Engineer Machine Learning - R&D (Jeune PHD)

ACV; Paris; Hybride; EUR 40 000 - 80 000; Plein temps

Résumé du poste

Une entreprise innovante recherche un jeune diplômé en doctorat pour rejoindre son équipe de R&D en apprentissage automatique. Vous serez chargé d'améliorer des modèles de vision par ordinateur et de développer de nouvelles fonctionnalités pour l'inspection des véhicules. Ce rôle vous permettra de travailler sur des problèmes complexes tels que la segmentation sémantique et la reconstruction 3D. Avec un environnement de travail hybride et des avantages compétitifs, cette opportunité est idéale pour ceux qui souhaitent contribuer à la technologie de détection des dommages dans le secteur automobile. Rejoignez une équipe dynamique et faites une différence dès le premier jour.

Prestations

Environnement de travail hybride

Tickets restaurant avec Swile

Assurance santé avec Alan

Accès à un espace dynamique à WeWork

Compensation équitable et compétitive

Qualifications

• Expérience solide en vision par ordinateur et apprentissage profond.
• Capacité à analyser les résultats avec des techniques statistiques.
• Compétences en programmation et en scripting avec Python.

Responsabilités

• Améliorer les modèles de segmentation existants et développer de nouvelles approches.
• Aider à l'intégration des modèles ML en production.
• Documenter les progrès et élargir les capacités de l'équipe.

Connaissances

Vision par ordinateur

Apprentissage profond

Analyse statistique

Python

Techniques de modélisation

Gestion de projet

Communication efficace

Formation

Doctorat en Vision par ordinateur

Doctorat en Apprentissage profond

Outils

PyTorch

Github

ClearML

Description du poste

Engineer Machine Learning - R&D (Jeune PHD)

Thursday, March 27, 2025

ACV’s mission is to build and enable the most trusted and efficient digital marketplaces for buying and selling used vehicles with transparency and comprehensive data that was previously unimaginable. We are powered by a combination of the world’s best people and the industry’s best technology. At ACV, we are driven by an entrepreneurial spirit and rewarded with a work environment that enables each teammate to impact the company from day one. ACV’s network of brands includes ACV Auctions, ACV Transportation, MAX Digital and ACV Capital within its Marketplace Products as well as True360 and Data Services.

Monk provides visual expertise through Computer Vision and Deep Learning algorithms. Today, our AI model is able to detect and classify damage on any type of vehicle, from photos taken on a smartphone. We are building a world-class damage detection and computer vision service. We are looking for people with a data-centric approach to help us build the future of vehicle damage detection.

The Opportunity

We are building a world-class online damage detection system and are looking for a recent PhD graduate (“Jeune Docteur·e”) to join the ML team and work on improving our computer vision models and develop new product features for vehicle inspection, such as video-based vehicle inspection. You will work on computer vision problems, such as instance and semantic segmentation with deep neural networks, 3D reconstruction or instance tracking, in a R&D team of around 10 computer vision scientists.

Missions

1. Improve our current segmentation models and develop new approaches according to SOTA
2. Help with the integration of ML models in production
3. Document your progress properly
4. Expand the machine learning capabilities of the team on new subjects (3D, video, edge computing)

Skills

1. Solid knowledge/experience in Computer Vision and Deep Learning, especially in detection and segmentation
2. Good understanding on how to analyse results, for instance statistical and modeling techniques including hypothesis testing, dimensionality reduction…
3. Good understanding of classical machine learning concepts: classification, regression, unsupervised clustering…
4. Good knowledge and experience in scripting and programming with Python
5. Aptitude for learning and applying new technologies related to data collection and annotation
6. Ability to initiate and drive projects to completion in coordination with a team lead and product manager.
7. The ability to communicate your results, suggestions for improvement and obstacles in a clear and effective manner.

Bonus/nice to have skills:

1. Experience with 3D or video for machine learning
2. Experience with edge computation
3. Experience with PyTorch or Detectron2

Background

A PhD in Computer Vision and/or Deep Machine learning

ML: Python, Pytorch, ClearML

Versioning: Github

Benefits

At Monk, we’re committed to building an equitable and inclusive global economy. We offer benefits to help you thrive in every stage of life, including:

• Hybrid work environment: possibility of being in full remote or working in the office
• Restaurant tickets with Swile and sport via Gymlib
• Fair and competitive compensation
• Health Insurance with Alan
• The premises are at WeWork Coeur Marais: in a super dynamic environment in the heart of Paris.

Interview Process

• HR interview (30min)
• PO Interview (1h)
• Technical Interview + Test (1h - 1h30)
• C-level interview (45min)

Contract Details

• Type of contract: CDI
• Location: Paris, France

We want you to feel comfortable being yourself at work every day. We accept you for who you are and consider everybody, on an equal opportunity basis, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, national origin, genetics, state of health, disability, age, marital status, political opinions, or military status or any other characteristic protected by law.

If you submit an application, Monk collects your personal data for the purposes of managing Monk's recruitment related activities. Your information will be accessible to Monk and its affiliated entities across the world. By submitting your application, you expressly give your consent to this use and processing of your personal data.