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- Tasks: Develop and evaluate machine learning models to enhance customer search experiences.
- Company: Join Amazon Music, a leader in immersive audio entertainment connecting fans and artists.
- Benefits: Enjoy a collaborative environment with opportunities for learning and growth.
- Why this job: Influence global music engagement while working with cutting-edge ML and AI technologies.
- Qualifications: 3+ years of software development experience and a Bachelor's in computer science required.
- Other info: Amazon values diversity and offers accommodations for applicants with disabilities.
The predicted salary is between 43200 - 72000 £ per year.
Machine Learning Engineer, Amazon Music Search
As a machine learning engineer on the Amazon Music Search team, you will collaborate with scientists on developing and evaluating machine learning models (Search Relevancy & Ranking) using large datasets such as meta-data and search queries to improve the customer experience through better search results or song sequencing. You will own scaling up successful prototypes and implementing a reliable automated production workflow for the model. You will collaborate 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. We like to ideate, experiment, iterate, optimize, and scale quickly while thoughtfully balancing speed and quality.
Key Job Responsibilities
- Use ML and Generative AI tools, such as Amazon SageMaker and Amazon Bedrock, to provide scalable production solutions to improve the 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 the business problem and aid them in the 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 develop new algorithms.
About the Team
Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. Learn more at Amazon Music .
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.
- Experience related to AWS services such as SageMaker, EMR, S3, DynamoDB, EC2, etc.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit here for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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Machine Learning Engineer, Amazon Music Search employer: Amazon
Contact Detail:
Amazon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer, Amazon Music Search
✨Tip Number 1
Familiarize yourself with Amazon's machine learning tools, especially SageMaker and Bedrock. Understanding how to leverage these platforms will not only enhance your technical skills but also demonstrate your readiness to contribute to the team from day one.
✨Tip Number 2
Engage with the Amazon Music community online. Follow their updates, participate in discussions, and understand their current projects. This will give you insights into their culture and help you align your experiences with their goals.
✨Tip Number 3
Prepare to discuss your past experiences with large datasets and machine learning models. Be ready to share specific examples of how you've improved processes or outcomes through your work, as this aligns closely with the responsibilities of the role.
✨Tip Number 4
Highlight your collaborative experiences in previous roles. Since the position emphasizes teamwork with applied scientists and software engineers, showcasing your ability to work effectively in a team will be crucial.
We think you need these skills to ace Machine Learning Engineer, Amazon Music Search
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Machine Learning Engineer position at Amazon Music. Understand the key responsibilities and required qualifications, as this will help you tailor your application.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with machine learning, software development, and any relevant AWS services. Be specific about projects you've worked on that align with the responsibilities mentioned in the job description.
Showcase Collaboration Skills: Since the role involves collaboration with scientists and engineers, include examples of past teamwork experiences. Highlight how you contributed to group projects and how you effectively communicated with different stakeholders.
Tailor Your Application: Customize your cover letter to reflect your passion for music and technology. Mention why you are excited about the opportunity to work with Amazon Music and how your skills can contribute to improving customer experiences.
How to prepare for a job interview at Amazon
✨Understand the Role and Responsibilities
Make sure you have a clear understanding of the job description and key responsibilities. Familiarize yourself with machine learning concepts, especially those related to search relevancy and ranking, as well as the tools mentioned like Amazon SageMaker and Bedrock.
✨Showcase Your Experience with Large Datasets
Be prepared to discuss your experience working with large datasets. Highlight specific projects where you've analyzed data, built models, or improved processes, and be ready to explain the impact of your work on customer experience.
✨Collaborative Mindset
Since the role emphasizes collaboration, think of examples where you've successfully worked with cross-functional teams. Be ready to discuss how you communicate with product stakeholders and integrate feedback into your work.
✨Demonstrate Passion for Learning and Innovation
Express your enthusiasm for learning new technologies and methodologies in machine learning. Share instances where you've experimented with new ideas or optimized existing solutions, showcasing your ability to balance speed and quality.
