Description
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.
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
