Job Overview

Location
Brooklyn, New York
Job Type
Full Time
Date Posted
5 months ago

Additional Details

Job ID
22324
Job Views
74

Job Description

We are a team of applied scientists, ML engineers, data analysts, and product managers, who work as a multi-functional team to build, improve and maintain online search ranking systems that can drive customer impact in Etsy. 

  • We design, develop and maintain of large scale, performant machine learning systems

  • We research and implement novel ML models to improve relevance and personalization in search results

  • We influence product roadmap using data backed analysis

What does the day-to-day look like?

  • Find opportunities to improve our buyers’ search experience and propose a project plan backed up with data analysis

  • Scope data-driven projects and collaborate with internal & external teammates from Data, Modeling and ML Infrastructure.

  • Iterate quickly to design, implement, optimize, and test new modeling improvements in both offline and production A/B experiment settings.

  • Lead high code quality and engineering standards in the team; Maintain and improve core ML pipeline

  • 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:

You are a caring teammate who enjoys helping others. Your growth mindset means you find joy in continuous learning and self-improvement. You care about how ML impacts real people. It also helps if you have:

  • 1+ years of experience in areas related to Search, Recommendation Systems, Personalization, and Applied ML.

  • Proficiency in writing high quality production code, demonstrating strong software engineering and coding skills

  • Proficiency in neural ML frameworks such as Tensorflow, PyTorch

  • Experience with web-scale data preprocessing and ML workflow such as Apache Spark, Beam, Kubeflow Pipelines etc

  • Experience working with cloud computing services such as Google Cloud Platform

  • A product focus and passion for using machine learning to address real-world problems. Knowledge of various machine learning techniques and key parameters that affect their performance

  • Strong verbal and written communications skills and comfort working in a remote team with a strong Slack and Google Docs.

  • Self-directed, flexible, and strong sense of ownership.




Qualification

Any Graduate

Experience Requirements

Freshers, Experienced

Location

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