AI Engineer
Embedding Vc · Palo Alto, CA
About this role
## LiveX AI — AI Engineer (Machine Learning Engineer) **Location:** Palo Alto, CA (On-site) **Type:** Full-time **Department:** Engineering **Posted:** May 27, 2026 **Source:** https://livex.ai/careers/ai-engine --- ## About the Role LiveX AI is building **realtime, interactive AI avatars**—digital humans that can **see, listen, and respond** with natural speech and expressive motion. This role focuses on training, fine-tuning, and serving the generative models behind these avatars across the full lifecycle—from **data curation and training** (diffusion, video, multimodal) to **low-latency inference** for live streaming. --- ## Responsibilities - Train and fine-tune generative models for: - Talking-head synthesis - Audio-driven facial animation - Full-body avatar video (e.g., diffusion models, DiT, 3D Gaussian Splatting, GAN/transformer-based video generators) - Build 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 as needed) - Build and maintain training/evaluation/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 improvements - Collaborate with backend, product, and research teams to ship avatar features and iterate based on user feedback - Stay current with research in generative video, multimodal AI, and neural rendering; bring useful techniques into the stack --- ## Qualifications - **3+ years** hands-on ML engineering (or strong research experience) with **production-quality code** and 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 and ownership-driven - Startup mentality; eager to push what interactive avatars can do --- ## Nice-to-Haves - Experience with 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.** --- ## How to Apply Email **career@livex.ai** with your resume and relevant supporting materials. **Subject:** `Candidate Application - AI Engineer`
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