Applied Scientist, ITA-Global Hiring Science

Amazon Inc.

Seattle (WA)

On-site

USD 140,000 - 210,000

Full time

13 hours ago
Be an early applicant

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Benefits offered by this job

Health insurance
RRSP
Paid time off

Job summary

Amazon in Seattle is seeking an AI/ML engineer to design and deploy advanced hiring models using LLMs and GenAI. You will collaborate with scientists and software engineers to integrate AI-driven products into the recruitment workflow, stay ahead of AI research, and extract insights from diverse data sources.

The role emphasizes deep technical delivery, cross-team coordination, and publishing collaborations with academic institutions. Equal opportunity employer with strong benefits.

Qualifications

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

Responsibilities

  • Design and implement advanced AI models using the latest LLM and GenAI technologies.
  • Present work clearly and respond effectively to feedback.
  • Collaborate with cross-functional teams to integrate AI-driven products into Amazon's hiring process.
  • Stay at the advance of AI research and implement new NLP techniques for hiring insights.

Skills

Java programming
C++ programming
Python programming
Algorithms & data structures

Education

Master's degree in computer science/engineering or related field
Bachelor's degree in CS/CE or related field

Tools

Unix/Linux

Job description

Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more, all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise. Last year we delivered over 6 million online candidate assessments, and helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity, at the right location and at exactly the right time. You'll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems.

Global Hiring Science owns and develops products and services using Artificial Intelligence and Machine Learning (ML) that enhance recruitment. We collaborate with scientists to build and maintain machine learning solutions for hiring, offering opportunities to both apply and develop ML engineering skills in a production environment.

Key job responsibilities
  • Design and implement advanced AI models using the latest LLM and GenAI technologies to develop fair and accurate machine learning models for hiring.
  • Clearly and cogently present your work and ideas, and respond effectively to feedback.
  • Collaborate with cross-functional teams with Research Scientists and Software Engineers to integrate AI-driven products into Amazon's hiring process.
  • Stay at the advance of AI research, continuously exploring and implementing new techniques in NLP, LLMs, and GenAI to drive innovation in hiring.
  • Implement advanced natural language processing models to extract insights from diverse data sources.
  • Ensure effective teamwork, communication, collaboration, and commitment across multiple teams with competing priorities.
  • Contribute to the scientific community through publications, presentations, and collaborations with academic institutions.
Basic Qualifications
  • 3+ years of building models for business application 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
  • Master's degree in computer science, computer engineering, or related field

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. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Machine Learning Scientist - GenAI, KIT
Machine Learning Scientist - GenAI, KIT

Amazon Inc. • Bellevue (WA)

On-site
USD 143,000 - 193,000
Health insurance (medical, dental, vis
401(k) matching
Paid time off
+4
Applied Scientist
Applied Scientist

Amazon Science • Bellevue (WA)

On-site
USD 143,000 - 193,000
Health insurance (medical, dental, and
401(k) matching
Paid time off
+2
Applied Science Manager, Healthcare AI (AWS)
Applied Science Manager, Healthcare AI (AWS)

Amazon Inc. • Seattle (WA)

On-site
USD 184,000 - 249,000
Applied Scientist
Applied Scientist

Amazon Web Services (AWS) • Bellevue (WA)

On-site
USD 143,000 - 193,000
Health insurance
401(k) matching
Paid time off
+1
Principal Applied Scientist, AAIS
Principal Applied Scientist, AAIS

Amazon Inc. • Seattle (WA)

On-site
USD 199,000 - 269,000
Health insurance
RSUs and comprehensive benefits
401(k) matching
Sr. Applied Scientist
Sr. Applied Scientist

Amazon Inc. • Seattle (WA)

Hybrid
USD 167,000 - 226,000
Health insurance
401(k) matching
Paid time off
+1
Machine Learning Scientist - GenAI, KIT
Machine Learning Scientist - GenAI, KIT

Amazon Inc. • Seattle (WA)

On-site
USD 143,000 - 193,000
Health insurance
401(k) matching
Paid time off
+1
Head of Applied Science - AI for Scalable Sales
Head of Applied Science - AI for Scalable Sales

Amazon Inc. • Seattle (WA)

Hybrid
USD 184,000 - 249,000
GenAI ML Scientist — Cloud AI Innovator
GenAI ML Scientist — Cloud AI Innovator

Amazon Inc. • Seattle (WA)

Hybrid
USD 143,000 - 193,000
Health insurance
401(k) matching
Paid time off
+1
Sr. Applied Scientist, Workforce Solutions
Sr. Applied Scientist, Workforce Solutions

Amazon • Seattle (WA)

On-site
USD 150,400 - 260,000
Equity options
Comprehensive medical benefits
Employee discounts