Role overview
Genies is Gen Z’s leading avatar technology company empowering humans to create their own avatar ecosystems. Genies provides tools that allow users to create their own avatars, avatar wearable fashion lines, avatar worlds, and avatar interactive experiences in web3. The company has 99% celebrity avatar market share through its partnerships with Universal Music Group and Warner Music Group as their “official avatar and digital goods provider with thousands of Genie creators including Justin Bieber, Migos, Cardi B, and J Balvin. Our avatar marketplace “The Warehouse” built with Dapper Labs, allows creators to design and sell their avatar ecosystem creations (i.e. avatar fashion lines) to the masses. Genies has raised $200M from investors such as Silver Lake, BOND, NEA, and Breyer Capital.
Genies is looking for our first Lead Machine Learning Engineer to join our rapidly growing team. As our Lead Machine Learning Engineer, you’ll play a key role in driving Genies Artificial Intelligence Generated Content (AIGC), and be responsible for designing, developing, and deploying machine learning models to generate high-quality, dynamic content for our digital avatars. You will work closely with our content and creative teams to infuse AI and machine learning capabilities into our products. As our ML Lead, you'll be at the forefront of both advancing our technology stack and opening up new doors for consumer self-expression and creativity. This is not only your chance to join a growing start-up as it pioneers a new industry, but operate as the first engineer for a function that will shape the future of consumer interactions for Genies.
What you'll work on
- Design and implement machine learning models for generating dynamic and high-quality content, such as natural language, images, and animations
- Work closely with the content and creative teams to integrate AI and machine learning capabilities into our products
- Optimize and improve the performance of AI models and algorithms for content generation
- Collaborate with other engineers, designers, and product managers to develop new features and products
- Stay up-to-date with the latest developments in machine learning and artificial intelligence
- Help in build and maintain a positive culture in the team