Applied Scientist

Applied Scientist

Technology @ StockX:

Our Technology Team is on a mission to build the next-generation e-commerce platform for the next generation customer. We build world-class, innovative experiences and products that give our users access to the world’s most coveted products and unlock economic opportunity by turning reselling into a business for anyone. Our team uses cutting edge technologies that handle massive scale globally. We’re an internet-native, cloud-native company from day 1 - you won’t find legacy technology here. If you’re a curious leader who loves solving problems, wearing multiple hats, and learning new things, join us!

The Computer Vision team at StockX works on applying computer vision techniques to various aspects of the business.  We work together to build custom machine learning models that can drive product vision and business-impact.  We are looking for individuals who are product driven, and are passionate about making ML innovations in areas such as; Convolutional networks, Vision Transformers, Diffusion, Few-Shot Learning, Self-Supervision, and Long-Tail Learning. 

What You'll Do:

• Apply the latest advances in deep learning and machine learning on various computer vision and ML domains.
• Prototype, optimize, and productionize large-scale ML models that help deliver key results.
• Work closely with product managers, ML scientists/engineers, full-stack engineers, and designers on product teams.
• Practice reproducible research and proper experimentation management

Basic requirements:

• Experience with object-oriented or functional software development
• Experience with Python
• Experience working with AWS or other cloud providers
• Experience with machine learning libraries such as TensorFlow, PyTorch, or MXNet
• Experience building and implementing deep learning concepts from scratch
• You have dealt with data exploration, analysis, and feature engineering
• You have relentlessly high standards for the products you deliver
• Work effectively in an agile development process

Preferred requirements:

• You have a Masters degree in Computer Science or related engineering fields, or 3+ years of practical machine learning experience.
• You have experience using AWS Cloud Platform.
• You have experience building a variety of computer vision applications
• You are comfortable working in an ambiguous environment and are self-driven