---
title: 'Recruiter, AI Research & Engineering at Genesis'
canonical: 'https://feeny.ai/job/recruiter-ai-research-engineering-genesis-paris-sz1ab5xczqew'
type: 'job'
last_seen: '2026-09-10'
---

# Recruiter, AI Research & Engineering at Genesis

- **Company:** Genesis
- **Location:** Paris, France
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-06-18
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/genesis/84cc3576-68e3-4d2d-850b-b5998c3ca6c5

## Job description

## About the role

Genesis is a physical AI research lab and full-stack robotics company on a mission to unlock unlimited physical labor. We're building a universal robotics foundation model that unifies high-fidelity physics simulation, generative modeling, and large-scale real-world robot data. To get there, we need the best Research Scientists, SWEs, and Robotics engineers and we're going head-to-head with the top AI labs to win them. That's the job: making the best engineers turn down everyone else. You won't be doing it alone, but you'll be early enough to shape how we hire for years to come: the playbook, the bar, the tooling, the team. If you want to build a recruiting function rather than inherit one, keep reading.

## What you'll own

- Closing elite technical talent. Full-cycle ownership of Research Scientist, SWE, and Robotics searches, from strategy through offer close, for candidates who are not on the market and have no reason to leave their current lab. Until you talk to them.
- Being the leaders' recruiting brain. Partner with founders and engineering/research leaders as a real advisor: shape the search, calibrate the bar, push back when needed.
- Sourcing where the best actually are. Papers, GitHub, conferences, communities, networks, not job-board spray. You go find them.
- Running a process candidates rave about. Senior researchers judge a company by how it hires. Make ours sharp, fast, and human.
- Building the machine. Stand up scalable sourcing, screening, and reporting in Ashby, and automate the parts that don't need a human so you spend your time on the parts that do.

You'll thrive here if

- You've closed senior, hard-to-win technical hires in engineering, AI/ML, or research, in a competitive market, full-360.
- You can talk credibly with technical stakeholders and earn the trust of people who are skeptical of recruiters.
- You think in systems and automation: you'd rather build a workflow (or an AI-assisted one) than do the same manual task twice.
- You're a self-starter who brings structure to ambiguity and moves fast without dropping quality.
- You read data well, including pipeline health, conversion, and where searches stall, and you adjust.

Bonus points

- You've hired Research Scientists, robotics, or deep-tech engineers specifically.
- You've recruited across UK, France, and US.
- You've used AI tooling to genuinely speed up sourcing or screening, and have opinions about what works.
- You've been early at a startup and built something from zero.

The offer

- Competitive base salary plus meaningful equity
- Visa sponsorship and relocation support
- Hybrid: 3-4+ days per week in our office
- A front-row seat to one of the hardest, most important problems in AI, and the chance to build the recruiting team behind it

Genesis is an equal opportunity employer. The robots we build will serve everyone, and we're building a team that reflects that.

## About Genesis

## Company Overview
- **One-liner**: Genesis AI is a full-stack robotics company building general-purpose robots with human-level dexterity and intelligence, powered by its own foundation model and hardware.
- **Entity Type**: Private (Seed stage – $105M raised)
- **Headquarters**: Paris, France (with offices in the San Francisco Bay Area and London)
- **Founded**: 2024 (emerged from stealth in July 2025)
- **Founders**: Zhou Xian (CEO), Théophile Gervet (President & Co-founder), Yi-Ling Qiao (Co-founder), Tsun-Hsuan Wang (Co-founder)

## Core Business
- **Primary industry**: Robotics Engineering / General-Purpose Robotics
- **Target customers**: Enterprises in manufacturing, laboratories, hospitals, and logistics; future expansion into homes.
- **Mission**: “Build the world’s most capable robots that unlock new possibilities for humans.”

## Products & Services
- **Eno (General-Purpose Robot)**: A full-body robot designed to operate reliably in factories, labs, hospitals, and homes. Driven by the GENE foundation model, it features 20 active, back-drivable degrees of freedom in its hands – matching human size and dexterity.
- **GENE-26.5 (Foundation Model)**: The AI model that powers Eno. It understands goals, reasons through changing conditions, and completes tasks end-to-end. Trained on massive human-based internet video data and proprietary simulation.
- **Data Collection Glove**: A lightweight, sensor-loaded glove worn by humans to collect high-quality manipulation data in real-world settings (e.g., lab technicians, manufacturing workers). This glove bridges the “embodiment gap” and feeds the model with human skill data.
- **Simulation System**: A proprietary simulation environment that accelerates model training and evaluation, reducing the iteration bottleneck.

## Market Standing
- **Valuation**: Not disclosed
- **Key Metric**: Total funding of **$105M** (Seed round, July 2025)
- **Notable Investors/Partners**: Eclipse (co-lead), Khosla Ventures (co-lead), Bpifrance, HSG; individual investors Eric Schmidt, Xavier Niel, Daniela Rus, Vladlen Koltun. Hardware manufacturing partner: Wuji Tech (China).
- **Growth Signals**:
  - Headcount grew from stealth to ~53–60 employees across Paris, Bay Area, and London (monthly growth +16% on LinkedIn).
  - 29 active job postings as of mid-2026, with a +262.5% monthly increase in openings.
  - Demonstrated a wide range of manipulation tasks (cooking, piano, Rubik’s cube, lab work) in public demos.
  - In talks with multiple customers for commercial deployment in pharma and manufacturing.

## Competitive Advantages
- **Full-stack integration**: Genesis controls both the AI model and the robotic hardware, enabling tighter optimization and faster iteration than companies that only do software or hardware.
- **Human-like dexterity**: The robotic hand matches human size, shape, and 20 degrees of freedom, allowing direct transfer of human demonstration data without an “embodiment gap.”
- **Data flywheel**: The combination of a low-friction data collection glove, simulation, and egocentric video creates a scalable pipeline for building a “human skill library.”
- **World-class team**: Founders and early engineers have backgrounds from Mistral AI, NVIDIA, Google DeepMind, Apple Intelligence, Unity, Epic, and leading robotics labs (Berkeley, CMU).

## Strategic Focus
- **Go full stack**: Continue integrating model, hardware, and data collection to deliver a complete general-purpose robot.
- **Commercial rollout**: Target early customers in pharmaceutical labs, manufacturing, and other industrial settings where dexterous manipulation is critical.
- **Scale data collection**: Expand the use of the data glove (both internally and with third-party partners) to rapidly grow the model’s skill repertoire.
- **Global hiring**: Aggressively grow the team across Paris, Bay Area, and London, especially in ML, simulation, rendering, and robotics engineering.

## Why Work Here
- **Culture**: Values include candor, responsibility, limitless ambition, and a joyful journey. The team is described as multicultural, optimistic, and pragmatic.
- **Work model**: Hybrid/office-based presence in Paris, San Francisco Bay Area, and London. No explicit remote policy mentioned, but the company emphasizes in-person collaboration.
- **Engineering culture**: Builders get to work on the hardest problems in robotics and AI – from foundation models to hardware design to data systems. The team includes pioneers of generative simulation, Diffusion Policy, and GPU compilers.
- **Notable perks**: The chance to shape a category-defining general-purpose robot; close collaboration with world-class investors and advisors; fast-growing startup with significant resources ($105M seed).

## Sources
1. [Genesis AI – Official Website](https://www.genesis.ai/)
2. [Genesis AI – Careers Page](https://www.genesis.ai/careers)
3. [TechCrunch – “Khosla-backed robotics startup Genesis AI has gone full stack, demo shows”](https://techcrunch.com/2026/05/06/khosla-backed-robotics-startup-genesis-ai-has-gone-full-stack-demo-shows/)
4. [LinkedIn – Genesis AI Company Profile](https://www.linkedin.com/company/gs-ai)
5. [robotics.press – Genesis AI Company Profile](https://robotics.press/news/genesis-ai-company-profile/)

## Other roles at Genesis

- [Training / AI Infrastructure](https://feeny.ai/job/training-ai-infrastructure-genesis-london-3dr9j4jj5bpg) — London, United Kingdom
- [Quadrants: Compiler Lead](https://feeny.ai/job/quadrants-compiler-lead-genesis-london-12t3masvvhtb) — London, United Kingdom
- [Simulation Infrastructure](https://feeny.ai/job/simulation-infrastructure-genesis-london-kvht3jcazypw) — London, United Kingdom
- [Genesis-World: Core Simulation Engine Engineer](https://feeny.ai/job/genesis-world-core-simulation-engine-engineer-genesis-london-nahhy0a9v4xc) — London, United Kingdom
- [Genesis-World: Core Physics Engineer](https://feeny.ai/job/genesis-world-core-physics-engineer-genesis-london-af6gdh0cnbhn) — London, United Kingdom
- [Robot Teleoperation Specialist](https://feeny.ai/job/robot-teleoperation-specialist-genesis-london-mcm3zmdg9rkz) — London, United Kingdom
- [Robot Learning](https://feeny.ai/job/robot-learning-genesis-london-jm6tc1tv6t6m) — London, United Kingdom
- [Site Reliability Engineer](https://feeny.ai/job/site-reliability-engineer-genesis-london-cpq05vt4mpzk) — London, United Kingdom
- [QA Engineer: Nyx Renderer & Genesis World](https://feeny.ai/job/qa-engineer-nyx-renderer-genesis-world-genesis-london-2zks5hza6tsh) — London, United Kingdom
- [Technical Program Manager](https://feeny.ai/job/technical-program-manager-genesis-london-2mt52dmhg247) — London, United Kingdom