Support Engineer , Alexa
Boston, Massachusetts, USA
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...
The team, within Alexa-Conv A Modeling&Learning, is seeking an experienced Support Engineer to join our dynamic team. In this role, you will play a critical part in enhancing customer experience through defect triage and customer feedback analysis, primarily focusing on Large Language Models (LLMs).
The Support Engineer will:
* Own and drive complex projects from ideation to delivery, partnering with stakeholders to implement data-driven solutions that meet business objectives.
* Identify and escalate system defects, trends, opportunities and to implement improvement to the system.
* Collect appropriate information to satisfy investigation requirements, creating relevant reports and recommendations for solutions.
* Develop and maintain comprehensive documentation and resources for team processes, best practices, and technical solutions to enable effective knowledge sharing and team growth.
* Dive deep into ambiguous issues and implement effective solutions.
* Contribute to process improvements to reduce handling time, data output, and faster solution for customers.
In addition, the ideal Support Engineer will have a Machine Learning (ML) background and hands-on experience with Large Language Models (LLMs). They should be able to quickly understand changes in response to customers' requests and adjust workflows accordingly. The Support Engineer must have a passion for data, efficiency, and accuracy, as well as:
* Be proactive in addressing issues and problems, with the ability to work autonomously with minimal direction or no direction
* Be comfortable working in a fast-paced, highly collaborative, dynamic work environment.
* Support several projects at one time, and to accept re-prioritization as necessary.
* A history of successfully keeping up with high levels of ambiguity, changing project conventions, and shifting priorities.
* Be comfortable wearing headphones throughout the day for critical and nuanced audio analysis and triage work.
- 2+ years of software development, or 2+ years of technical support experience
- Experience troubleshooting and debugging technical systems
- 2+ years of project/program management experience
- Bachelor's degree in engineering or linguistics or relevant field.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The Support Engineer will:
* Own and drive complex projects from ideation to delivery, partnering with stakeholders to implement data-driven solutions that meet business objectives.
* Identify and escalate system defects, trends, opportunities and to implement improvement to the system.
* Collect appropriate information to satisfy investigation requirements, creating relevant reports and recommendations for solutions.
* Develop and maintain comprehensive documentation and resources for team processes, best practices, and technical solutions to enable effective knowledge sharing and team growth.
* Dive deep into ambiguous issues and implement effective solutions.
* Contribute to process improvements to reduce handling time, data output, and faster solution for customers.
In addition, the ideal Support Engineer will have a Machine Learning (ML) background and hands-on experience with Large Language Models (LLMs). They should be able to quickly understand changes in response to customers' requests and adjust workflows accordingly. The Support Engineer must have a passion for data, efficiency, and accuracy, as well as:
* Be proactive in addressing issues and problems, with the ability to work autonomously with minimal direction or no direction
* Be comfortable working in a fast-paced, highly collaborative, dynamic work environment.
* Support several projects at one time, and to accept re-prioritization as necessary.
* A history of successfully keeping up with high levels of ambiguity, changing project conventions, and shifting priorities.
* Be comfortable wearing headphones throughout the day for critical and nuanced audio analysis and triage work.
Basic Qualifications
- 2+ years of software development, or 2+ years of technical support experience
- Experience troubleshooting and debugging technical systems
- 2+ years of project/program management experience
- Bachelor's degree in engineering or linguistics or relevant field.
Preferred Qualifications
- ML background with a focus on LLMs.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
3
0
0
Category:
Engineering Jobs
Tags: CX Engineering Linguistics LLMs Machine Learning
Perks/benefits: Career development
Region:
North America
Country:
United States
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.
Data Engineer II jobsSr. Data Engineer jobsBI Developer jobsBusiness Intelligence Developer jobsPrincipal Data Engineer jobsStaff Data Scientist jobsStaff Machine Learning Engineer jobsPrincipal Software Engineer jobsJunior Data Analyst jobsData Science Intern jobsDevOps Engineer jobsData Manager jobsSoftware Engineer II jobsData Science Manager jobsStaff Software Engineer jobsData Analyst Intern jobsLead Data Analyst jobsData Specialist jobsBusiness Data Analyst jobsAI/ML Engineer jobsSr. Data Scientist jobsBusiness Intelligence Analyst jobsData Governance Analyst jobsData Engineer III jobsSenior Backend Engineer jobs
Consulting jobsMLOps jobsAirflow jobsOpen Source jobsEconomics jobsLinux jobsKPIs jobsKafka jobsGitHub jobsTerraform jobsJavaScript jobsPostgreSQL jobsRDBMS jobsData Warehousing jobsPrompt engineering jobsNoSQL jobsStreaming jobsClassification jobsComputer Vision jobsBanking jobsRAG jobsScikit-learn jobsPhysics jobsGoogle Cloud jobsHadoop jobs
dbt jobsPandas jobsGPT jobsBigQuery jobsLooker jobsOracle jobsScala jobsR&D jobsData warehouse jobsReact jobsDistributed Systems jobsLangChain jobsScrum jobsPySpark jobsMicroservices jobsCX jobsELT jobsIndustrial jobsOpenAI jobsSAS jobsRedshift jobsJira jobsModel training jobsTypeScript jobsRobotics jobs