Software Engineer II, Machine Learning, Risk Engineering

About the role

The Machine Learning Engineer II position within the Risk Engineering organization at Etsy is dedicated to building advanced and scalable ML technologies to detect and prevent risk and fraud on the global marketplace. The role involves collaborating with experienced ML professionals on large-scale projects aimed at protecting millions of users.

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.

Requirements

• You have a Ph.D. degree in a quantitative field (e.g., computer science, industrial engineering, applied math, statistics) with machine learning research experience on risk/fraud applications, or a M.S. degree in related fields and 3+ years of industry experience in risk/fraud applications.
• You have published at peer-reviewed conferences, such as ICML, KDD, SIGIR, WSDM, etc. or you have given talks/tutorials in the industrial conferences like Spark Summit.
• You may have experience deploying, debugging, and improving machine learning models in large-scale production systems in public clouds (e.g., GCP, AWS, or Azure), with experience in Infrastructure as Code (e.g., Terraform).
• You have experience or interest in building production risk/fraud detection systems, or general e-commerce systems.

Qualifications

• You have a Ph.D. degree in a quantitative field (e.g., computer science, industrial engineering, applied math, statistics) with machine learning research experience on risk/fraud applications, or a M.S. degree in related fields and 3+ years of industry experience in risk/fraud applications.
• You have published at peer-reviewed conferences, such as ICML, KDD, SIGIR, WSDM, etc. or you have given talks/tutorials in the industrial conferences like Spark Summit.
• You may have experience deploying, debugging, and improving machine learning models in large-scale production systems in public clouds (e.g., GCP, AWS, or Azure), with experience in Infrastructure as Code (e.g., Terraform).
• You have experience or interest in building production risk/fraud detection systems, or general e-commerce systems.

Skills

• Experience or interest in building production risk/fraud detection systems, or general e-commerce systems.

Benefits

• Annual performance bonus
• Competitive benefits that support you and your family

Pay

Salary Range: $153,000.00 - $199,000.00

Schedule

Full-time position

Additional Information

If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. Etsy is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status, or any other characteristic protected by applicable law.