Help empower our global customers to connect to culture through their passions.
AI/ML @ StockX:
Our AI/ML 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
In the Search & Recommendation team, we work together to productionalize custom machine-learning models that can drive product vision and customer impact at scale. We are looking for MLE who are product driven, and are passionate about making ML innovations in areas such as; Ranking, Optimization, Natural Language Processing, Information Retrieval, Graph Learning, Reinforcement Learning to help improve the StockX buyer/seller experience!
About the Role
Example Projects:
- Develop embeddings to collect salient signals of our customers, product, and user interactions.
- Extract real-time signals and multi-modality data (i.e, content and image) from our 5M+ product catalog images and 1M+ listings. Understand semantic content, aesthetic style, materials for retrieval, ranking and optimization.
- Build a real-time, in-session personalization recommendation system.
- Implement and compare supervised learning models (i.e, LR, GBDT, and DNNs) or ensembles of models, to improve metrics, often with multiple contending objectives (i.e, relevance, degree of personalization, average value of orders, repeated frequencies/purchases).
- Develop models with custom architecture or objective functions that target StockX-specific problems, such as recommendation system, personalized search, revenue optimization, seller fairness, seasonality, etc.
- Develop brand-new learning frameworks for query suggestions to understand buyer experience.
What You'll Do:
- Apply the latest advances in deep learning and machine learning to improve buyer and seller experiences on StockX.
- Prototype, optimize, and productionize large-scale ML models that help deliver key results in search experience.
- Conduct A/B experiments to validate ML models and pipelines.
- Work closely with product managers, Data scientists/engineers, full-stack engineers, and designers on product teams to deliver content to tens of millions of users.
Qualifications
Basic requirements:
- Experience with object-oriented or functional software development
- Experience working with AWS or other cloud providers
- Experience with big data platforms like Spark or Databricks
- Experience with machine learning libraries such as TensorFlow, PyTorch, or MXNet
- 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 postgraduate degree in Computer Science or related engineering fields plus 3+ machine learning experience, or 5+ years of practical machine learning experience.
- Experience with Kubernetes and Docker for productionalizing models
- You have experience in building machine learning systems at scale.
- You have experience in using AWS Cloud Platform, Databricks and/or OpenSearch.
- You have experience in building production search, recommendations, advertising, or general e-commerce systems.
About StockX
StockX is proud to be a Detroit-based technology leader focused on the large and growing online market for sneakers, apparel, accessories, electronics, collectibles, trading cards, and more. StockX's powerful platform connects buyers and sellers of high-demand consumer goods from around the world using dynamic pricing mechanics. This approach affords access and market visibility powered by real-time data that empowers buyers and sellers to determine and transact based on market value. The StockX platform features hundreds of brands across verticals including Jordan Brand, adidas, Nike, Supreme, BAPE, Off-White, Louis Vuitton, Gucci; collectibles from brands including LEGO, KAWS, Bearbrick, and Pop Mart; and electronics from industry-leading manufacturers Sony, Microsoft, Meta, and Apple. Launched in 2016, StockX employs 1,000 people across offices and verification centers around the world. Learn more at www.stockx.com.
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.
