Job Description
Etsy is looking for an Engineering Manager to lead our Machine Learning Systems team to build its next-generation machine learning infrastructure.
This is a full-time role located in San Francisco, CA, Brooklyn, NY
The Machine Learning Systems team is part of Etsy's central data organization. Our mission is to enable efficient and impactful machine learning across Etsy. Etsy is the primary source of income for many sellers, and we work hard to support them. In this role, you will manage and grow a high-performing distributed team, drive the vision and roadmap of different ML systems such as a Feature Store, ML Streaming Platform, ANN service, or ML Data Pipelines.
We’re a fast-growing team with the goal of building tools and platform capabilities for scientists and engineers to access our feature store, train state of the art models, deploy machine learning models to production, and test hypotheses quickly. We have built and integrated systems that enable large scale pipelines for training data, provide access to in-session real-time activity for our models, enable distributed model training and online inferencing for our models at scale.
What you will do:
Qualifications
Additional Information
At Etsy, we believe that a diverse, equitable and inclusive workplace makes us a more relevant, more competitive, and more resilient company. We welcome people from all backgrounds, ethnicities, cultures, and experiences. Etsy is an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender identity or expression, veteran status, or any other legally protected status. We will ensure that individuals with disabilities are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skillsets.