Engineer Machine Learning - R&D (Jeune PHD)
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 word-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.
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 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
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) #LI-MS1
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
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, suggestions 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
Tech Stack
ML: Python, Pytorch, ClearML
Databases: Postgresql, Sqlalchemy, DBT
Versioning: Github
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.
Interview process
Contract:
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 have a disability or special need that requires reasonable accommodation, please let us know.
If you submit an application, 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.
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