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Sr. Applied Scientist, International Emerging Stores Payments

Amazon is hiring a Sr. Applied Scientist, International Emerging Stores Payments in Seattle, United States. It pays $167k-$226k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • On Level's scale, this applied scientist role is Builds AI ●●●●: the job is building AI systems.
  • Pay on this posting starts in line with the typical applied scientist posting on Level.
  • The posting mentions TensorFlow, scikit-learn and Python among its tools and skills.
  • Level classes it as a senior role.
  • Amazon has 20,000+ other open roles on Level.

AI in this role

Build machine learning models and apply LLM techniques to improve international payments customer experience.

TensorFlowscikit-learnPythonJavaCSparkPyTorch
machine-learningdeep-learningllmsgenerative-aiapplied-research
Embark on an exciting science journey with International Emerging Stores Payments as we apply LLM techniques to improve the customer experience across multiple countries where we operate in. You will impact 1/4 of the world's population.

Key job responsibilities
1. Translate ambiguous opportunities in to defined science problem statements
2. Evaluate and identify the right ML algorithm to solve for the problems.
3. Identify and build the right features for the Models
4. Partner with IML team in applying GenAI development strategies to accelerate model development
5. Publish papers to internal and external conferences.

Basic qualifications

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

Preferred qualifications

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.

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 - 167,100.00 - 226,100.00 USD annually

How we rate this

Sr. Applied Scientist, International Emerging Stores Payments 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 learningDeep learningLLMsGenerative AIApplied ResearchTensorFlowscikit-learnPython

Also common in applied scientist jobs at this level

Pay

This job starts at
$167k
Typical applied scientist job
$169k

This posting starts close to 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 deep learning was part of your work. What did you do?
  3. Tell me about a project where llms was part of your work. What did you do?
  4. Tell me about a project where generative ai was part of your work. What did you do?
  5. Tell me about a project where applied research was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Machine learning, Deep learning, LLMs, Generative AI, and Applied Research. 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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