Job Description:
We are seeking a highly skilled Machine Learning Engineer to join our Amazon Music Search team. As a key member of this team, you will collaborate with scientists to develop and evaluate machine learning models using large datasets to improve customer experience through better search results or song sequencing.
You will be responsible for scaling up successful prototypes and implementing a reliable automated production workflow for the model. You will also work closely with software development engineers to integrate the model with the customer experience.
We are looking for individuals with a passion for learning, researching, and deploying production-ready science solutions in a highly collaborative environment. Our ideal candidate is someone who can ideate, experiment, iterate, optimize, and scale quickly while thoughtfully balancing speed and quality.
Key Responsibilities:
* Use ML and Generative AI tools such as Amazon SageMaker and Amazon Bedrock to provide scalable production solutions to improve customer experience, label data, build, train, tune, and deploy models.
* Collaborate with our Applied scientists to create and fine-tune scalable ML and Generative AI solutions for business problems.
* Interact with product stakeholders directly to understand business problem and aid them in implementation of their ML ecosystem.
* Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes.
* Work closely with science and engineering teams to drive model implementations and new algorithms.
About the Team:
Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. We offer experiences that serve all listeners with our different tiers of service. Our team is passionate about innovating at the intersection of music and culture.
BASIC QUALIFICATIONS:
* 3+ 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.
* Bachelor's degree in computer science or equivalent.
PREFERRED QUALIFICATIONS:
* 2+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization, or search experience.
* Experiences related to AWS services such as SageMaker, EMR, S3, DynamoDB, EC2, etc.