Realtime Avatar AI Engineer

Embedding; Palo Alto (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

LiveX AI in Palo Alto, CA seeks an AI Engineer to join the Engineering team. You will train and deploy generative models powering talking-head avatars, building end-to-end pipelines from data curation to low-latency inference for live streaming.

The role requires hands-on ML experie nce with PyTorch, diffusion/video models, and multi-GPU training. A fast-paced startup environment values ownership and proactive problem-solving.

Qualifications

• 3+ years of hands-on ML engineering with production-quality code and a track record of shipping deep learning models.
• Strong expertise in PyTorch and modern DL workflows; ability to read, reproduce, and extend research papers.
• Background in diffusion models, video generation, generative AI, computer vision, or multimodal AI (audio+vision).
• Solid Python engineering; experience with distributed training on multi-GPU / multi-node setups.

Responsibilities

• Train and fine-tune generative models for talking-head synthesis and avatar video generation.
• Design data pipelines for large-scale video, audio, and multimodal datasets.
• Optimize models for realtime serving with sub-200ms end-to-end latency using CUDA/Triton techniques.
• Build and maintain training, evaluation, and deployment infra on GPU clusters (PyTorch, DeepSpeed, FSDP, Ray, Kubernetes).
• Define and track quality metrics and drive measurable gains.
• Collaborate with backend, product, and research teams to ship avatar features and iterate on feedback.
• Stay current with research in generative video, multimodal AI, and neural rendering.

Skills

PyTorch expertise

Python programming

Distributed training

Realtime inference optimization

CUDA/Triton optimization

Multi-GPU / multi-node

Research-to-production mindset

Tools

TensorRT

ONNX

Triton Inference Server

CUDA

DeepSpeed

Job description

LiveX AI in Palo Alto, CA seeks an AI Engineer to join the Engineering team. You will train and deploy generative models powering talking-head avatars, building end-to-end pipelines from data curation to low-latency inference for live streaming.

The role requires hands-on ML experie nce with PyTorch, diffusion/video models, and multi-GPU training. A fast-paced startup environment values ownership and proactive problem-solving.