---
title: 'AI Engineer at Embedding VC'
canonical: 'https://feeny.ai/job/ai-engineer-embedding-vc-palo-alto-1m93z761jy0x'
type: 'job'
last_seen: '2026-10-28'
---

# AI Engineer at Embedding VC

- **Company:** Embedding VC
- **Location:** Palo Alto, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-22
- **Last confirmed live:** 2026-10-28
- **Apply:** https://jobs.ashbyhq.com/embedding-vc/778637f7-cf85-4d17-8e05-aab7847f91e5

## Job description

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 career@livex.ai, subject "Candidate Application - AI Engineer".

## About Embedding VC

## Company Overview
- **One-liner**: Embedding VC is an early-stage venture capital firm investing in Generative AI startups, backing engineering, product, and research visionaries.
- **Entity Type**: Private (Venture Capital Firm)
- **Headquarters**: Menlo Park, California, United States
- **Founded**: 2023
- **Founders**: Roger Luo (Founder & Managing Partner)

## Core Business
- Primary industry/industries: Venture Capital, Private Equity, Artificial Intelligence
- Target customers: Early-stage Generative AI startups (Seed and Series A)
- Mission or purpose statement: To back engineering, product, and research visionaries in the mission to develop AGI, believing they are at the onset of a new computing super cycle driven by AI innovations.

## Products & Services
- **Venture Capital Investments**: Early-stage (Seed and Series A) investments in Generative AI startups. Focus areas include AI-first applications, middleware for Gen AI, and AI + game + social.
- **Portfolio Support**: Provides capital and strategic support to portfolio companies, leveraging a network of investors who are current and former builders and operators.

## Market Standing
- **Valuation/Market Cap**: Not applicable (Venture Capital firm)
- **Key Metric**: Total Funding Deployed: Not publicly disclosed. The firm has made 6 investments as of early 2026, with 5 new investments in the last 12 months.
- **Notable Investors/Partners**: The firm's investors are current and former builders and operators. Co-investors include Long Journey Ventures, Mayfield, Correlation Ventures, 468 Capital, NFX, and Menlo Ventures.
- **Growth Signals**: Active job postings (37 as of mid-2026), with a monthly growth in postings of +5.7% and quarterly growth of +48.0%. The firm's website traffic has grown +231.9% monthly. The firm has made 5 new investments in the last 12 months, including a Series A round in Entelligence in January 2026.

## Competitive Advantages
- **Founder-Operator Network**: All investors in the fund are current and former builders and operators, providing deep, hands-on expertise to portfolio companies.
- **Niche Focus**: Dedicated exclusively to early-stage Generative AI, a high-growth, cutting-edge sector, allowing for deep specialization and a strong network within the AI ecosystem.
- **Strong Portfolio**: Investments in notable AI startups like Flora (AI-powered smart glasses, $52M raised), Omi (AI personal story recording), and Entelligence (AI for engineering leadership) demonstrate a keen eye for emerging trends.

## Strategic Focus
- **Generative AI Leadership**: To be the premier early-stage partner for founders building the next generation of AI-native companies.
- **AGI Mission**: The firm explicitly states a belief in the mission to develop AGI, signaling a long-term, high-conviction investment thesis.
- **Expanding Portfolio**: Actively seeking new investments in AI-first applications, middleware for Gen AI, and AI + game + social.

## Why Work Here
- **Culture**: A small, focused team of 17 employees (as of mid-2026) with a flat structure, offering significant ownership and impact. The firm is described as a partnership.
- **Remote/Hybrid Policy**: The firm has offices in Menlo Park (HQ) and Los Angeles, CA. Job postings indicate a mix of "In-Office" and "In-Office or Remote" roles, suggesting flexibility depending on the position.
- **Notable Perks/Engineering Culture**: Working at a VC firm offers exposure to the cutting edge of AI technology and the startup ecosystem. The team is composed of specialists and management, with a strong consulting and technical background. The firm is actively hiring for technical roles (Machine Learning Engineer, Software Engineer, Data Engineer) and product roles, indicating a hands-on, builder-oriented culture within the firm itself.

## Sources
1. [embedding.vc](https://www.embedding.vc/)
2. [linkedin.com](https://www.linkedin.com/company/embeddingvc)
3. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/embedding-vc)
4. [tracxn.com](https://tracxn.com/d/venture-capital/embeddingvc/__x4iWIoyDblSMImQx3cerpGqOt15eGHuGXfZJrtw3RK0)
5. [builtin.com](https://builtin.com/company/embedding-vc/teams)

## Other roles at Embedding VC

- [Head of People Operations](https://feeny.ai/job/head-of-people-operations-embedding-vc-san-francisco-kv3t9gt4bym0) — San Francisco, CA
- [Member of Technical Staff — Agent Post-Training](https://feeny.ai/job/member-of-technical-staff-agent-post-training-embedding-vc-san-francisco-ce48nexaf497) — San Francisco, CA
- [Member of Technical Staff — RL & Agentic Model Training](https://feeny.ai/job/member-of-technical-staff-rl-agentic-model-training-embedding-vc-san-francisco-ejb06jg6dta6) — San Francisco, CA
- [Member of Technical Staff — Post-Training Infrastructure](https://feeny.ai/job/member-of-technical-staff-post-training-infrastructure-embedding-vc-san-j6a04rvy4d8c) — San Francisco, CA
- [Head of Design](https://feeny.ai/job/head-of-design-embedding-vc-san-francisco-mx88q2vdkvz8) — San Francisco, CA
- [Business Development Representative (BDR)](https://feeny.ai/job/business-development-representative-bdr-embedding-vc-palo-alto-hsbgtyw69xy9) — Palo Alto, CA
- [Designer / Content Marketer](https://feeny.ai/job/designer-content-marketer-embedding-vc-palo-alto-61vt4k7zffg3) — Palo Alto, CA
- [Backend Software Engineer](https://feeny.ai/job/backend-software-engineer-embedding-vc-palo-alto-yhncfnzr91fc) — Palo Alto, CA
- [Project Manager](https://feeny.ai/job/project-manager-embedding-vc-palo-alto-9zspdz1anf7p) — Palo Alto, CA
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