Senior Applied Scientist II

Key Skills

AWS, Azure, Design, Google Cloud Platform (GCP), Machine learning techniques, Operations, Statistics

Job Description

We are looking for an Applied Machine Learning Professional to build innovative multi-modal classification models to moderate the content on Etsy's House of Brands in order to make our platforms trusted and safe for our buyers and sellers.

As the Senior Applied Scientist you will be responsible for building multimodal classification models that automatically evaluate the text, image, and metadata of user generated content on Etsy risks to trust or safety. This includes being responsible for evaluating and monitoring and improving the performance of these models and systems. In addition, your most impactful and innovative work will be shared internally and externally through blogs and conference papers. Do you find joy in applying new and advanced machine learning techniques to make e commerce a safer place to transact? If so, this could be the perfect match.

This is a full-time position reporting to the Engineering Manager, Content Evaluation, Trust & Safety Engineering. 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. This role requires your presence in Etsy’s Dublin office in an in-person or flex capacity. Learn more about our Flex and Office-based work modes and workplace safety policies here.

What’s this team like at Etsy? 

• The Content Evaluation squad within Trust & Safety Product Engineering works to automatically remove dangerous and risky member generated content from our marketplaces.

• We work closely with other Trust & Safety partners in Product, Design, Engineering and Operations, as well as with our Machine Learning Enablement engineering teams.

• This year, we are working to reduce the visibility of dangerous or risky items from our biggest marketplace, Etsy.com.

What does the day-to-day look like?

• Build novel multimodal machine learning (ML) models to evaluate content for risks to Etsy's members
• Develop a strategy for collecting unbiased (or less biased) training data to ensure our content moderation models have minimal blind spots
• Establish and maintain documentation and code samples on the current best way to solve the content moderation challenges that Etsy's marketplace faces
• Work collaboratively with our product and operations partners to prioritize the highest risks and propose technical solutions
• 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.

Qualifications

Qualities that will help you thrive in this role are:

• PhD in Computer Science or Statistics (other relevant fields also welcome) or equivalent education and industry experience
• A proven track record of industry experience with applied ML development in a production environment, including modeling unstructured data (e.g., natural language text, images, etc)
• Experience collaborating with globally distributed teams and partners
• Ability to work with relevant data at Etsy scale (at times, in the petabytes)
• Ability with public Cloud technologies for software development (e.g., GCP, AWS, or Azure)

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 and is an affirmative action employer. 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. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.