Staff Machine Learning Engineer II, Risk

Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, whether a team member of Etsy, Reverb, or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.

Salary Range:

What’s the role?

Etsy is hiring a Staff Machine Learning Engineer II, Risk to join the Risk Engineering organization. Our team keeps Etsy a safe and trusted marketplace by building advanced and scalable ML technologies to detect and prevent risk and fraud. We are looking for someone who is passionate about applying ML to deliver customer impact and has the domain expertise and vision to serve as a technical leader on the team for Graph ML research and development. 

This is a full-time position reporting to the Senior Engineering Manager, Risk ML. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. 

For this role, we are considering candidates based in the United States. Candidates living within commutable distance of Etsy’s Brooklyn Office Hub or in the San Francisco Bay Area may be the first to be considered. For candidates within commutable distance, Etsy requires in-office attendance once or twice per week depending on your proximity to the office. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more details about our  work modes and workplace safety policies here.

What’s this team like at Etsy?

Our work tackles pressing, real-world problems, including detection of transactional fraud, fake account creation, collusion fraud, and more. As a member of the product team, this role is an exciting opportunity to collaborate with experienced ML professionals on large-scale projects protecting millions of users.

Example Projects:

• Build 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 (GBDT and DNNs), or ensembles of models, to improve key metrics, often with multiple competing objectives.

What does the day-to-day look like?

• Solve customer and business problems (protecting against seller fraud, transactional fraud, account takeover, fake accounts, etc.) using machine learning techniques like graph ML, deep neural networks, and anomaly detection.

• Take ideas and scale them to millions to users. Develop and implement end-to-end plans, including idea generation, project planning, model development, production model serving, and ownership of model performance.

• Architect new and improve on existing ML systems, including building data architectures (e.g. large-scale graph data processing and storage), enabling faster and more robust model development, and improving model serving and orchestration.

• Provide technical leadership on long-term strategy, roadmap, ML design, and system architecture.

• Help to coach and mentor more junior team members.

• Collaborate with team members and cross-team partners for problem identification, technical design/delivery, and product operationalization.

• Share impactful and innovative work in the wider ML research community, including presenting at top-tier ML conferences such as: KDD, ICML, NeurIPS, etc.

• Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.

Qualities that will help you thrive in this role are:

• You have a Ph.D. degree in a quantitative field (e.g., computer science, industrial engineering, applied math, statistics) and 5+ years of industry experience, or a M.S. degree in related fields and 8+ years of industry experience on ML applications.

• You have focused experience building and productionizing graph ML models at scale for industry applications.

• You have research and development experience successfully adopting SOTA ML technologies to deliver measurable business value.

• Experience deploying, debugging, and fine-tuning machine learning models in large-scale production systems in public clouds, with experience in Infrastructure as Code.

• You are comfortable with using GIT, Linux environments, dockers, and other tools for writing robust, production-ready code.

• Google Cloud Platform (GCP) experience is a plus

Additional Information
 

What's Next
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. As we hope you've 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 tell us what you're all about.
 
Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. We are 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. If, due to a disability, you need an accommodation during any part of the application or interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.