AI Engineering Manager

Location: Paris, France

We are seeking a dynamic and innovative AI Engineering Manager to join our Fashion team at Meero, focusing on our AutoRetouch product line. As part of a 10-person startup-like team within Meero, you will play a crucial role in revolutionizing the production and editing of images for e-commerce through cutting-edge AI technologies.

About the Team and Products

Our Fashion team is dedicated to developing AutoRetouch, an advanced suite of AI-driven tools designed to transform image production and editing for large brands and marketplaces in the B2B e-commerce space. The core challenge is to develop and deploy AI algorithms at scale, capable of processing tens of millions of images annually.

AutoRetouch consists of two main products:

AI Image Enhancement: Automates the retouching process of pre-captured photos using advanced image segmentation and generative AI techniques, such as shadow creation. This product is already in the market and serving multiple clients, streamlining their image production workflows.
AI Image Generation: Focuses on generating high-quality images that showcase real clothes on AI-generated models. This product is currently in the pre-product-market fit stage, with significant potential for innovation and development.

Key Responsibilities

Team Leadership: Manage and mentor a team of engineers (Computer Vision, Data, Fullstack), fostering top-tier performance and a collaborative, innovative work environment.
Tech Vision: Direct our AI endeavors to ensure they remain at the cutting edge of technology. Oversee the development of two products: one mature product and another pre-market fit product focused on generative AI.
Technical Strategy: Define and drive the technical strategy, ensuring alignment with business goals while leveraging the latest advancements in AI and machine learning.
Hands-on Contribution: Maintain a hands-on approach in coding and problem-solving, providing technical guidance and best practices to support the team.
Cross-functional Collaboration: Work closely with other departments, including product management, translating tech potentials into impactful, market-ready offerings.
Quality Guardian: Establish and uphold quality control measures, guaranteeing the reliability and precision of our tech outputs.
Performance Management: Set clear performance objectives, conduct regular performance reviews, and support professional development within the team.

Qualifications/Skills

At least 7 years in software engineering, with a strong background in computer vision. Advanced degrees (Ph.D. or Master's) in Computer Science, Machine Learning, Computer Vision, or related fields are highly preferred.
Hands-on experience in building, implementing, and deploying cutting-edge machine learning and AI models in industry settings. Strong experience in Python and Pytorch. Familiar with DevOps principles: CI/CD, Cloud technologies, and Docker.
Over 3 years of successfully managing high-performing, diverse software engineering teams (ML, Front-end, Back-end).
Capable of seamlessly switching between hands-on execution and providing strategic advice, adapting to the needs of the situation.
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.
Thrive in a fast-paced environment, driving your team to excel by viewing changes as opportunities to add structure and order where needed.
Strong entrepreneurial mindset with the ability to drive projects involving complex technical challenges and take full responsibility for problems, ensuring end-to-end solutions.
Strong English and French communication skills, both written and verbal.

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, live coding session to assess your real-time coding skills and approach to problem-solving.
Final Interview, On-site meeting (Paris Office) with the CTO, CEO, and team members to discuss your fit within the team and company culture.

This is a unique opportunity to lead a talented team, drive technological innovation, and make a significant impact in the fashion e-commerce industry.