Applied Scientist, Amazon Shopping Personalization

Amazon

Seattle (WA)

On-site

USD 172,400 - 223,400

Full time

14 days+

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Benefits offered by this job

Health, dental, vision, prescription insurance
401(k) matching
Paid time off
Parental leave

Job summary

Amazon is seeking an Applied Scientist in Seattle to develop AI technologies for personalization. You will collaborate with teams to build and optimize models that improve the shopping experience for millions of customers.

Applicants should have a PhD or relevant master's degree along with experience in machine learning, programming, and algorithms. The compensation range is $172,400 to $223,400 annually, with comprehensive benefits.

Qualifications

  • 3+ years of building models for business applications.
  • Experience programming in Java, C++, Python or related language.
  • Experience in algorithms and data structures, data mining, and high-performance computing.

Responsibilities

  • Develop AI solutions for recommendation systems using deep learning.
  • Run models directly on the retail website to optimize the shopping experience.
  • Design and conduct experiments to evaluate proposed solutions.

Skills

Model building for business applications
Machine Learning
Programming in Java, C++, Python
Algorithms and data structures
Data mining

Education

PhD in Computer Science, Computer Engineering, Machine Learning or related field
Master’s degree with 4+ years of experience

Tools

Unix/Linux

Job description

Job ID: 10442974 | Amazon.com Services LLC

Are you a scientist interested in pushing the state of the art in machine learning and recommendation systems? Are you interested in working on novel ideas that can positively impact millions of customers? Do you wish you had access to large datasets and tremendous computational resources? Answer yes to any of these questions and you will be a great fit for our team at Amazon.

As an Applied Scientist in our team, you will be responsible for the research, design, and development of new AI technologies for Personalization. You will adopt or invent new machine learning and analytical techniques in the realm of recommendations and large language models. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include inventing, experimenting with, and launching new features, products and systems.

Key job responsibilities
  • Using Amazon’s large-scale computing resources, you will ask research questions about customer behavior, build state-of-the-art models to optimize the shopping experience, and run these models directly on the retail website.
  • Develop AI solutions for Recommendation systems using Deep learning, LLMs, Reinforcement Learning, distillation, and Optimization methods.
  • Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end.
  • Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses.
  • Effectively communicate technical and non-technical ideas with teammates and stakeholders.
  • Stay up-to-date with advancements and the latest modeling techniques in the field.
  • Publish your research findings in top conferences and journals.

About the team: Our team is part of Amazon’s Personalization organization, a high-performing group that leverages Amazon’s expertise in machine learning, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers. We run global experiments and our work has revolutionized e-commerce with features such as “Keep shopping for …”, “Customers who bought this item also bought”, and “Frequently bought together”.

Basic Qualifications
  • 3+ years of building models for business application experience
  • PhD, or Master’s degree and 4+ years of CS, CE, ML or related field experience
  • Experience programming in Java, C++, Python or related language
  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred Qualifications
  • Experience using Unix/Linux
  • Experience in professional software development

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 172,400.00 - 223,400.00 USD annually. This includes 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, dental, vision, prescription, life & AD&D insurance, optional supplemental life plans, Employee Assistance Program, mental health support, medical advice line, flexible spending accounts, adoption and surrogacy reimbursement coverage, 401(k) matching, paid time off, and parental leave.

Location: USA, NY, New York.

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