ecosystem. 📍Absorb machine learning literature, particularly in NLP, 3D graphics, 3D motion, and quickly prototype new techniques by engaging with relevant research papers and textbooks. 📍Explore the feasibility of productization, identifying issues and gaps that may lead to direct production implementations or inspire new research directions for publication. 📍Present the culmination of your work to both the team and the broader company, showcasing the impact and potential of your contributions.

Minimum Requirements:

📍Currently has, or is in the process of obtaining a PhD or Master degree in Computer Science or a related STEM field 📍Solid foundation in 3D math, linear algebra, computational geometry and numerical analysis 📍Deep understanding of and experience with the latest deep learning techniques related to NLP, computer graphics and multi-modal systems. 📍Familiarity with programming languages such as Python, C++ and experience with machine learning libraries (e.g PyTorch, TensorFlow, scikit-learn, Hugging Face etc.). 📍Ability to interpret and implement an algorithm, using appropriate data structures to efficiently solve a problem 📍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.

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