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:
📍Design, build, and maintain production-grade ML infrastructure for image and 3D generative models. 📍Develop and own backend services and APIs that support model inference at scale (high concurrency, low latency, high reliability). 📍Deploy, monitor, and operate ML models on cloud and large-scale platforms (e.g., SageMaker, Kubernetes, Ray Serve, custom GPU services). 📍Optimize inference pipelines using model acceleration techniques such as: quantization, pruning, mixed precision 📍ONNX / TensorRT / torch.compile 📍Partner with ML researchers to productionize diffusion models, transformer-based models, and 3D generation systems. 📍Implement evaluation, logging, monitoring, and alerting to ensure system stability and performance. 📍Improve end-to-end system efficiency across data loading, inference, post-processing, and storage. 📍Support rapid experimentation while maintaining production safety and scalability.
What You Should Have:
📍Strong experience building backend and infrastructure systems in production environments. 📍Proficiency in Python and experience designing APIs/services (e.g., FastAPI, Flask, gRPC). 📍Hands-on experience deploying and operating ML models at scale, including: 📍GPU-based inference services concurrency handling and request batching
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