Machine Learning Engineer, Amazon Music - Catalog Quality

Teknik, data och digitalt · Data, AI och analys · Maskininlärning · Mjukvaruutveckling · Datavetenskap

I korthet

Amazon Music's Catalog Quality team is looking for a Machine Learning Engineer to improve music metadata accuracy using LLMs, computer vision, and NLP. You will design and build ML pipelines, collaborate with scientists and engineers, and contribute to operational excellence in low-latency systems.

Ansvarsområden

  • Design, build, and operate scalable machine learning pipelines and online serving systems.
  • 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#amazon music#catalog quality

Företag

Amazon

Publicerade jobb

för 3 veckor sedan

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Heltid

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Medarbetare

Platser

Bengaluru, India

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