Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
USA, MA, Boston - 74,700.00 - 130,700.00 USD annually
Additional Information
Amazon is seeking a Support Engineer to join our Amazon Alexa data team. This role focuses on Large Language Model (LLM) and identifying improvements to the customer experience, primarily in the area of defects and feedback triage.
A successful candidate will have strong machine learning background and hands-on-experience with LLM . The ideal candidate would also have hands-on experiences in building Generative AI solutions with LLMs, enjoy operating in dynamic environments, be self-motivated to take on challenging problems to deliver big customer impact, moving fast to ship solutions and then iterating on user feedback and interactions.
The Support Engineer will:
- Build a thorough understanding of system components and behaviors, and mechanisms/methods for addressing improvements
- Identify and escalate system defects, trends, opportunities and to implement improvement to the system
- Collect the appropriate information to satisfy the requirements of each investigation and to create relevant reports and recommendation for solution
- Deliver high quality data output under tight deadlines covering unique data analysis requests from a range of customers
- Dive deep into ambiguous issues and implement solutions
- Contribute to process improvements to reduce handling time, data output, and faster solution for customers
In addition, the Support Engineer will need 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:
Proactive in addressing issues and problems and an ability to work autonomously, with minimal 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 to keeping up with high levels of ambiguity, changing project conventions, and shifting priorities
Amazon.com · Boston, MA