Staff Engineer, Machine Learning

About Poshmark

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.

About the Role

The Big Data team is a central player in the Poshmark organization. Our mission is to build a world-class big data platform to bring value out of data for us and for our customers. We are looking for exceptional, creative, and passionate Machine Learning engineers to join our ML and Big Data Team. You will be responsible for building and owning the next generation of algorithms and systems that have critical business impact for Poshmark and improve user experience for millions of users.

Responsibilities

• Explore large datasets, research, and develop algorithms/models to solve interesting business problems.
• Design and code highly scalable machine learning applications processing large volumes of data.
• Collaborate with multiple teams—data science, business, engineering—and help deliver machine learning-based data products across the company.
• Develop best practices and tools to enable robust delivery of features.
• Design and improve architecture in order to ensure horizontal scalability at all layers.

Requirements

• Strong background in Machine Learning with a deep understanding of algorithms and modeling techniques.
• 8+ years of overall software development experience with at least 5+ years of industry experience applying Machine Learning to concrete problems.
• Great coding skills and strong software development experience with Big Data technologies & Machine Learning frameworks like SparkML, TensorFlow, PyTorch, Keras.
• Understanding of distributed systems and large-scale engineering challenges is a plus.

Technologies We Use

• Scala, Python
• MongoDB, Redshift, Druid
• Airflow, Jenkins
• Spark, SparkML, Kinesis