Etsy jobs

Etsy seeks a Machine Learning Engineer II for the Risk Engineering team to build scalable ML technologies for fraud detection and risk prevention. Responsibilities include model development (GBDT, DNNs, anomaly detection), A/B experimentation, and collaboration on product teams. Salary ranges $153k–$199k. Location is Brooklyn, NY; candidates within commutable distance or in San Francisco Bay Area are first considered, with 1–2 days per week on-site required for those near the office.

Manager, Strategic Finance at Etsy, a Manager-level individual contributor role supporting Product and Engineering teams. Responsibilities include financial narrative development, ROI analysis, performance measurement frameworks, and executive-facing insights to guide prioritization. Based in Brooklyn with hybrid flexibility; salary $144K–$186K plus equity and bonus. Requires sophisticated financial analysis and strategic influence across analytics and product teams.

Etsy seeks a Staff Security Engineer I for Security Operations to participate in threat detection, incident response, and security automation. Responsibilities include threat hunting, security event analysis, incident command duties, detection rule development, and process improvement. The role offers $204k–$240k salary, on-call rotation participation (monthly minimum), and mentorship opportunities. Located in Brooklyn, NY with flexibility for candidates near San Francisco, Seattle, or Austin, but no remote option explicitly stated.

Senior Applied Scientist I at Etsy focuses on developing ML models for recommendation ranking, personalization, and buyer experience improvements. The role involves collaborating with software engineers and data scientists on ranking algorithms, reinforcement learning, and LLM innovations. Salary is $183k–$216k. The position is nominally remote for US-based candidates but requires in-office attendance in Brooklyn 1-2 days per week for those within commutable distance.

Etsy seeks a Senior Software Engineer I, Data Enablement to embed with product teams and help them adopt Data & ML Enablement infrastructure. The role designs and implements data integrations, flows, and ML feature pipelines using Scala, Python, Java, SQL, Spark, Kafka, Airflow, Looker, and GCP. Salary ranges $164k–$193k. Location is Brooklyn, NY; candidates near Brooklyn or San Francisco are prioritized, with 1–2 days per week on-site required for those near an office.