AI Engineer
At Embedding VC · Palo Alto, CA; Palo Alto, California, United States
- Data and ML
- Full-time
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Where you’ll work
Hybrid, based in Palo Alto
“Palo Alto, CA”
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“Palo Alto, California, United States”
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The job board lists it as hybrid.
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- Posted
- 22 October 2026
- First seen by us
- 4 November 2026
- Last checked
- 17 hours ago
Job description
From Embedding VC’s job post, as they wrote it.
LiveX AI · AI Engineer (Machine Learning Engineer)
Palo Alto, CA · Full-time, on-site · Department: Engineering
Source: https://livex.ai/careers/ai-engineer (posted May 27, 2026)
About the Role
LiveX AI is building realtime, interactive AI avatars: digital humans that see, listen, and respond with natural speech and expressive motion. This engineer trains, fine-tunes, and serves the generative models behind these avatars across the full model lifecycle, from data curation and training diffusion, video, and multimodal models to low-latency inference for live streaming.
Read the full description
Responsibilities
* Train and fine-tune generative models for talking-head synthesis, audio-driven facial animation, and full-body avatar video (diffusion models, DiT, 3D Gaussian Splatting, GAN-based, transformer-based video generators).
* Design data pipelines for large-scale video, audio, and multimodal datasets: collection, cleaning, labeling, alignment, augmentation.
* Optimize models for realtime serving with sub-200ms end-to-end latency: distillation, quantization, pruning, caching, streaming inference, custom CUDA/Triton kernels where needed.
* Build and maintain training, evaluation, and deployment infrastructure on GPU clusters (PyTorch, DeepSpeed, FSDP, Ray, Kubernetes).
* Define and track quality metrics (lip-sync accuracy, identity preservation, expression naturalness, latency, throughput) and drive measurable gains.
* Work with backend, product, and research teams to ship avatar features and iterate on user feedback.
* Keep up with research in generative video, multimodal AI, and neural rendering; bring useful techniques into the stack.
Qualifications
* 3+ years of hands-on ML engineering, or strong research experience with production-quality code, with a record of shipping deep learning models.
* Deep expertise in PyTorch and modern DL workflows; able to read, reproduce, and extend research papers.
* Strong background in one or more of: diffusion models, video generation, generative AI, computer vision, multimodal (audio+vision) AI, speech synthesis, neural rendering.
* Solid Python engineering; distributed training on multi-GPU / multi-node setups.
* Proven realtime inference optimization: TensorRT, ONNX, Triton Inference Server, CUDA, mixed precision, streaming pipelines.
* Comfortable in ambiguous, fast-changing environments; proactive, ownership-driven.
* Fast-learning startup mentality; eager to push what interactive avatars can do.
Nice-to-Haves
* Talking-head, audio-driven animation, lip-sync, or digital human systems; 3D Gaussian Splatting, NeRF, face reenactment, avatar synthesis.
* Publications at top venues (NeurIPS, CVPR, ICCV, SIGGRAPH, ICLR, ICML) or notable open-source contributions.
Compensation
Competitive salary, equity, and benefits; access to substantial GPU compute. No range listed. Equal Opportunity Employer.
How to Apply (original posting)
Email resume and relevant supporting materials to [email removed], subject "Candidate Application - AI Engineer".
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