Senior Computer Vision Engineer

il y a 1 semaine


Paris, Île-de-France Monk AI Temps plein

About Monk AI

Monk AI provides visual expertise through cutting-edge Computer Vision and Deep Learning algorithms. Our AI is capable of detecting and classifying damage on any vehicle from photos taken by a smartphone. We specialize in image classification, instance and semantic segmentation, and are expanding our scope to topics such as 3D reconstruction.

Our Partners

We work with international leading players, including our parent company ACV Auctions, CAT logistics, Getaround, Autobiz, and Hgreg. We are looking for a strong individual contributor with rich experiences in deep learning computer vision and solid practical coding skills to improve our vehicle inspection products with state-of-the-art approaches.

Key Responsibilities

  • Contribute to and make significant and high-quality contributions to our deep learning computer vision teams' algorithms and PyTorch code.
  • Help Monk AI improve our data lifecycle, particularly our data collection and annotation processes.
  • Provide technical suggestions to improve our products and provide technical guidance to junior team members.
  • Explore one of our new R&D domains like 3D and video (pose estimation, 3D reconstruction, SFM) or edge computing.

Requirements

  • At 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/Engineer.
  • A strong theoretical background.
  • Experience working and improving a computer vision project.
  • Experience on collecting and annotating data to drive model improvements.
  • Experience with an agile methodology.

Bonus/Nice to Have

  • Experience with 3D, video, or edge computing for machine learning.

Contract

  • Type of contract: CDI.
  • Salary: €75,000 - €85,000, base & performance bonus.
  • Location: Paris, France (Hybrid).

Benefits

  • Hybrid work environment.
  • Restaurant tickets with Swile and sport via Gymlib.
  • Fair and competitive compensation.
  • Health Insurance with Alan.


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