Applied Scientist
Remote, USA
StockX
Buy and sell the hottest sneakers including Adidas Yeezy and Retro Jordans, Supreme streetwear, trading cards, collectibles, designer handbags and luxury watches.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
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.
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Engineer II jobs
- Open AI Engineer jobs
- Open Senior Data Architect jobs
- Open Power BI Developer jobs
- Open Data Analytics Engineer jobs
- Open Manager, Data Engineering jobs
- Open Senior Business Intelligence Analyst jobs
- Open Sr Data Engineer jobs
- Open Principal Data Engineer jobs
- Open Business Data Analyst jobs
- Open Product Data Analyst jobs
- Open Data Quality Analyst jobs
- Open Data Manager jobs
- Open Sr. Data Scientist jobs
- Open Big Data Engineer jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open ETL Developer jobs
- Open Principal Data Scientist jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Business Intelligence-related jobs
- Open Data quality-related jobs
- Open Privacy-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open APIs-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open PhD-related jobs
- Open TensorFlow-related jobs
- Open Snowflake-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Data warehouse-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs
- Open CI/CD-related jobs