Applied ML Engineering Manager, Trust & Safety

Applied ML Engineering Manager, Trust & Safety

This job is no longer open

Company Description

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. 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.

Job Description

This is a full-time role located in San Francisco, CA or Brooklyn, NY. Our offices are currently closed due to COVID-19, and thus you will start/work remotely until it’s safe to return.

Etsy seeks a strong technical leader who can spearhead its applied science and machine learning effort for building out a new Trust & Safety Applied Machine Learning team. This team will be a part of the Applied Machine Learning Group and partner closely with Etsy’s Trust & Safety organization, whose charter is to keep Etsy’s global marketplace safe for our 60 million buyers and 2 million sellers. To learn more about Machine Learning and Applied Science at Etsy, check out https://dsml.etsy.com.

In this role you’ll work closely with your Trust & Safety product engineering and business partners to define and execute on machine learning-driven solutions for preventing fraud and abuse scenarios at Etsy. These scenarios range widely, from detecting fraudulent transactions and account takeovers (ATO) to identifying high-risk sellers, to mitigating platform liability by removing potentially counterfeit or unsafe products. Your work will be instrumental in transforming the T&S team from a manual moderation operation to an automation and data analysis centric, scaled abuse team.

As a senior applied science leader, you’ll build and manage a team of applied scientists and ML engineers who are experts in the Trust & Safety field. Your team will be responsible for building large-scale, deployable tools and products. We expect you to have solid ML and engineering skills in order to drive the technical vision while staying connected to the details. Ideal candidates have hands-on experience in Trust & Safety and are well-versed in applying techniques from deep learning, anomaly detection, clustering, behavioral graphs, image analysis, etc. We also expect you to have the leadership and communication skills needed to excel in a fast-paced, cross-functional, and impact-driven environment.

What you will do:

  • Hire and build a new team of applied scientists to work on Trust & Safety ML applications

  • Lead technical discussions and provide guidance to the team to build ML models that detect various kinds of online fraud and abuse in the Etsy marketplace. 

  • Define the Trust & Safety ML roadmap and supervise its execution. You will play a strategy lead and coordination role for T&S strategic initiatives that are heavily dependent on ML projects.

  • Cultivate a strong applied science culture, responsible for delivering business results with the high engineering quality and in a timely fashion. 

Who you are:

  • You are an experienced leader who brings both technical acuity and leadership skills to build a high-performing applied science team with strong engineering practices. 

  • You’re capable but stay humble. You’re naturally curious and are always asking questions to better understand the problem at hand. 

  • You’re deeply committed to collaboration and clear communication. You work effectively with leaders in product, science, experimentation and engineering.

  • You are familiar with trending and state-of-the-art technology in fraud and risk detection and/or machine learning.

For candidates who will work remotely from Colorado, visit this link for information related to Colorado's Equal Pay for Equal Work Act.

Qualifications

  • M.S./Ph.D. in Computer Science or related engineering/quantitative fields
  • 2+ years of experience in leading machine learning-driven teams, especially in the unsupervised learning, anomaly detection, and behavioral graphs

  • Involvement in the larger ML community (e.g. publications at conferences such as KDD, WSDM, WWW, NeurIPS; education through talks, podcasts, blog posts)

  • Experience in recruiting and managing applied scientists, including technical mentorship, coaching, and performance management.

  • Experience in building (or leading teams that build) trust and safety tools for e-commerce is a strong plus

Additional Information

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.

This job is no longer open
Logos/outerjoin logo full

Outer Join is the premier job board for remote jobs in data science, analytics, and engineering.