Machine Learning Jobs in Web3

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. We are seeking a Lead Applied ML Engineer with a passion for highly configurable digital avatars and intuitive content tools that empower user creativity. In this role, you will design and implement advanced machine learning models, algorithms, and systems to solve complex graphics and geometry challenges. As a subject matter expert, you will provide technical guidance to junior professionals and play a key role in shaping machine learning strategies. Your responsibilities will also include researching emerging technologies and methodologies to enhance system performance, as well as collaborating with cross-functional teams to ensure the seamless deployment, scalability, and optimization of ML solutions. Starting Salary Range: $180K - $266K What You’ll be Doing: 

Develop ML-powered mesh and texture compression techniques for real-time rendering. Optimize NeRF, Gaussian Splatting, and Diffusion-based 3D assets for mobile/XR/games. Improve 3D model decimation, LOD (level of detail) generation, and efficient rendering. Work with graphics engineers to integrate AI-generated assets into rendering pipelines. Implement real-time inference optimizations (TensorRT, CUDA, Vulkan, Triton, ONNX).

What You Should Have: 

Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. 8+ years of experience in machine learning or related fields. Experience with data structures, data modeling, and software architecture. ML-based optimization techniques for 3D meshes, textures, and rendering. Deep learning & generative models (Diffusion, VAEs, GANs, NeRF). Experience with real-time graphics engines (Unreal, Unity). Strong C++ or CUDA skills for ML-powered rendering acceleration. Knowledge of OpenUSD, Houdini, shaders (bonus).

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 Competitive salaries for all full time employees  Unlimited 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.