Amazon Machine Learning Engineer Amazon Music Catalog MusicIQ 

United States, California, San Francisco 

172634600

Key job responsibilities
Key responsibilities are enhancing core ML Infrastructure for tagging music content and helping improve Music similarity. You will work closely with Research scientists to deploy scalable ML models to production, improving model performance and architecture.A day in the life
Develop and maintain platforms/services for developing, evaluating, and deploying machine learning models used in real-world applications.

- 2+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience in ML Ops using modern cloud solutions like Sagemaker, Kubernetes, Airflow etc.
- Proficiency in Python/Kotlin.
- Experience with AutoML platforms.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.