---
title: 'AI Engineer H/F at Marso Robotics'
canonical: 'https://feeny.ai/job/ai-engineer-h-f-marso-robotics-paris-9v98hnvwxzwg'
type: 'job'
last_seen: '2026-11-08'
---

# AI Engineer H/F at Marso Robotics

- **Company:** Marso Robotics
- **Location:** Paris, France
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-19
- **Last confirmed live:** 2026-11-08
- **Apply:** https://jobs.ashbyhq.com/marsorobotics/c71afd09-5ec1-4f4a-a96e-38b6cc929bc4

## Job description

At Marso, as an AI Engineer, you will own the full lifecycle of the robot’s embedded AI models: data quality, training, production reliability, and tooling that speeds up the path from development to deployment.

## Responsibilities

- Contribute to the development, training, and evaluation of embedded models that control the Marso robot.
- Make sure models stay reliable through every deployment stage: PoCs, field tests, and production rollout in general.
- Help define and assess data quality.
- Automate dataset extraction for model training.
- Cut the time-to-value between AI model development and production deployment.
- Build internal tools to visualize and debug data and model performance.

Profile

- 3 to 5 years of experience in AI/ML engineering, ideally with an embedded or robotics component.
- Strong command of Python and deep learning frameworks (PyTorch, TensorFlow, or equivalent).
- Hands-on experience deploying models to production, including under hardware constraints (edge, quantization, optimization).
- Solid understanding of data pipelines: collection, cleaning, labeling, and quality measurement.
- Rigorous and autonomous, and you enjoy testing in real-world conditions, not just in simulation.
- Nice to have: experience with mobile robotics, ROS/ROS2, computer vision, or sensors (lidar, cameras, IMU).

We are committed to building a diverse and inclusive team and encourage all qualified candidates to apply, regardless of background.

Chez Marso, en tant qu’AI Engineer, vous prendrez en charge le cycle complet des modèles d'IA embarqués du robot : qualité de la donnée, entraînement, fiabilité en production et outillage pour accélérer le passage du développement à la mise en service.

Missions

- Participer au développement, à l'entraînement et à l'évaluation de modèles embarqués pour le pilotage du robot Marso.
- Garantir la fiabilité des modèles lors des déploiements : PoC, tests terrain et, plus généralement, mise en production.
- Participer à la définition et à l'évaluation de la qualité de la donnée.
- Automatiser l'extraction de datasets pour l'entraînement des modèles.
- Réduire le time-to-value entre le développement des modèles d'IA et leur mise en production.
- Développer des outils internes de visualisation et de debugging des performances des données et des modèles.

Profil

- 3 à 5 ans d'expérience en ingénierie IA/ML, idéalement avec une composante embarquée ou robotique.
- Maîtrise de Python et des frameworks de deep learning (PyTorch, TensorFlow ou équivalent).
- Expérience concrète du déploiement de modèles en production, y compris sous contraintes hardware (edge, quantization, optimisation).
- Bonne compréhension des pipelines de données : collecte, nettoyage, labellisation, mesure de qualité.
- Rigueur, autonomie et goût pour le test en conditions réelles, au-delà du travail en simulation.
- Un plus : expérience en robotique mobile, ROS/ROS2, vision par ordinateur, ou capteurs (lidar, caméras, IMU).

Nous sommes engagés dans la construction d’une équipe diverse et inclusive. Toutes les candidatures qualifiées sont les bienvenues et nous accordons une attention particulière aux compétences, à l’impact et à la capacité à contribuer au projet.

## About Marso Robotics

## Company Overview
- **One-liner**: Marso Robotics develops autonomous companion robots for logistics and warehouse operations, designed for rapid deployment without complex infrastructure changes.
- **Entity Type**: Private (Pre-Seed/Seed stage)
- **Headquarters**: Paris, France (with presence in the Netherlands)
- **Founded**: 2025
- **Founders**: Louis Caudrelier (CEO), Nicolas Texier (CTO), Thibault Moraisin (CPO)

## Core Business
- **Primary industry**: Robotics Engineering / Logistics Automation
- **Target customers**: B2B — logistics operators, warehouse managers, and supply chain companies with brownfield facilities where 93% of flows remain manual
- **Mission or purpose**: "Autonomous robots designed and built for the field, not the lab" — tackling the hardest manual tasks in logistics that resist traditional automation

## Products & Services
- **Autonomous Warehouse Robots**: Mobile robots combining perception, manipulation, and remote supervision to automate tasks like palletizing, de-palletizing, and container unloading. Deployed as a service (Robotics-as-a-Service) without requiring WMS integration or fixed infrastructure. Robots can be operational in under 24 hours and learn continuously from field operations.

## Market Standing
- **Valuation/Funding**: Not publicly disclosed (early-stage, privately held)
- **Key Metric**: Headcount of 13 employees (as of mid-2026), with a monthly growth rate of +15.4%
- **Notable Investors/Partners**: Supported by industry operators across AI research, robotics, and large-scale logistics. Selected among the 40 most promising startups at STATION F's "Future 40" program. Winner of Logistique Seine Normandie's second call for innovative projects (June 2026).
- **Growth Signals**: 
  - Rapid headcount growth (+15.4% monthly)
  - Active hiring for a Senior System Engineer role
  - Opened "MarsHome" — their physical lab/office space for building, testing, and learning
  - Selected for STATION F, the world's largest startup campus
  - First partner warehouse deployment (described as "the size of 10 football fields")

## Competitive Advantages
- **Plug-and-play deployment**: Robots deploy in less than 24 hours without WMS integration — a stark contrast to traditional automation that requires months of infrastructure changes
- **Embodied AI stack**: Proprietary control system combining transformer-based action models, reinforcement learning-trained behaviors, and teleoperation fallback for industrial-grade precision
- **Brownfield-first approach**: Designed specifically for existing warehouses where 93% of flows remain manual, rather than requiring greenfield facilities
- **Founding team experience**: The team previously built and deployed industrial robotics at scale (thousands of robots, hundreds of millions in revenue) at Exotec, Parrot, and Decathlon
- **Continuous learning**: Every deployment improves the system; what's learned in the field is reused to upgrade existing robots and accelerate new features

## Strategic Focus
- Current priorities: Validating real-world use cases with industrial partners (palletizing, de-palletizing, container unloading); building toward production-ready deployments; scaling the engineering team
- Growth direction: Moving from pilot deployments to production-scale operations, expanding the autonomous capabilities of their robot platform through continuous field learning

## Why Work Here
- **Engineering culture**: Deep technical focus on embodied AI, robotics, and real-world autonomy. The team includes founders with hands-on experience at Exotec, Parrot, and Decathlon
- **Work environment**: "MarsHome" is a dedicated space for building, testing, and iterating — a hands-on culture that values prototyping over theory
- **Team composition**: Highly technical — 27% of the team are founders, and 27% are in specialist/engineering roles. Small, agile team of ~13 people
- **Growth opportunity**: Early-stage company with rapid growth (+15.4% monthly headcount increase) — new hires will have significant ownership and impact
- **Location**: Based at STATION F in Paris (world's largest startup campus) with a presence in the Netherlands
- **Current open role**: Senior System Engineer — a critical senior position focused on building autonomy in warehouse environments

## Sources
1. [marsorobotics.com](https://marsorobotics.com/)
2. [LinkedIn - Marso Robotics](https://www.linkedin.com/company/marsorobotics/)
3. [nordic9.com](https://nordic9.com/companies/marso-robotics/)
4. [Logistique Seine Normandie](https://www.logistique-seine-normandie.com/marso-robotics-robots-logistiques-autonomes-avec-ia-embarquee/)
5. [github.com/marso-robotics](https://github.com/marso-robotics)
6. [Jobs.ashbyhq.com - Marso Robotics](https://jobs.ashbyhq.com/marsorobotics)

## Other roles at Marso Robotics

- [Chargé(e) de recrutement en alternance (Janvier 2027) H/F](https://feeny.ai/job/charge-e-de-recrutement-en-alternance-janvier-2027-h-f-marso-robotics-paris-xtgj226s893f) — Paris, France
- [Head of Intelligent Robotics H/F](https://feeny.ai/job/head-of-intelligent-robotics-h-f-marso-robotics-paris-k6j5ry95pbnk) — Paris, France
- [Ingénieur(e) Déploiement H/F](https://feeny.ai/job/ingenieur-e-deploiement-h-f-marso-robotics-cambrai-m0sbenche7zf) — Cambrai, France
- [Ingénieur(e) Déploiement Terrain — Logistique & Robotique H/F](https://feeny.ai/job/ingenieur-e-deploiement-terrain-logistique-robotique-h-f-marso-robotics-cambrai-zmf3sg6yqzh9) — Cambrai, France
- [Ingénieur(e) Déploiement H/F](https://feeny.ai/job/ingenieur-e-deploiement-h-f-marso-robotics-paris-vgxz80q8ab8m) — Paris, France
- [Ingénieur(e) Déploiement Terrain — Logistique & Robotique H/F](https://feeny.ai/job/ingenieur-e-deploiement-terrain-logistique-robotique-h-f-marso-robotics-paris-nbd5aa9sh08k) — Paris, France
- [Cybersecurity Lead H/F](https://feeny.ai/job/cybersecurity-lead-h-f-marso-robotics-paris-4f46dmgj1359) — Paris, France
- [Software Engineer Full Stack H/F](https://feeny.ai/job/software-engineer-full-stack-h-f-marso-robotics-paris-3frbnn94ca5p) — Paris, France
- [Senior System Engineer H/F](https://feeny.ai/job/senior-system-engineer-h-f-marso-robotics-paris-fgmdadraq8hx) — Paris, France