1 day ago
Brooklyn, NY, USASenior
Base Salary
$164k - $246k/yr
Responsibilities
- Write production-grade Python and participate in code reviews, pair programming, and architectural decision-making.
- Build, operate, and improve ML training and serving infrastructure on Google Cloud Platform and Kubernetes.
- Design and maintain deployment, resource-management, performance-tuning, and serving infrastructure for internally hosted and open-source LLMs.
- Apply ML, deep learning, transformer, prediction, and inference knowledge to infrastructure and system-design decisions.
- Partner with Applied Scientists to translate model-training and serving needs into self-service infrastructure.
- Design large-scale, high-availability infrastructure while balancing performance, cost, reliability, and observability.
Requirements
- Bachelor’s degree in Computer Science, Applied Statistics, Mathematics, Electrical Engineering, or a related quantitative field, or equivalent professional experience.
- 5+ years of professional experience building, iterating on, and troubleshooting complex backend and infrastructure systems.
- Strong software engineering fundamentals, including algorithms, data structures, and production-ready Python.
- Hands-on experience with cloud infrastructure, preferably Google Cloud Platform, and Kubernetes in production.
- Familiarity with metrics, logging, and tracing for monitoring and debugging distributed systems.
- Working knowledge of ML fundamentals, LLM serving infrastructure, open-source model hosting, transformer architectures, predictors, and serving-system design.
- Comfort designing large-scale, highly available infrastructure.
Benefits
- Equity package, annual performance bonus, and competitive benefits supporting employees and their families.
- Candidates near the Brooklyn office are generally expected to work onsite 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.
Tech Stack
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.