We are seeking an experienced and curious software development engineer to join our Alexa Analytics organization.
As our SDE superstar, you'll have the power to lead the charge in developing scalable and efficient data models and analytics applications built to accelerate delivery of Alexa features. You will contribute to designing net new analytics software products and services as well as scaling, improving, and maintaining mature products and services.
As a bonus - and critical need to our org - you will also learn and contribute to machine learning engineering (MLE) stories on our ML model-hosting platform and inference infra.
If you're passionate about pushing the limits of AI, thrive in a fast-paced and innovative environment, have high Ops standards, and are ready to make a lasting impact on Alexa customers, this is your chance!
Key job responsibilities
- Learn and support existing Gale (Alexa Analytics) software products, including: on-call rotations and runbooks, reducing tech debt, designing new services and products, grooming epics to actionable stories, coordinating requirements and code with customers and stakeholders.
- Responsible for the development and maintenance of key platforms needed for developing, evaluating and deploying LLM for real-world applications.
- Ability to quickly learn technologies and algorithms in the field of Generative AI to participate in our journey to build the best predictive CX metric (ML) models.
- Work with other team members (other SDEs, DEs, applied/research/data scientists, linguists, product leads) to investigate design approaches, prototype new technology and evaluate technical feasibility.
- Hold and raise the bar for operational readiness, operational excellence and runbook documentation.
- Ability to be curious and pivot your perspective.
- Work closely with Applied scientists to process massive data (e.g., 20B parameter), scale machine learning models while optimizing.
- Ability to work hard, have fun, and make history!
A day in the life
- Inform and guide analytics platform roadmap (spanning back-end data models and pipelines to mid-tier services and front-end applications).
- 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
- Learn existing Gale (Alexa Analytics) packages and software, contributing to design and improvements (enhancements) for customers
- Contribute to predictive metrics roadmap based on learnings, opportunities, and efficiencies in hardware and infrastructure.
- Design, document, and build novel inference infrastructure and/or modeling techniques using hardware like AWS Inferentia2 (and/or others).
- Be the eyes and ears and caring of your customers, but internally on our team/org. You will constantly look around corners for ways to improve predictive metrics and infra for our customers.
About the team
We are a cross-functional org comprised of product managers, data engineers, business intelligence engineers, software development engineers, and science-focused teams with applied scientists, research scientists, and machine learning engineers. We are passionate about building and improving our analytics platform, which enables Alexa developers and leaders to make informed business and CX decisions reliably and quickly. Our products are full stack, spanning big data foundations (data warehouse, data lake, ETLs), mid-tier services, and front-end user-friendly analytics applications. We also own a ML model hosting platform, which Alexa science teams rely on for accurate and timely predictive metric model inferences. We are deeply rooted in big data, responsible (privacy, secure) data, performant services, and user-friendly analytics applications.
