Job Information
Etsy, Inc. Software Engineer, Machine Learning in Brooklyn, New York
TITLE: Software Engineer, Machine LearningJOB DUTIES: Serve within the Search team responsible for developing efficient, state-of-the-art, large-scale search models that sift through a universe of nearly a hundred million special, extraordinary items to help Etsy buyers find something they will love. Work closely with fellow engineers and applied scientists to improve the search experience of our buyers. Work hands-on with collaborators, to deliver robust production models that will be A/B tested live on Etsy.com. Work as part of a multi-functional team of applied scientists, ML engineers, data analysts and product managers. Build data ETL pipelines for new ML features. Iterate quickly to design, implement, optimize, and test new modeling improvements in both offline and production A/B experiment settings. Optimize training time, latency, reliability, and scalability of production ML models. Contribute high quality code and help maintain high engineering standards in the team. Remote Position.REQUIREMENTS: Bachelor’s degree in Computer Science, or related field and 2 years of experience as a Software Engineer Machine Learning, Machine Learning Engineer, or related occupation. Requires 2 years of experience writing high quality production code involving the application of software engineering and coding skills. Requires 1 year of experience in/with: Large-scale data ETL frameworks and ML workflow frameworks such as Apache Spark, Beam, Airflow, or Kubeflow Pipelines; Python and object oriented programming; and Modern ML frameworks such as Tensorflow, PyTorch, JAX, or Keras. Requires 1 year of experience in one of the following fields: information retrieval, recommendation systems, knowledge graphs, or natural language processing. Remote position.HOURS:Monday through Friday, 40 hours per weekLOCATION:Brooklyn, New York (Remote Position)SALARY:$142,000 - $184,000 per yearAPPLICANTS: Email resume to apply@etsy.com Reference code required when applying: REF# 7587783
Minimum Salary: 142000.00 Maximum Salary: 184000.00 Salary Unit: Yearly