---
title: 'Member of Technical Staff — Post-Training Infrastructure at Embedding VC'
canonical: 'https://feeny.ai/job/member-of-technical-staff-post-training-infrastructure-embedding-vc-san-j6a04rvy4d8c'
type: 'job'
last_seen: '2026-10-28'
---

# Member of Technical Staff — Post-Training Infrastructure at Embedding VC

- **Company:** Embedding VC
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-22
- **Last confirmed live:** 2026-10-28
- **Apply:** https://jobs.ashbyhq.com/embedding-vc/f15c55f7-ce5a-4601-a060-ce9a720220d3

## Job description

Introducing Moonlake, AI for creating world simulations.

## About Moonlake

Moonlake is building the frontier of interactive world models: systems that generate, simulate, and reason over 3D environments for robotics, embodied AI, and interactive applications. We develop the infrastructure that enables intelligent systems to learn, evaluate, and interact within realistic virtual environments before operating in the physical world. Our work sits at the intersection of:

- Robotics
- Embodied AI
- Interactive 3D Worlds
- World Models
- Simulation Infrastructure
- Physical AI

Moonlake is building the next generation of AI infrastructure for interactive digital worlds. Our mission is to enable anyone to create, simulate, and interact with rich environments using natural language and multimodal inputs, turning simple ideas into worlds with structure, physics, and intelligent behavior. Our team has raised $50M in seed funding from NVIDIA Ventures, Threshold Ventures, AIX Ventures, and notable angels including Naval Ravikant and Jeff Dean to build the foundational layer for the future of AI—powering everything from robotics training and simulation to digital twins and interactive environments. We are looking for exceptional engineers to help build the simulation systems that will power the next generation of robotics and embodied intelligence.

## The Role

We are hiring a Member of Technical Staff to lead reinforcement learning infrastructure and model post-training. You will work closely with Qi and the research team to improve large vision-language and code-generating agents through fine-tuning, reinforcement learning, trajectory data, and scalable evaluation. Moonlake already has deep expertise in 3D and world-building. This role adds the model-training experience needed to systematically improve agent performance and prepare the company for larger-scale RL across both digital and physical environments. We are looking for a full-stack researcher and engineer who understands the complete training system and can make strong judgments about when training is necessary, which methods are likely to work, and what not to pursue.

## What You’ll Do

- Build RL and post-training pipelines for multimodal, vision-language, and code-generating agents
- Develop infrastructure for supervised fine-tuning, preference optimization, reward modeling, and reinforcement learning
- Create systems for collecting, filtering, replaying, and learning from agent trajectories
- Design rewards, verifiers, and evaluations for long-horizon agent tasks
- Improve agents’ ability to plan, write and execute code, use tools, recover from errors, and complete complex workflows
- Scale distributed training and high-throughput rollout generation across multi-GPU environments
- Improve training reliability, reproducibility, observability, and cost efficiency
- Help define Moonlake’s long-term strategy for agent, robotics, and embodied-model training

## What We’re Looking For

- Real-world experience training large language, vision-language, multimodal, or code models
- Strong experience in reinforcement learning, post-training, or large-scale fine-tuning
- Experience building distributed training or high-throughput inference systems
- Familiarity with supervised fine-tuning, preference optimization, reward modeling, and agentic RL
- Experience with code-generation agents, long-horizon evaluation, or tool-using systems
- Strong Python skills and experience with PyTorch, JAX, or similar frameworks
- Ability to work across data, models, environments, rewards, evaluation, and infrastructure
- Strong research judgment and a bias toward building reliable systems

## Preferred Experience

- Experience at a frontier AI lab or organization operating large-scale training systems
- Experience with code-model post-training or autonomous coding agents
- Experience with multimodal models, robotics, simulation, or embodied AI
- Experience designing verifiable rewards or outcome-based training systems
- Experience scaling RL workloads across large GPU clusters

What Success Looks Like Within your first year, you will have:

- Built Moonlake’s core post-training and RL infrastructure
- Created scalable systems for learning from agent trajectories
- Delivered measurable improvements in agent quality and task completion
- Helped the team determine which problems require training and which do not
- Established a reliable foundation for larger-scale agent and embodied-model training

## Why This Role Matters

Moonlake’s agents must do more than generate content. They must understand complex requests, reason across vision and language, write and execute code, operate tools, build interactive worlds, and recover from mistakes. This role will build the training systems that allow those agents to continuously improve. We are committed to being an on-site, in-person team currently based in San Francisco.

## 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
- [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
- [AI Engineer](https://feeny.ai/job/ai-engineer-embedding-vc-palo-alto-1m93z761jy0x) — Palo Alto, CA
- [Project Manager](https://feeny.ai/job/project-manager-embedding-vc-palo-alto-9zspdz1anf7p) — Palo Alto, CA
- [Account Executive](https://feeny.ai/job/account-executive-embedding-vc-palo-alto-fm3kjwqx74p9) — Palo Alto, CA