Etsy is hiring a Senior Machine Learning Engineer to join the Perso Engine Quality team. Our team develops custom machine-learning models that can drive product vision and customer impact. We’re a cross-functional group of engineers, machine learning scientists, and product managers, and we interface with a diverse set of staff, ranging from data scientists, designers, product facing engineers and managers, and more!  As an engineer on our team, you will play a major role in improving the shopping experience for millions of Etsy buyers and the selling experience for millions of etsy sellers. We are looking for individuals who are product and delivery-driven, and are passionate about using  ML to improve Etsy for both buyers and sellers.

This is a fantastic opportunity for someone interested in building state-of-the-art ML systems for a two-sided marketplace with 90+ million buyers, 6+ million sellers, and hundreds of millions of unique, handmade, vintage listings.

This is a full-time position reporting to the Engineering Manager.  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?

Here’s a taste of the problems we’re solving:

• What are some measurable, scalable, and meaningful proxies for quality? 

• How can we help our sellers learn to improve their listings?

• How can we help buyers  find the good stuff?

• How can we measure listing completeness? 

• How can we use reviews to quickly learn when product issues arize?

• How do we measure one-of-a-kindness of our seller’s unique items?

What does the day-to-day look like?

• Work cross functionally with product engineering teams and communicate your ideas and model capabilities to product managers

• Push the state of the art and apply the latest advances in deep learning and multi-modal machine learning to improve buyer and seller experiences 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

• 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 track record of applying machine learning techniques in addressing real-world problems 

• You have focused expertise in one of the following fields: natural language processing, image processing, reinforcement learning, deep learning, multi--modal learning

• You have experience training, deploying, monitoring, debugging and iterating on production machine learning systems. 

• You are proficient with databases, SQL, and scripting languages. 

• You have the ability to apply statistical techniques to tackle real problems. 

• You have successfully taken requirements from design through to delivery both independently and with a team. 

• You write understandable, testable code and you have an eye towards maintainability. 

• You care about the implications of your work on end users.