R&D Computer Vision Engineer - Intern

Monk AI; France; Hybride; EUR 40 000 - 60 000; Temps partiel

Résumé du poste

A technology startup is seeking an R&D Computer Vision Engineer intern to contribute to deep learning algorithms for damage detection on vehicles. The role involves keeping up with advancements in computer vision and implementing new algorithms. Candidates should have a strong background in mathematics, Python, and deep learning with a Bachelor's or Master's in engineering. The position is hybrid, based in Paris, with a salary of €1550 monthly.

Prestations

Hybrid work environment

Restaurant tickets

Fair and competitive compensation

Ambitious team environment

Qualifications

• Advanced knowledge of mathematics, statistics, and machine learning.
• Practical experience in Python.
• Experience with deep learning algorithms for object detection or image segmentation.
• Ability to summarize and present information effectively.

Responsabilités

• Keep up with the state of the art in computer vision.
• Implement new algorithms according to a research agenda.
• Help integrate models into production.
• Document progress properly.

Connaissances

Mathematics knowledge

Statistics

Machine learning

Python

Deep learning for object detection

Team player

Information presentation

Formation

Bachelor or Master degree in engineering

Outils

Python

Pytorch

GCP

Description du poste

The Opportunity

The Opportunity: Monk provides visual expertise through Computer Vision and Deep Learning algorithms. Our AI is able to detect and classify damage 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 word-class API-based damage detection system.

We are looking for a great R&D engineer with some experience in computer vision. The successful applicant will contribute to the performance of deep learning algorithms for damage detection on cars. Possible topics include active learning for instance segmentation, 3D car reconstruction from images and car-specific visual encoders learned with self-supervised learning. Come and join us to build the future of vehicle damage detection.

The Missions

As a R&D Computer Vision Engineer intern your missions will be :

• Keep up with the SOTA in Computer Vision
• Implement new algorithms following a research agenda
• Help with the integration of the models in production
• Document your progress properly

Skills

• Advanced knowledge on mathematics, statistic and/or machine learning
• Practical experience in python
• Experience with deep learning algorithms for object detection and / or image segmentation
• Team player
• Ability to summarize and present information

Background

• Bachelor or Master degree in an engineering school.
• You have already worked on machine learning projects / Computer Vision (+++)
• You are interested in the startup environment, and you are autonomous and proactive
• Experience with agile methodology

Contract

• Type of contract : Internship
• Salary : 1550 € a month
• Location : Paris, France
• Hybrid work

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 to do a few days of remote work a week
• Restaurant tickets with Swile and sport via Gymlib
• Fair and competitive compensation
• 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.)

Interview process

• HR fit call (30min)
• Home exercise
• Online first Technical interview (1h30)
• Onsite second technical Interview (1h30)

Tech stack

Python, Pytorch, GCP

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.

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