Researcher - Computer Vision (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.
**The Opportunity**:
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 model and develop new product features for vehicle inspection, such as video-based vehicle inspection. You will work on one of 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

**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
- Ability to initiate and drive projects to completion in coordination with a team lead and product manager.
- The ability to communicate your results, suggestion 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: SQL, Postgresql, Sqlalchemy
- Versioning: Github

**Contract**:

- Type of contract : CDI
- Salary 60,000 - 70,000 Euros + 5,000 Euros performance bonus
- Location : Paris, France

**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.
- 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**:

- HR interview (30min)
- Take Home Project
- Hiring Manager Interview (1h)
- Technical Interview + Test (1h - 1h30)
- Senior level interview (45min)

Please note this is a Hybrid role and requires 2 Days a Week in our Paris office
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.