Software Engineer II, Machine Learning

Etsy•New York, NY

3d•$153,000 - $199,000•Hybrid

About The Position

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. 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.

Requirements

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.

Nice To Haves

Familiarity with Spark, Iceberg, and/or Ray Data is a plus.
Curiosity, motivation, and proactivity.
A growth mindset.

Responsibilities

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.