обновлено 2 месяца назад
Sr. Software Dev Engineer, Amazon Music Catalog
168 100 - 227 400$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Sr. Software Dev Engineer, Amazon Music Catalog (GenAI/ML): Building scalable catalog platforms, data pipelines, APIs, and production GenAI/ML solutions for music metadata, rights, and high-volume customer-serving systems with an accent on distributed systems, model deployment, data quality, and operational efficiency. Focus on designing reliable architectures, deploying LLMs on AI acceleration hardware, optimizing inference, and solving high-scale processing and serving challenges.
Location: Seattle, Washington, USA
Salary: $168,100–$227,400 annually, plus sign-on payments and restricted stock units.
Company
Amazon Music provides audio entertainment experiences including music, podcasts, livestreams, personalized playlists, and artist content.
What you will do
- Lead the technical direction, architecture, and design of major catalog and developer productivity features.
- Build scalable, high-performance systems for music rights and metadata ingestion, reconciliation, processing, and serving.
- Develop automation, APIs, and frameworks that improve developer workflows and reduce operational toil.
- Develop, deploy, and scale production GenAI and machine learning solutions, including LLMs running on GPUs, Neuron, TPU, or other AI acceleration hardware.
- Partner with Applied Scientists, Product Managers, Technical Program Managers, Principal Engineers, and engineering teams on roadmaps and technical decisions.
- Mentor engineers, conduct design reviews, present technical designs, and influence architecture across partner teams.
Requirements
- 5+ years of professional, non-internship software development experience.
- 5+ years of programming experience with at least one programming language.
- 5+ years leading the design or architecture of reliable and scalable systems.
- Experience as a mentor, technical lead, or engineering team lead.
- Experience developing and deploying LLMs in production on GPUs, Neuron, TPU, or other AI acceleration hardware.
- Knowledge of machine learning and LLM fundamentals, including architecture, training and inference lifecycles, and model execution optimization.
Nice to have
- 5+ years covering the full software development lifecycle, including coding standards, code reviews, source control, builds, testing, and operations.
- Bachelor’s degree in computer science or an equivalent qualification.
Culture & Benefits
- Work on catalog platforms processing hundreds of millions of updates per day and serving tens of thousands of requests per second.
- Collaborate across engineering, science, product, and technical program teams.
- Benefits include medical, dental, vision, prescription, life and AD&D insurance, employee assistance, mental health support, and flexible spending accounts.
- Additional benefits include 401(k) matching, paid time off, parental leave, and adoption and surrogacy reimbursement.
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