Senior Machine Learning Software Engineer - Remote

About the Role

The Mom Project is excited to support Etsy with their search for a Senior Machine Learning Software Engineer remote to join their team on a contract basis. As a Senior Machine Learning Software Engineer, you will play a crucial role in enhancing Etsy's Ads Quality team, which is one of the key machine learning engineering teams for Etsy Ads, our on-site ad platform. Etsy Ads is utilized by both small and large sellers to grow their businesses, making it a significant revenue stream for Etsy. The Ads Quality team focuses on determining which listings a buyer should be shown using machine learning techniques to maximize relevance, seller return, and Etsy revenue.

This Senior Machine Learning Software Engineer remote role offers the opportunity to work with our machine learning systems that impact our ad delivery system, including candidate retrieval, user engagement modeling, and ad experience on Etsy.com and the Etsy app. In addition to expanding our machine learning systems, you will collaborate closely with other machine learning engineers and our product analytics partners to help drive product and customer impact.

What You'll Do

• Develop and maintain scalable machine learning systems that enhance ad delivery and user engagement.
• Collaborate with cross-functional teams to integrate machine learning solutions into Etsy's ad platform.
• Implement and optimize data pipelines for efficient processing of large datasets.
• Monitor and debug production machine learning systems to ensure high performance and reliability.
• Drive continuous improvement in machine learning models through iterative testing and feedback.

Requirements

• Solid engineering and coding skills with proficiency in at least one programming language such as Python, Scala, Java, or C/C++.
• Experience with writing scalable and performant data pipelines on distributed systems.
• Hands-on experience with the ML lifecycle: training, deployment, monitoring, debugging, and iterating on production machine learning systems.
• Familiarity with vector databases, retrieval systems, and ANN tuning in production environments is a plus.
• Experience with machine learning frameworks and technologies such as TensorFlow and PyTorch.

Nice to Have

• Familiarity with Vespa and its application in machine learning systems.
• Experience in developing innovative machine learning solutions that drive business outcomes.

What We Offer

• Competitive salary range of $120,000 - $150,000 annually.
• 100% remote work flexibility, allowing you to work from anywhere in the United States.
• Collaborative and inclusive team environment.
• Opportunities for professional growth and development.
• Access to exclusive remote job positions from top companies.