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Open nowPosted 19 hours ago

AI Engineer

Embedding VC55 open roles

Where
Palo Alto, CA
Work mode
Hybrid
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Your applicationOpen nowAI EngineerEmbedding VC · Palo Alto, CA

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. Embedding VC postings stay open a median of 19 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 19 hours ago

Embedding VC median: 19 days open

The posting

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.

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 protected], subject "Candidate Application - AI Engineer".

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