3 days ago
Brooklyn, NY, USASenior
Base Salary
$164k - $246k/yr
Responsibilities
- Collaborate cross-functionally with product engineering teams and communicate model capabilities to product managers.
- Apply machine learning techniques to improve ad relevance and buyer engagement.
- Prototype, optimize, and productionize large-scale machine learning models and pipelines.
- Conduct A/B experiments to validate the efficiency of machine learning models and pipelines.
- Partner with product managers, ML engineers, and analytics teams to measure and improve the Etsy Ads product.
Requirements
- Strong engineering and coding skills with proficiency in at least one of Python, Scala, Java, or C/C++.
- Experience writing scalable and performant data pipelines on distributed systems.
- Experience across the machine learning lifecycle, including training, deployment, monitoring, debugging, and iteration of production ML systems.
- Familiarity with vector databases, retrieval systems, and approximate nearest-neighbor tuning in production environments is preferred.
- Vespa experience is preferred.
- Hands-on experience with machine learning frameworks and technologies such as TensorFlow and PyTorch is preferred.
Benefits
- Eligible for an equity package, annual performance bonus, and competitive benefits supporting employees and their families.
- Hybrid work near Etsy’s Brooklyn office generally requires coming in once or twice per week; remote candidates outside commuting distance may be considered case by case with occasional office travel.
- Full-time role reporting to the Engineering Manager.
Categories
About Etsy
Etsy operates a global e-commerce marketplace for handmade, vintage, and craft-supply goods, connecting independent sellers with buyers worldwide. It earns revenue through listing and transaction fees, payments, shipping, and seller services such as advertising. Founded in 2005 and headquartered in Brooklyn, New York, Etsy is publicly traded on Nasdaq and also operates marketplaces like Depop and Reverb.