Job Overview
About Monk:Monk provides visual expertise through Computer Vision and Deep Learning algorithms, today, our AI is able to detect and classify damage on any vehicle, from photos taken by a smartphone. We mostly work on image classification and instance and semantic segmentation but are expanding our scope to topics such as 3D reconstruction. Monk is working with international leading players, such as our parent company ACV Auctions (USA), but also CAT logistics (Europe) Getaround (France), Autobiz (Europe) and Hgreg (Canada). We are looking for a strong individual contributor with rich experiences in deep learning computer vision and solid practical coding skill, to improve our vehicle inspection products with state of the art approaches.
Come and join us to build the future of vehicle damage detection.
Missions:You will contribute and to and make significant and high-quality contributions to our deep learning computer vision teams algorithms and PyTorch codeHelp Monk improve our data lifecycle, in particular our data collection and annotation processesProvide technical suggestions to improve for our products and provide technical guidance to junior team membersYou will also have the opportunity to explore one of our new R&D domains like 3D and video (pose estimation, 3D reconstruction, SFM) or edge computing
SkillsAt least 5 years of experience as a Data-Scientist (excluding time spent on internships or in school )At least 2 years of experience as a Senior Computer Vision Scientist/EngineerA strong theoretical backgroundExperience working and improving a computer vision projectExperience on collecting and annotating data to drive model improvementsExperience with an agile methodology
Bonus/nice to have: Experience with 3D, video, or edge computing for machine learning
Contract:Type of contract : CDISalary : €75-,000.00 -€85,000.000 -base & performance bonusLocation : Paris, France (Hybrid)
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 environmentRestaurant tickets with Swile and sport via GymlibFair and competitive compensationHealth Insurance with AlanThe premises are at Agoranov and Platform 58: the ecosystem is top notch and super dynamic.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:Fit interview (30min)Technical Interview 1 (1h)Technical Interview 2 (1h30)Executive -level interview (30 min)
Our Company Stack:Databases: SQL Postgres with sqlalchemyML: Python, Torch, ClearML, RayInfrastructure: GCP, Kubernetes, CircleCIBackend: Python, Flask, Rabbitmq, OpenAPIFrontend: JS, TS, React
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.
Job Detail
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