Software Engineer I, Machine Learning

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:

$130,000.00 - $168,000.00

What’s the role?

We are looking for a Software Engineer to join the ML Training Data team. You will build and scale the infrastructure to help machine learning teams generate training datasets. Your work will support high visibility areas at Etsy including Search, Ads, and Recommendations.

Are you curious about systems and machine learning? If so, this role could be a great fit.

This is a full-time position reporting to the Engineering Manager, ML Training Data. 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?

• We develop infrastructure to help machine learning teams generate training datasets with point-in-time accuracy. Our infrastructure scales to millions of impressions and terabytes of data daily. 

• We are a small team of senior engineers. There’s a lot of opportunities to learn from peers!

• We are geographically distributed. We typically work in New York hours and periodically meet in-person in Brooklyn.  

• We are part of the ML Enablement (MLE) organization. MLE builds the tools and platforms to power machine learning systems at Etsy.

What does the day-to-day look like?

• Write high-quality Scala and Python code, participating in code reviews and pair programming.

• Optimize large-scale Spark and Dataflow pipelines with the support and guidance of your peers (e.g. optimize storage formats and reduce job runtime & cost).

• Work cross functionally with applied scientists to understand how our customers develop ML models, and use that understanding to clarify requirements.

• Use generative AI and other productivity tools thoughtfully, focusing on learning and intentional contributions.

• Proactively provide updates and ask for help as needed to ensure delivery of assigned work.

• Learn the skills, behaviors, and knowledge necessary to be an effective and collaborative engineer. 

• 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:

• Bachelor’s degree in Computer Science or equivalent practical experience (internships, side projects, etc).

• Solid engineering and coding skills, with the ability to write code in Scala, Python, and/or other equivalent languages.

• Knowledge and/or interest in machine learning and systems.

• Proficiency with data pipelines in Spark is a plus.

• The most important qualities we are looking for are curiosity, motivatio