Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect entrepreneurs with buyers around the world. Etsy, Inc.'s 'house of brands' portfolio has expanded to now include four individually distinct ecommerce brands – Etsy, fashion resale marketplace Depop, musical instrument marketplace Reverb, and Brazil-based handmade goods marketplace Elo7. As an Etsy employee, you’ll tackle unique problems alongside talented coworkers committed to Keeping Commerce Human. We're large enough that you'll focus on meaningful, complex challenges, but small enough that you can make a rewarding impact.

Etsy is an international marketplace with 65M+ handmade and vintage items from passionate artists, designers and vintage collectors. In order to keep Etsy a safe and trusted platform, we are building advanced and scalable ML/AI technologies as our marketplace continues to grow. We are seeking experienced ML professionals to join us as we establish a team focused on Trust and Safety under the Applied Machine Learning org.

In the Applied Machine Learning org, Applied Scientists work closely with product teams to develop custom machine-learning models that can drive product vision and customer impact. With the Trust & Safety focus, we are looking for individuals who are product and delivery-driven, and are passionate about making ML innovations in the area of risk management and fraud detection to better protect the integrity of our marketplace.

Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. For candidates who will work remotely from Colorado, visit this link for information related to Colorado's Equal Pay for Equal Work Act.

About the Role

Example Projects:

• Create large-scale graphs of users/listings/transactions, and develop and deploy state-of-the-art graph models for risk/fraud mitigation.
• Build unsupervised/semi-supervised anomaly detection models to identify emerging patterns with high precision.
• Implement and compare supervised learning models (LR, GBDT, and DNNs), or ensembles of models, to improve key metrics, often with multiple competing objectives

What You'll Do:

• Push the state of the art and apply the latest advances in deep learning and machine learning to improve trust and safety on Etsy
• Prototype, optimize, and productionize large-scale ML models that help deliver key results
• Conduct A/B experiments to validate the effectiveness of ML models and pipelines
• Work closely with product managers, ML engineers, full-stack engineers, and designers on product teams to deliver content to tens of millions of users
• 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.

Basic requirements:

• You have a track record of applying machine learning techniques in addressing risk/fraud problems in the industry
• You have focused expertise in one of the following fields: graph models, unsupervised anomaly detection, deep learning, natural language processing, or reinforcement learning.
• You have solid software development skills. You are comfortable with using git, Linux environments, dockers, and other tools for writing robust, production-ready code.

Preferred requirements:

• You have a Ph.D. degree in a quantitative field (e.g., computer science, industrial engineering, applied math, statistics) and 3+ years of industry experience in risk/fraud, or a M.S. degree in related fields and 6+ years of related experience.
• 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 have experience using Google Cloud Platform.
• You have experience in building production risk/fraud detection systems, or general e-commerce systems.

What's Next

If you're interested in joining the team at Etsy, please send a cover letter and resume telling us why you'd be right for the position. As you've hopefully seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So write to us and tell us what you're all about.

Our Promise

At Etsy, we believe that a diverse, equitable and inclusive workplace makes us a more relevant, more competitive, and more resilient company. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application and interview process, to perform essential job functions, and to receive other benefits and privileges of employment. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skillsets.

For U.S. roles only:

Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska. For candidates who will work remotely from Colorado, visit this link for information related to Colorado's Equal Pay for Equal Work Act.