Amazon Software & Machine Learning Engineer Alexa Analytics 

United States, Massachusetts, Boston 

570891225

As our SDE/MLE superstar, you'll have the power to lead the charge in developing cutting-edge inference and architectures to ensure our scientists can push the boundaries of large model training (esp. experience with breadth/depth of various chips and compute options). Your groundbreaking work will directly impact our customers' lives through life-changing and delightful products and services.Key job responsibilities- Responsible for the development and maintenance of key platforms needed for developing, evaluating and deploying LLM for real-world applications.- Work closely with Applied scientists to process massive data (e.g., 20B parameter), scale machine learning models while optimizing.
- Learn and support existing Gale (Alexa Analytics) software products
- Hold and raise the bar for operational readiness, operational excellence and runbook documentation.
- Ability to be curious and pivot your perspective.
A day in the life
- Design, document, and build novel inference infrastructure and/or modeling techniques using hardware like AWS Inferentia2 (and/or others).
- Inform and guide predictive metrics roadmap based on learnings, opportunities, and efficiencies in hardware and infrastructure.
- Attend daily/weekly/monthly/quarterly scrum activities to ensure technical delivery is on-time, under-budget, and meeting customer requirements.
- Hold and raise a high bar for technical implementation standards -- from code revision submissions/reviews to operational readiness and excellence.
- Support on-call rotations

- 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

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