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Pioneer the future of AI and Machine Learning at Amazon! Join elite teams developing cutting-edge ML solutions that power Amazon Q's intelligent chat, revolutionize European operations through computer vision, transform retail search, and enhance Amazon Music recommendations for millions of customers worldwide. Collaborate with world-class ML engineers and scientists to build and deploy state-of-the-art models in natural language processing, computer vision, and recommendation systems. Shape the next generation of AI-powered products while learning from industry experts in a fast-paced, innovation-driven environment
Job Responsibility:
Develop and optimize ML models for production deployment at massive scale
Design and implement efficient ML pipelines and data processing systems
Create and enhance evaluation frameworks for model performance
Build and maintain MLOps infrastructure and tools
Contribute to the development of innovative prompting and retrieval strategies
Implement solutions for real-time inference and model serving
Work on large-scale distributed training systems
Collaborate with cross-functional teams to integrate ML solutions into products
Requirements:
Must be 18 years of age or older
Currently enrolled in Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields
Completed Bachelor's or Graduate degree in specified fields
Expected graduation between October 2026 - September 2029
Demonstrated experience with at least one general-purpose programming language such as Java, Python, C++, C#, Go, Rust, or TypeScript
Demonstrated experience one or more of the following: Data structures implementation
Basic algorithm development
Object-oriented design principles
Nice to have:
Experience with Deep Learning : C++ or Python, and AI, Neural Network, Tensorflow, PyTorch, MxNET, Llvm, Compiler, CPU, CUDA, Nvidia, TensorRT, TPU, Cluster Management, High Performance Computing, or Optimization
Previous technical internship(s) or demonstrated project experience
Experience with one or more of the following: AI tools for development productivity
Cloud platforms (preferably AWS)
Database systems (SQL and NoSQL)
Contributing to open-source projects
Version control systems
Debugging and troubleshooting complex systems
Strong problem-solving and analytical skills
Excellent written and verbal communication skills
Demonstrated ability to learn and adapt to new technologies quickly
Basic understanding of software development lifecycle (SDLC)