Help shape the next generation of ecommerce for the next generation of consumer.
Staff Machine Learning Engineer
Looking for a Staff Machine Learning Engineer to help build StockX’s next generation ML Platform.
The Machine Learning (ML) team is responsible for building a thoroughly thought out architecture for data ingestion, feature engineering, model training, and productionalization. Post-production, we ensure continued success via MLOps techniques like data validation, drift detection, and model management. We currently have a wide array of ML problems including personalization, computer vision, natural language processing, anomaly/fraud detection, and forecasting.
As one of the newest teams at StockX we have a large amount of autonomy and freedom to build top notch machine learning systems that will allow us to test hypotheses and iterate on models with agility. Come be a part of the next stage for StockX as we take our next steps into the world of machine learning and artificial intelligence.
Improve overall data quality for use by multiple teams
Work cross functionally to deliver end-to-end ML products
Balance pragmatic engineering decisions with advancing ML model capabilities
Mentor team members to help level up the overall ML and engineering expertise
Design data collection for solving diverse ML problem areas
Foster a data-centric engineering culture
Deploy endpoints for use by services and front end teams
Perform A/B testing of models in production
Utilize MLOps methodologies for maintenance
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 solved data quality issues across multiple teams
You can architect data platforms for use
You have relentlessly high standards for the products you deliver
Nice to Have
Experience with transfer learning for computer vision applications
Experience with applying deep learning to recommender systems
Experience maintaining ML pipelines with tools like MLflow and Kubeflow
Experience working with message queue systems such as Kafka or Kinesis
Experience working with stream processing technologies such as Spark or Flink
Our global platform offers unprecedented 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. And, unlike other ecommerce sites, StockX hand-checks every purchase (20,000+ daily trades) at one of our regional authentication centers.
StockX’s special formula has rocketed the company to a multibillion dollar valuation, with 10M+ lifetime trades on the platform—more than half of those coming in the last year. And we’re just getting started.
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.