Computer Vision Engineer (ProperShot Team)

Position Overview

Location: Paris (France) 

We are seeking a dynamic and innovative Computer Vision Engineer to join our Propershot team at Meero, focusing on our Real Estate product line (B2B & B2C). As part of an agile, startup-like team of 11 people within Meero, you will play a crucial role in advancing our AI-powered image processing solutions for the real estate industry.

About the Team and Products

Our Propershot team is dedicated to revolutionizing image enhancement and editing through cutting-edge AI and computer vision technologies. Propershot is an advanced mobile-based and web-based platform that offers state-of-the-art tools to streamline and enhance the image editing workflow, enabling real estate agents to enhance and edit their images to achieve high professional-quality results effortlessly.

Our computer vision engineers thrive in a feature team setup, working closely with cross-functional members to deliver impactful solutions. This collaborative structure fosters innovation and efficient problem-solving. Discover how our engineers thrive in this environment here.

Check out one of ProperShot’s Key Features:

• Magic Eraser: A groundbreaking tool developed by our team that empowers users to effortlessly remove unwanted objects or imperfections from images. By leveraging and fine-tuning state-of-the-art inpainting algorithms, Magic Eraser simplifies complex editing tasks. Learn more about the tech story behind Magic Eraser here.
  

As a Computer Vision Engineer on our team, you will be involved in the full lifecycle of feature development from research and prototyping to scalable deployment. Your expertise will directly impact how real estate professionals present properties, making high-quality visuals accessible and effortless.

Key Responsibilities

• Design, develop, and optimize state-of-the-art computer vision algorithms for different applications.

• Lead and manage computer vision projects from concept to deployment, ensuring timely and high-quality delivery.

• Collaborate with cross-functional teams, including software engineers and product managers, to integrate computer vision solutions into products.

• Conduct research to stay up-to-date with the latest advancements in computer vision, machine learning and GenAI technologies.

• Develop and maintain comprehensive documentation for all computer vision projects and processes.

• Evaluate and select appropriate tools, frameworks, and technologies to enhance the efficiency and effectiveness of computer vision development.

Minimum Qualifications/Skills

• Preferred PhD degree in Machine Learning or Computer Vision, with a strong focus on GenAI.

• Proficiency in Python and strong expertise in PyTorch.

• Experience with generative models such as diffusion models, in particular in-depth understanding of model architecture and ability to adjust and finetune state-of-the-art models.

• Ability to communicate complex technical concepts to both technical and business stakeholders and demonstrated success in developing and executing AI strategies that align with business objectives.

• Strong entrepreneurial mindset and ability to drive projects involving complex technical challenges with a high degree of ownership, from initial concept through to deployment and maintenance

• Strong French communication skills, both written and verbal.

Preferred:

• Good knowledge of software development best practices, including version control (Git),containerization (Docker), continuous integration/continuous deployment (CI/CD), and Agile methodologies.

• Both English and French communication skills, both written and verbal.

• Is a plus: contribution to open source projects in the GenAI field.

Why join us: 

• Be part of a vibrant and innovative startup culture based in the heart of Paris.

• Work on cutting-edge projects (latest GenAI algorithms).

• Competitive salary.

• Opportunities for professional growth and development.

• Two days of working from home per week.

• Collaborative and inclusive work environment with a focus on work-life balance.

Hiring process: 

• A first call with a member of our Talent Acquisition Team

• A second interview to discuss technical expertise and give you more details about the position and the team.

• Technical test: a live coding session to assess your real-time coding skills and approach to problem-solving.

• Final Interview with the manager and our CTO to discuss your fit within the team and company culture.

• Reference check
  

Even if you don’t meet all the qualifications, we are open to any application of interest!