Presti and Generative AI

Presti is a fast-growing AI company backed by Y Combinator and incubated at Station F in Paris. We believe in the power of AI and its potential to revolutionize the world of digital imagery.

At Presti, we leverage cutting-edge technology to generate realistic, high-quality product visuals. Our innovative solution empowers brands and retailers to generate infinite product images.

The founding team developed a strong expertise in AI within leading Tech companies (Uber, BCG Gamma, Scibids) and is building a proprietary tech. As a growing entity in the tech world, we value innovation, collaboration, and a keen willingness to learn and adapt.

We are looking for a Generative AI Data Scientist to join our AI team in developing new features and enhancing our product.

The Role

We are looking for Gen AI Data Scientists who are passionate about Image-generative models and creative applications of AI. We aim to expand our AI team that develops, trains, and deploys some of the industry's leading models.

This role is dedicated to exploring and advancing state-of-the-art models to deliver impactful features for our customers. Being a startup, we emphasize practical solutions and swift value delivery.

Key responsibilities:

1. Model development: Design, fine-tune, train, and deploy new in-house diffusion models tailored to product imagery.
2. Technical Collaboration: Work closely with the Product Team to ship the features
3. Training optimization / Tooling / Dataset Engineering : Assist on different subjects closely linked to the model development such as ****optimization of training pipelines, evaluation tools, dataset engineering and tooling.

Requirements

• Master’s degree in Computer Science, Machine Learning, or a related field.
• 2+ years working on machine learning projects involving vision models and deploying ML models in production.
• Proficiency in Python's scientific stack (including PyTorch).
• Ability to communicate machine learning concepts and results effectively through writing and visualization.
• Ability to work in a fast-paced, remote, and collaborative startup environment.