The Opportunity:

This role is for a candidate who is looking to join a dynamic company as their first permanent contract following a PhD or a Post Doc.

Monk provides visual expertise through Computer Vision and Deep Learning algorithms. Today, our AI is able to detect and classify damages on any vehicle, with photos taken by a smartphone. The company is already working with international leading players, such as our parent company ACV Auctions (USA), but also CAT logistics (Europe) Getaround (France), Autobiz (Europe) or Hgreg (Canada).

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 model and develop new product features for vehicle inspection, such as video-based vehicle inspection. You will work on one of 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

• Improve our current segmentation models and develop new approaches according to SOTA

• Help with the integration of ML models in production

• Document your progress properly

• Expand the machine learning capabilities of the team on new subjects (3D, video, edge computing)

Tech Stack

• ML: Python, Pytorch, ClearML

• Databases: SQL, Postgresql, Sqlalchemy

• Versioning: Github

Contract:

• Type of contract : CDI

• Salary 60,000 - 70,000 Euros + 5,000 Euros performance bonus

• Location : Paris, France

Benefits:

At Monk, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—You. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits 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.

• The team is ambitious (Profiles: X, CentraleSupélec, UTC) and supported by references from AI (professor at l’X in AI, PhD ENS etc.)

We want you to bring your whole human self to work every day. We accept you for who you are and consider everybody on an equal opportunity basis without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status Monk collects your personal data for the purposes of managing Monk’s recruitment related activities. Consequently.

Monk may use your personal data in relation to the evaluation and selection of applicants. 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

Skills

• Solid knowledge/experience in Computer Vision and Deep Learning, especially in detection and segmentation

• Good understanding on how to analyse results, for instance statistical and modeling techniques including hypothesis testing, dimensionality reduction…

• Good understanding of classical machine learning concepts: classification, regression, unsupervised clustering…

• Good knowledge and experience in scripting and programming with Python

• Experience and aptitude for learning and applying new technologies related to data collection and annotation

• Ability to initiate and drive projects to completion in coordination with a team lead and product manager.

• The ability to communicate your results, suggestion for improvement and obstacles in a clear and effective manner.

• Bonus/nice to have skills:

• Experience with 3D or video for machine learning

• Experience with edge computation

• Experience with PyTorch or Detectron2

Background

• A PhD in Computer Vision and/or Deep Machine learning

Interview process:

• HR interview (30min)

• PO Interview (1h)

• Technical Interview + Test (1h - 1h30)

• Exec-level interview (45min)