Tech Stack

Description

You'll research and develop state-of-the-art ML and computer vision solutions for large-scale photo understanding, training and deploying deep learning models in production. You'll own the full lifecycle from exploration to deployment, working on classification, segmentation, retrieval, ranking, and personalization to create magical experiences for millions of users.

Requirements

• M.Sc. in CS, EE, or related field (or equivalent experience)
• At least 5 years of proven experience in ML and deep learning
• Deep understanding of computer vision principles with practical experience
• Experience managing full training pipeline including data curation, augmentation, evaluation
• Strong programming skills bridging research and production code

Responsibilities

• Architect state-of-the-art ML and CV solutions for large-scale photo understanding
• Train, fine-tune, and evaluate deep learning models for real-world applications
• Solve complex algorithmic challenges including classification, segmentation, retrieval, ranking, and personalization
• Run experiments quickly using large datasets and rigorous evaluation protocols
• Collaborate with engineering and product teams to translate research into production systems