Machine Learning Engineer, Amazon Music - Catalog Quality
Teknik, data och digitalt · Data, AI och analys · Maskininlärning · Datavetenskap · Mjukvaruutveckling
I korthet
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.
Ansvarsområden
- 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.
Krav
- 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.
Önskade kvalifikationer
- 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
Företag
Amazon
Publicerade jobb
för 3 veckor sedan
Anställningstyp
Heltid
Arbetsform
På plats
Erfarenhetsnivå
Medarbetare
Platser
Bengaluru, India
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