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- Tasks: Join our team to enhance customer experience through defect triage and feedback analysis.
- Company: Evi Technologies Limited, part of Amazon, is a leader in AI and customer solutions.
- Benefits: Enjoy a dynamic work environment with opportunities for remote work and professional growth.
- Why this job: Be at the forefront of AI technology, working on impactful projects that shape customer interactions.
- Qualifications: Technical support or project management experience; degree in engineering or linguistics preferred.
- Other info: Ideal candidates will have a passion for data and a background in Machine Learning.
The predicted salary is between 36000 - 60000 £ per year.
Job ID: 3034409 | Evi Technologies Limited
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.
BASIC QUALIFICATIONS
– Technical support experience or project/program management experience.
– Experience troubleshooting and debugging technical systems.
– Bachelor\’s degree in engineering or linguistics or relevant field.
– Experience in cross functional research and data collection, and ability to clearly document and communicate findings.
PREFERRED QUALIFICATIONS
– ML background with a focus on LLMs.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates.
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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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Support Engineer , Alexa employer: Amazon
Contact Detail:
Amazon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Support Engineer , Alexa
✨Tip Number 1
Familiarise yourself with Large Language Models (LLMs) and their applications. Understanding how they work and their impact on customer experience will give you an edge in discussions during the interview.
✨Tip Number 2
Prepare to discuss your experience with defect triage and customer feedback analysis. Be ready to share specific examples of how you've identified issues and implemented solutions in previous roles.
✨Tip Number 3
Showcase your ability to work autonomously and manage multiple projects. Think of instances where you've successfully navigated ambiguity and shifting priorities, as this is crucial for the role.
✨Tip Number 4
Highlight your passion for data and efficiency. Be prepared to discuss how you've used data-driven approaches to improve processes or enhance customer experiences in your past positions.
We think you need these skills to ace Support Engineer , Alexa
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the key responsibilities and qualifications required for the Support Engineer position. Highlight your relevant experience with Large Language Models (LLMs) and technical support.
Tailor Your CV: Customise your CV to reflect the skills and experiences that align with the job requirements. Emphasise your technical support experience, project management skills, and any background in machine learning or linguistics.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and efficiency. Discuss specific examples of how you've successfully managed projects, addressed customer feedback, and contributed to process improvements in previous roles.
Highlight Problem-Solving Skills: In your application, provide examples of how you've tackled ambiguous issues and implemented effective solutions. This will demonstrate your ability to thrive in a fast-paced, dynamic environment, which is crucial for this role.
How to prepare for a job interview at Amazon
✨Showcase Your Technical Skills
Be prepared to discuss your technical support experience and any relevant projects you've managed. Highlight your troubleshooting skills, especially in relation to Large Language Models (LLMs) and machine learning, as this will be crucial for the role.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your ability to handle ambiguity and complex issues. Share examples of how you've successfully navigated challenging situations in the past, focusing on your analytical approach and the solutions you implemented.
✨Emphasise Collaboration and Communication
Since the role involves working with various stakeholders, illustrate your experience in cross-functional collaboration. Be ready to discuss how you document findings and communicate effectively to ensure everyone is aligned on project goals.
✨Prepare for Fast-Paced Scenarios
The environment is dynamic, so be ready to discuss how you manage multiple projects and adapt to changing priorities. Share specific instances where you've successfully juggled tasks while maintaining high standards of quality and efficiency.
