JobgetherRemote · Netherlands
just now
AmazonPosted 1d ago
L4
Machine Learning Engineer II, Amazon Music - MusicIQ
Machine Learning Engineer II, Amazon Music - MusicIQ at Amazon scores 85 out of 100 on AI centrality, which makes it a Level 4 role on this board.
US, WA, Seattlemidfull-time$144k-$194k
AI in this role
Design and scale machine learning infrastructure and data pipelines for music content intelligence and catalog serving.
javac
machine-learning-engineeringdistributed-systemsdata-pipelinesmlops
You will partner closely with Applied Scientists, Product Managers, and partner engineering teams to deliver systems that are reliable, cost-efficient, and optimized for both offline processing and real-time customer experiences. Your work will focus on improving system scalability, data quality, and operational efficiency, while enabling faster iteration and integration of AI-driven capabilities across the catalog ecosystem.
Key job responsibilities
- Enhance core ML infrastructure for tagging music content and improve music similarity capabilities.
- Partner with research scientists to deploy scalable ML models to production, improving model performance and architecture.
- Investigate design approaches, prototype new technologies, and evaluate their technical feasibility (e.g., AutoML, real-time ML serving systems).
- Collaborate with scientists to design and build data pipelines for processing massive datasets and scaling machine learning models.
- Develop and maintain platforms and services for building, evaluating, and deploying machine learning models used in real-world applications.
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
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
Preferred qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Machine Learning EngineeringDistributed SystemsData PipelinesMlopsJavaC
Questions you could be asked
- Tell me about a project where machine learning engineering was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where data pipelines was part of your work. What did you do?
- Tell me about a project where mlops was part of your work. What did you do?
- Walk me through how you've used Java in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Machine Learning Engineering, Distributed Systems, Data Pipelines, Mlops, and Java. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
Want your resume actually rewritten for this job?
The free preview above is everything we have today. A full resume rewrite is not live yet and has no price set. Join the waitlist and we will email you if we open it.
Similar roles
Data roles rated Level 4 at other companies.