Senior Machine Learning Scientist
Help shape the next generation of ecommerce for the next generation of consumer.
About the role
Our Search Team, comprising of Applied Scientists and Software Engineers, specializes in Machine Learning. We work together to build custom machine-learning models that can drive product vision and customer impact. We are looking for individuals 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 search experience!
Example Projects:
- Develop powerful 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 ranking and optimization.
- Build the first personalized search ranking and real-time in-session personalization.
- 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 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, ML scientists/engineers, full-stack engineers, and designers on product teams to deliver content to tens of millions of users.
About you
- Experience with object-oriented or functional software development
- Experience working with AWS or other cloud providers
- Experience with big data platforms like Spark
- 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
- Bachelor’s degree in Computer Science, Computer Engineering or a related technical field required
Bonus points:
- You have a Ph.D. degree in Computer Science or related engineering fields, or 5+ years of practical machine learning experience.
- You have published at peer-reviewed conferences, such as ICML, KDD, SIGIR, WSDM, etc. or you have given talks/tutorials in the industrial conferences like Spark Summit.
- You have experience using AWS Cloud Platform.
- You have experience in building production search, recommendations, advertising, or general e-commerce systems.
About Us
In a world where consumers increasingly value self-expression and individuality, the market for hard-to-find fashion, collectibles, and electronics has never been hotter. Our global platform offers unique access to current culture while our data-driven, bid-ask model provides buyers with the real-time visibility to know they’re getting a fair price.
With key leadership and an inspiring vision in place, we believe we’re poised for significant growth: into new product verticals, new audiences, and new geographies. To get there we’re looking for flexible, all-in teammates who are excited by ownership and the opportunity to take on emerging challenges.
If you’re a doer who’s ready to solve tough problems with plenty of laughs along the way, we’d love to hear from you. We welcome, embrace, and respect all dimensions of diversity. We’re committed to creating an inclusive environment where all team members are valued, supported, and respected—and no, you don’t need to know a thing about sneakers or fashion.
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.