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Senior Machine Learning Engineer


Amazon.com Services LLC


Location

Santa Barbara, CA | United States


Job description

DESCRIPTION

Do you have experience working with NLP, knowledge graphs, or search systems? Are you passionate about functional and operational performance? Do you want a chance to use cutting-edge technologies and work in close collaboration with applied scientists to deliver value to millions of customers?

Key job responsibilities
- Collaborate closely with applied scientists on machine learning tasks ranging from ML data management to training and deployment of ML models.
- Develop data collections, labeling pipelines and evaluation pipelines. Research and develop machine learning models for training resources.
- Collaborate with software engineering teams to integrate successful experimental results into complex Amazon production systems.

About the team
As part of the Amazon General Intelligence team, our group combines large volumes of structured knowledge and machine learning techniques to search the Amazon Knowledge Graph. We’ve solved many complex problems to get to where we are today, but there are still plenty of challenges ahead of us. Our goal is to be able to search the graph to answer any question, every time. We need your help to build the advancements required to make that a reality.

We are open to hiring candidates to work out of one of the following locations:

Los Angeles, CA, USA | Santa Barbara, CA, USA | Sunnyvale, CA, USA

BASIC QUALIFICATIONS

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- 5+ years experience with Machine Learning


Job tags

Full timeInternship


Salary

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