drjobs Software Dev Engineer Alexa Analytics

Software Dev Engineer Alexa Analytics

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1 Vacancy
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Job Location drjobs

Boston - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

We are seeking an experienced and curious software development engineer to join our Alexa Analytics organization.

As our SDE superstar youll 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 modelhosting platform and inference infra.

If youre passionate about pushing the limits of AI thrive in a fastpaced 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: oncall 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 realworld 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 backend data models and pipelines to midtier services and frontend applications).
Attend daily/weekly/monthly/quarterly scrum activities to ensure technical delivery is ontime underbudget 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 oncall 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 crossfunctional org comprised of product managers data engineers business intelligence engineers software development engineers and sciencefocused 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) midtier services and frontend userfriendly 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 userfriendly analytics applications.


3 years of noninternship professional software development experience
2 years of noninternship 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
Bachelors degree in computer science or equivalent
Experience in machine learning data mining information retrieval statistics or natural language processing

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Employment Type

Full-Time

Department / Functional Area

Software Development

About Company

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