Sr. Engineer, Machine Learning

Poshmark is the leading fashion marketplace where style comes alive through discovery, self-expression, and human connection. Powered by a vibrant community of 165 million members, Poshmark brings real people and taste to shopping through a social experience shaped by shared discovery. The Machine Learning team is a central player in the Poshmark organization. Our mission is to build a world-class machine learning platform to bring value out of data for us and for our customers.

Responsibilities

Manage the entire ML lifecycle from data collection to deployment and monitoring; Collaborate across teams such as DS, QA, Infra and other engineering teams to productionize ML models; Write and optimize code for production environments, ensuring the robustness and reliability of ML services at scale; Manage and support current solutions while evolving them to incorporate newer technologies; Strong written, verbal, and presentation skills, with the ability to convey complex concepts in a clear and simple manner; Stay updated with the latest developments in data science and machine learning

Requirements

4+ years of experience applying Machine Learning to concrete problems at large scale; Bachelors or Masters in Computer Science, Statistics, or related field; Strong CS fundamentals. Should be able to write algorithms with ease; Solid understanding of Data Science and ML fundamentals – Regression, Classification, Tree-based approach, Neural network, and sequence-based models; Working experience with at least one ML model: LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc.; Should have excellent understanding of ML lifecycle; Good understanding of system architecture. Have knowledge of big data technologies – streaming architecture, data pipelines, etc.; Experience with Python, SQL, Java or Scala

Nice to have

Big data systems – Spark, EMR, S3, AirFlow; Production experience with LLMs and prompt engineering; Experience with Flask, FastAPI, RabbitMQ, Embeddings and Vector DBs