Senior Data Scientist

ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are transforming the automotive industry. ACV Auctions Inc. (ACV), has applied innovation and user‑designed, data‑driven applications and solutions. We are building the most trusted and efficient digital marketplace with data solutions for sourcing, selling and managing used vehicles with transparency and comprehensive insights that were once unimaginable. We are disruptors of the industry and we want you to join us on our journey. 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 world‑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. Who we are looking for Monk works with international leading players, such as our parent company ACV Auctions (USA), CAT logistics (Europe), Getaround (France), Autobiz (Europe) and Hgreg (Canada). We mostly work on image classification, instance and semantic segmentation but are expanding our scope to topics such as 3D reconstruction. We want a strong individual contributor with rich experience in deep learning and computer vision and solid practical coding skills, to improve our vehicle inspection products with state‑of‑the‑art approaches. What you will do Make significant and high‑quality contributions to our deep learning computer vision algorithms Help improve our data lifecycle, in particular our data collection and annotation processes Provide technical suggestions for our products and technical guidance to junior team members Document your progress properly Optionally explore one of our new R&D domains like 3D and video (pose estimation, 3D reconstruction, SFM) or edge computing What you will need Masters in a computer‑science field or related fields (data scientist, software engineer, etc.) At least 5 years of experience as an individual contributor in related fields (data scientist, software engineer, computer vision engineer) – including the time spent pursuing a PhD in a related field (computer vision, machine learning, etc.) if applicable Another 2 years as a senior contributor (senior or higher data scientist / engineer) Advanced knowledge of computer vision SOTA, including object detection and segmentation A strong theoretical background Great understanding of how to analyze results, provide action points and improvement strategies Ability to initiate, drive to completion and continuously improve computer vision projects Ability to communicate clearly and effectively in professional English Familiarity with our tech stack: ML (Python, Pytorch), Versioning (GitHub), collecting and annotating data to drive model improvements, agile methodology, and experience with 3D, video, or edge computing for machine learning (appreciated but not required) 50/50 hybrid schedule (on‑site and remote) 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. Seniority level Mid‑Senior level Employment type Full‑time Job function Information Technology Industries Software Development #J-18808-Ljbffr