Applied Scientist

Remote, USA

Applications have closed

StockX

Buy and sell the hottest sneakers including Adidas Yeezy and Retro Jordans, Supreme streetwear, trading cards, collectibles, designer handbags and luxury watches.

View company page

Help empower our global customers to connect to culture through their passions.

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!

Job Description

 

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

Qualifications

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

 

About Us
StockX is the premier current culture platform for buying and selling authentic, new, sought-after products. Our powerful marketplace connects buyers and sellers for sneakers, apparel, accessories, electronics, collectibles and trading cards around the world. We provide millions of global customers with unprecedented access and market visibility powered by real-time data, allowing them to transact based on true market value. Launched in 2016 in Detroit, Michigan, StockX now employs more than 1,500 people in offices and authentication centers in 11 countries.     We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. This job description is intended to convey information essential to understanding the scope of the job and the general nature and level of work performed by job holders within this job. However, this job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities or working conditions associated with the position. StockX reserves the right to amend this job description at any time.

Tags: Agile AWS Computer Science Computer Vision Deep Learning E-commerce Engineering Feature engineering Machine Learning ML models MXNet Python PyTorch Research TensorFlow Transformers

Regions: Remote/Anywhere North America
Country: United States
Job stats:  29  9  0
Category: Data Science Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.