Role overview
- You have experience of applying machine learning techniques in addressing real-world problems.
- You have experience in one of the following fields: deep learning, multi-modal learning, natural language processing, graph learning, distributed training/serving, ML infra platform.
- You have experience with large datasets and developing scalable data pipelines.
- You have deep familiarity with at least some of our tools: Python, Tensorflow, PyTorch, Spark, PySpark, Scala, Airflow.
- You have a collaborative mindset and are comfortable working with a diverse range of roles and departments.
- You write understandable and testable code. You have the ability to write and manipulate data at a large scale and you have an eye towards maintainability.
- A degree in Computer Science or related engineering fields with at least two years of industry experience.
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.