Senior Software Engineer, Machine Learning - 1012
Brain Trust, LLC
Austin, United States of America
1 month ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
$ 225KJob location
Remote
Austin, United States of America
Tech stack
Java
Automated Storage and Retrieval Systems
C++
Software Debugging
Distributed Systems
Python
Machine Learning
TensorFlow
Scala
PyTorch
Etsy
Machine Learning Operations
Software Coding
Data Pipelines
Job description
In this role, you will have the opportunity to work with our machine learning systems that impacts our ads delivery system, including candidate retrieval, user engagement modeling, and ad experience on Etsy.com and the Etsy app. In addition to expanding our machine learning systems, you will work closely with other machine learning engineers and our product analytics partners to help drive product and customer impact.
Requirements
Do you have experience in System deployment?, + Solid engineering & coding skills and proficiency in at least one programming language of Python, Scala, Java or C/C++.
- Experience with writing scalable and performant data pipelines on distributed systems
- Experience with the ML lifecycle: training, deployment, monitoring, debugging and iterating on production machine learning systems
Nice-to-Haves *
- Familiarity with vector databases, retrieval systems, and ANN tuning in production environments, with Vespa experience preferred.
- Hand-on experience in machine learning frameworks & technologies such as Tensorflow, Pytorch.
Benefits & conditions
4.54.5 out of 5 stars Austin, TX 78701 Remote $100 - $108 an hour
About the company
Etsy is seeking a Senior Engineer for our Ads Quality team, one of the machine learning engineering teams for Etsy Ads, our onsite ad platform.
Etsy Ads is used by our smallest and largest sellers to grow their businesses and it is one of the major revenue streams for Etsy. The Ads Quality team focuses on determining which listings a buyer should be shown using machine learning techniques in order to maximize relevance, seller return, and Etsy revenue. This includes building machine learning systems designed to retrieve the most relevant ads for our buyers across a range of advertising surfaces throughout the buyer's journey.