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Software Engineer II - Machine Learning
Etsy
New York•On-site••3-6 Yrs•4 days ago
Job description
Overview
Company Description
Responsibilities
- Prototype, optimize, and productionize large‑scale ML models that help deliver key results.
- Conduct A/B experiments to validate the efficiency of ML models and pipelines.
- Collaborate closely with product managers, ML engineers, full‑stack engineers, and designers on a product team to protect ~100 million users.
- Push the state of the art and apply the latest advances in deep learning and other machine learning techniques to improve trust and safety on Etsy.
- Share impactful and innovative work in the wider ML research community, including presenting at top‑tier ML/DS conferences such as KDD, WSDM, WWW, Recsys, etc.
- Assume additional tasks and responsibilities may arise, and duties may change with Etsy's discretion or applicable local law.
- Build models to detect, and enforce on, bad actors on the platform.
- Implement and compare supervised learning models (GBDT and DNNs), or ensembles of models, to improve key metrics, often with multiple competing objectives.
- Build unsupervised/semi‑supervised anomaly detection models to identify emerging patterns with high precision.
- PhD in a quantitative field (e.g., computer science, industrial engineering, applied math, statistics) with machine learning research experience on risk/fraud applications, or an MSc in a related field and 3+ years industry experience in risk/fraud applications.
- Published at peer‑reviewed conferences such as ICML, KDD, SIGIR, WSDM, etc., or has given talks/tutorials at industry conferences like Spark Summit.
Benefits
- This role offers a total rewards package that includes salary, equity, an annual performance bonus, and competitive benefits that support you and your family.
- EEO Statement