Etsy is looking for an experienced Machine Learning Engineer to join their Recommendation Ranking team to develop Machine Learning models to understand buyers, personalize, and rank recommendations across Etsy.com and the Etsy app, ultimately improving the shopping experience for millions of buyers.
Requirements
- 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 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.
Responsibilities
- Work closely with applied scientists, data scientists, product managers, and designers to set the future technical direction of Etsy’s recommendation system
- Engage in development work on projects, guide your team in technical decisions, deeply understand the problem space, and mentor engineers.
- Collaborate with stakeholders and partner teams to design robust end-to-end solutions
- Process large datasets and develop scalable pipelines to support ML workflows
- Prototype, optimize, and productionize large-scale ML models that help deliver key results
- Conduct experiments (A/B testing etc.) to validate the effectiveness of ML models and pipelines
Other
- This is a full-time position reporting to the Engineering Manager.
- 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.
- You have a collaborative mindset and are comfortable working with a diverse range of roles and departments.
