About
Work closely with applied scientists, data scientists, product managers, and designers to set the future technical direction of Etsys recommendation system. Process large datasets and develop scalable pipelines to support ML workflows. Prototype, optimize, and productionize large-scale ML models leveraging Tensorflow and other libraries to help deliver key results. Drive and pilot key technical investments and actively seek to close major gaps between existing frameworks and state-of-the-art technologies, by partnering with other teams like Data Engineering and Infrastructure teams. Conduct experiments (A/B testing etc.) to validate the effectiveness of ML models and pipelines. Participate and contribute to code review, pull requests, testing, maintenance and other activities to improve engineering effectiveness. Participate in full-time and intern interview process, mentor new members and interns on the team. Remote position. REQUIREMENTS:
Ph.D. in Computer Science, or related field and 1 year of relevant experience. Employer accepts post-bachelor experience. Experience to include: deep learning frameworks such as Tensorflow, Keras, and PyTorch Data management frameworks for large-scale distributed computing large scale data using Apache Beam, Tensorflow Transform, and other distributed processing libraries written in Rust or Golang Python, C++, Scala, and Linux Bash shell scripting web, Android or iOS applications large scale ML models to optimize their performance Google Cloud Platform, Amazon Web Services or Microsoft Azure
Remote position. HOURS:
Monday through Friday, 40 hours per week LOCATION:
Brooklyn, New York SALARY:
$183,000 - $216,000 per year Applicants:
Applicants: Email resume to apply@etsy.com. Reference code required when applying: 9478507 #J-18808-Ljbffr
Languages
- English
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