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.
Develop annotation tools and guide annotators to complete the data annotation process efficiently.
Research State-of-the-Art (SOTA) models, implement model architecture and training loops, and run training experiments.
Evaluate model performance to ensure accuracy and effectiveness.
Deploy the model that provides the best performance for 2D segmentation tasks.
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: $40-$50 per hour
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.