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 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?

In this role you will:  

• Build and contribute at all levels of Etsy’s recommendations stack, ranging from application interfaces to back-end technologies (Python, MySQL, Scala, Vertica) as well as the machine learning stack (PySpark, Google Cloud Platform, Airflow).

• Work cross-functionally with various engineering teams (e.g. machine learning infrastructure, data science, search experience), participating in design, prioritization and implementation.

• Deploy models to production, sometimes including application development for your feature.

• Provide detailed and constructive design and code reviews.

• Empathy, communication, and technical skill are valued equally.

This is a full-time position reporting to the Senior 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?

The Recommendations Retrieval squad serves needs across the organization, helping the organization to leverage visual information and understand our unique and interesting inventory. As an engineer on our team, you will play a major role in improving the shopping experience for millions of Etsy buyers. 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! 

With your help, we are giving our buyers better tools to find what they are looking for and to help them form a connection with our sellers. In this role, you will put your skills to use by helping us improve the ranking and suggestions of localized results through machine learning algorithms. You will also create workflows and pipelines to effectively transform data into appropriate results for our buyers. You will join a talented team of engineers to collaborate on all of these projects. 

What does the day-to-day look like?

• In this role, you will have the opportunity to work with our ML team, Data Platform team and many product squads. We’re a growing team with a huge impact that builds tools and platform capabilities for data scientists and ML engineers to access feature data, build machine learning models, test hypotheses and productionize them on our ML platform hosted in Google Cloud. We value empathy, communication and technical skills equally. Here’s a taste of the problems we’re solving:

• How can we help someone find that perfect item, even when they don’t know what they’re looking for?

• How can the recommendations experience make Etsy come to life and feel as vibrant as the community of makers that’s behind it?

• How can we understand buyer’s motives and interests to personalize their experience?

• How can we help buyers to explore the breadth of Etsy's inventory?

• Our production systems rely on PHP, JavaScript, Java, Python and Scala; we are proud to have an engineering culture that encourages career growth and learning. You can learn more about our philosophies, tools, and some of the challenges we’ve been solving on our Engineering blog: http://codeascraft.com/

• 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:

• Possess 2+ years experience within a machine learning environment at scale

• Enjoy thinking about the implications of your work on end users. 

• You are comfortable collaborating with Machine Learning Applied Scientists, Product Managers, Data Analysts, and Designers to ensure that you’re delivering impactful product features.

• Have experience operating within a large codebase and working to create simplicity from complex systems, including using experiments and data to drive decision making.

• Are an analytical thinker and understand how to wield data to make informed decisions about your work.

• Write understandable, testable code with an eye towards maintainability.

• You turn ideas into deeply reliable and well tested code that other people – or you, six months into the future – will find easy to comprehend and modify.

• You have worked with machine learning and understand the needs of data scientists and ML engineers.

• You have solid engineering and coding skills, data structure knowledge and ability to write high performance production quality code.

• Extensive professional experience with objective-oriented programming languages: Python, Java, Scala, etc.

• Familiarity with machine learning and deep learning solutions across the entire machine learning stack, from data collection to evaluation

• Experience with machine learning frameworks (like PySpark, Scalding, etc.)

• Strong verbal and written communication skills.

• We are language-agnostic in our approach to interviewing.

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.