Machine Learning Engineer, Amazon Music - Catalog Quality
Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science · Software Engineering
In short
The Music Catalog Quality team is looking for a Machine Learning Engineer to enhance music metadata accuracy and completeness using LLMs, computer vision, and deep learning. This role involves designing and operating scalable ML pipelines, optimizing model performance, and collaborating with cross-functional teams to deliver high-quality catalog data for Amazon Music.
Responsibilities
- Design, build, and operate scalable machine learning pipelines and online serving systems.
- Work closely with applied scientists to optimize ML model performance and implement end-to-end solutions from experimentation through production.
- Drive technology choices and continuous innovation for ML infrastructure.
- Collaborate with product managers, scientists, and engineers to deliver the right product for customers.
- Build and maintain strong relationships across partner disciplines (Product, Science and Engg) to ensure customer-focused delivery.
- Contribute to operational excellence - monitoring, troubleshooting, and supporting high-volume, low-latency systems.
Requirements
- 1+ years of non-internship professional software development experience.
- Experience programming with at least one software programming language.
- Experience with at least one general-purpose programming language such as Java, Python, C++, C#, Go, Rust, or TypeScript.
Desired Qualifications
- Bachelor's degree in computer science or equivalent.
- Knowledge of computer science fundamentals such as object-oriented design, operating systems, algorithms, data structures, and complexity analysis.
#machine learning#mlops#data science#software development#amazon music#catalog quality
Company
Amazon
Job Posted
3 weeks ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Associate
Locations
Bengaluru, India
Qualification
Bachelor
Applicants
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