Amazon Machine Learning Engineer AGI Info - Web & Knowledge Services 

United States, California, Sunnyvale 

592413087

You will have track record of success in delivering new products, solving problems, and learning new technologies quickly. A commitment to teamwork, proactive approach to solving problems, and strong verbal and written communication skills are essential. Creating reliable, scalable, and high-performance products requires technical expertise, understanding of computer science fundamentals, and practical experience building efficient large-scale systems. This person is comfortable delivering quality solutions in a fast-growing environment where priorities may change rapidly.
Key job responsibilities- Design and implement high-throughput, cost-effective data pipelines for both structured and semi-structured knowledge sources.
- Develop and optimize state-of-the-art streaming algorithms to process large datasets in real-time, including tasks such as deduplication, topic clustering, and entity resolution.
- Build, extend, and maintain an existing codebase while also designing and developing new software components.
- Serve as technical lead for all stages of the software development cycle, including designing and developing new system architecture and improvements
- Participate in prioritization, estimation, and sprint planning. Work in an Agile/Scrum environment to deliver high quality software against aggressive schedules

- Experience in machine learning, data mining, information retrieval, statistics or natural language processing
- 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

- Experience working with ML frameworks such as Pytorch, TensorRT, Onnx, AWS Neuron and accelerating deep learning models for GPU/CPU/Inferentia architectures.
- 2+ years of relevant work or research experience in system performance analysis, compiler optimizations (CUDA, OpenCL).