Software Engineer II, Machine Learning

Company DescriptionEtsy 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?

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 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. Specifically, we own platforms for attribution data generation and point-in-time joins.

• We aspire to make our infrastructure accurate, efficient, and easy-to-use. We have a culture of rigorous correctness validation and our platforms scale to millions of daily impressions.

• Our team is 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 at Etsy.

What does the day-to-day look like?

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

• Contribute to large-scale Spark and Dataflow pipelines. This could involve optimizing the storage formats to reduce runtime/cost or integrating with a new data source. 

• 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.

• 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 related engineering field.

• 2+ years of professional software engineering experience, ideally in a data/ML infrastructure role.

• Ability to write clear and well-tested code in Scala, Python, and/or other equivalent languages.

• Ability to collaborate and communicate effectively with teammates and cross-functional partners.

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

• Familiarity with Spark, Iceberg, and/or Ray Data is a plus.

• The most important qualities we are looking for are curiosity, motivation, and proactivity. A growth mindset will go a long way! 

Additional Information

What's NextIf 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 PromiseAt 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.