Machine Learning Engineer: ML Infra and Model Optimization

Genies, Inc.•Los Angeles, CA

2d•$215,000 - $275,000•Hybrid

About The Position

Genies is an avatar technology company powering the next era of interactive digital identity through AI companions. With the Avatar Framework and intuitive creation tools, Genies enables developers, talent, and creators to generate and deploy game-ready AI companions. The company’s technology stack supports full customization, AI-generated fashion and props, and seamless integration of user-generated content (UGC). Backed by investors including Bob Iger, Silver Lake, BOND, and NEA, Genies’ mission is to become the visual and interactive layer for the LLM-powered internet. Genies is looking for a ML Infra and Model Optimization Engineer to join our R&D team. Based either in our Los Angeles or San Francisco 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.

Requirements

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 latency and throughput optimization
Experience with cloud platforms and ML deployment stacks, such as: AWS (SageMaker, EC2, EKS), GCP, or similar Docker, containers, CI/CD pipelines
Solid understanding of systems performance, debugging, and reliability engineering.
Experience supporting real user traffic, not just offline research workflows.

Nice To Haves

Experience with generative models, especially: diffusion models transformer-based architectures multimodal image / 3D pipelines
Familiarity with 3D generation or computer graphics pipelines (e.g., meshes, textures, multi-view data).
Hands-on experience with model optimization and acceleration, such as: quantization, pruning, distillation ONNX Runtime, TensorRT, FSDP, DeepSpeed
Experience with distributed systems or scalable inference frameworks (Ray, Triton, TorchServe).
Background in machine learning fundamentals (training, evaluation, model behavior), even if not research-focused.

Responsibilities

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.

Benefits

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
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

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