Engineering - Monk - Sr Data Scientist in Computer Vision at ACV

Paris, Ile-de-France, France -

Full Time

Start Date

Immediate

Expiry Date

25 Jan, 26

Salary

0.0

Posted On

27 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer Vision, Deep Learning, Image Classification, Data Collection, Data Annotation, Python, Pytorch, SQL, Postgresql, Github, Agile Methodology, 3D Reconstruction, Video Processing, Edge Computing, Object Detection, Segmentation

Industry

Software Development

Description

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. Our network of brands include ACV Auctions, ACV Transportation, ClearCar, 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. Who we are looking for: Monk provides visual expertise through Computer Vision and Deep Learning algorithms: today, our AI is able to detect and classify damage on any vehicle, using photos taken by a smartphone. Monk is 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 mostly work on image classification, instance and semantic segmentation but are expanding our scope to topics such as 3D reconstruction. We are looking for a strong individual contributor with rich experiences in deep learning and computer vision and solid practical coding skills, to improve our vehicle inspection products with state of the art approaches. Come and join us to build the future of vehicle damage detection. 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 on 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 Databases: SQL, Postgresql, Sqlalchemy Versioning: Github Experience on collecting and annotating data to drive model improvements Experience with an agile methodology Experience with 3D, video, or edge computing for machine learning is appreciated 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.

Responsibilities

Make significant contributions to deep learning computer vision algorithms and improve data lifecycle processes. Provide technical guidance to junior team members and document progress properly.