Level

Amazon

Applied Scientist, Alexa Shopping

Amazon is hiring an Applied Scientist, Alexa Shopping in Seattle, United States. It pays $136k-$184k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • Level rates this applied scientist role Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include Java, C and Python.
  • Level classifies it as a senior role.
  • Level lists 21,000+ other open roles at Amazon.
  • The role was posted in the last few days.

AI in this role

Develops conversational shopping capabilities using LLMs and machine learning algorithms for Amazon Alexa.

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machine-learningllmsalgorithmsconversational-ai
We’re working to improve shopping on Amazon using the conversational capabilities of LLMs, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You'll be working with talented scientists, engineers, across the breadth of Amazon Shopping and AGI to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!




Basic qualifications

- Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
- Experience programming in Java, C++, Python or related language
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse

Preferred qualifications

- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals

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 base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.



USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually

How we rate this

Applied Scientist, Alexa Shopping at Amazon rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Machine learningLLMsAlgorithmsConversational AIJavaCPythonSQL

Also common in applied scientist jobs at this level

Pay

This job starts at
$136k
Typical applied scientist job
$172k

This posting starts 21% below the typical applied scientist job. See applied scientist jobs

Questions you could be asked

  1. Tell me about a project where machine learning was part of your work. What did you do?
  2. Tell me about a project where llms was part of your work. What did you do?
  3. Tell me about a project where algorithms was part of your work. What did you do?
  4. Tell me about a project where conversational ai was part of your work. What did you do?
  5. Walk me through how you've used Java in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Machine learning, LLMs, Algorithms, Conversational AI, and Java. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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