Amazon.com Services LLC
Software Development, entertainment
MachineLearningEngineerII,AmazonMusic-AIandPersonalization
Neural analysis suggests this role is
optimal for Mid candidates.
“Machine Learning Engineer II, Amazon Music - AI and Personalization at Amazon.com Services LLC. Skills: Machine Learning, Systems Engineering, Model Training, Inference Optimization. Design model training strategies. Implement model training strategies”
What You'll Achieve.
Improve model training efficiency; Reduce model training costs; Run models efficiently in production; Deliver scalable ML solutions; Deliver high-performance ML solutions; Help customers discover products; Help customers save money
Industry & Context.
Eliminate bottlenecks; Resolve issues; Troubleshooting
On-call rotation
What They're Looking For.
Must Have
3+ years full SDLC, Machine learning experience, Data mining experience, Information retrieval experience, Statistics experience, Natural language processing experience, Programming with Java, Programming with C++, Programming with C#, Object-oriented design experience, ML/LLM fundamentals experience, Build complex software systems, Experience with MXNet, Experience with TensorFlow, Experience with Caffe, Experience with PyTorch, Production monitoring experience, Metrics reporting experience, Build ML infrastructure, Deploy ML infrastructure, Maintain ML infrastructure, Experience with Spark, Experience with Ray, Own production services, On-call responsibilities experience
Nice to Have
Master's degree preferred, Large-model inference optimization expertise, Quantization techniques expertise, Pruning techniques expertise, Distillation techniques expertise, Semantic search pipelines design, RAG pipelines design, Integrate embeddings experience, Vector stores integration experience, Generative models integration experience, Online experimentation proficiency, Offline experimentation proficiency, Evaluation frameworks proficiency, Metrics instrumentation proficiency, Service-oriented architectures experience, Microservices design patterns experience, Manage service dependencies experience
What You'll Do.
Design model training strategies
Implement model training strategies
Improve training throughput
Reduce time-to-convergence
Profile data loading bottlenecks
Eliminate data loading bottlenecks
Profile preprocessing bottlenecks
Eliminate preprocessing bottlenecks
Profile model computation bottlenecks
Eliminate model computation bottlenecks
Develop training infrastructure
Maintain training infrastructure
Scale training infrastructure
Optimize models for inference
Implement inference optimizations
Benchmark inference optimizations
Establish performance benchmarks
Establish inference monitoring
Own production ML services
Own orchestration layers
Own model-serving infrastructure
Participate in on-call rotation
Respond to operational issues
Drive continuous improvement
Design monitoring solutions
Implement monitoring solutions
Design alerting solutions
Implement alerting solutions
Design observability solutions
Implement observability solutions
Manage service dependencies
Manage integration points
Drive operational excellence
Conduct post-incident reviews
Partner with research teams
Understand model architectures
Identify optimization opportunities
Collaborate on service integration
Collaborate on ownership boundaries
Contribute to best practices
Contribute to ML efficiency tooling
Evaluate hardware technologies
Evaluate software technologies
How You'll Work.
Team & Collaboration
Collaborate with research scientists; Collaborate with platform engineers; Collaborate with product teams; Collaborate with Science/ML teams
Process & Methodology
Software development life cycle
Full Job Description
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 https://www.amazon.com/music We are seeking a Machine Learning Engineer to join the Amazon Music AI and Personalization team and drive model training efficiency and inference optimization improvements. In this role, you will work at the intersection of machine learning and systems engineering, ensuring our models train faster, cost less, and run efficiently in production environments. You will collaborate closely with research scientists, platform engineers, and product teams to deliver scalable, high-performance ML solutions that help customers discover great new products and save money on products that they are evaluating. Key job responsibilities Model Training Optimization - Design and implement strategies to improve training throughput and reduce time-to-convergence - Profile and eliminate bottlenecks in data loading, preprocessing, and model computation - Develop and maintain training infrastructure that scales efficiently with model and dataset size Inference Optimization - Optimize models for low-latency, high-throughput production inference - Implement and benchmark inference optimization
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