Applied Scientist II, Benefits Experience & Technology
Apply NowCompany: Amazon
Location: Seattle, WA 98115
Description:
Are you passionate about using AI to transform how people develop their careers? We're seeking an experienced ML/AI scientist to work on innovative talent science products at Career Choice, Amazon's flagship education benefit program.
You'll develop cutting-edge models drawing from algorithmic fairness, NLP, supervised and unsupervised learning, recommendation systems, graph ML, and reinforcement learning. Working with rich datasets spanning employee career trajectories, educational outcomes, and labor market trends, you'll help shape the future of career development at Amazon.
This role offers high visibility to senior Amazon business leaders and involves close collaboration with scientists, engineers, and product teams to bring ML models into production. You'll help solve high-impact problems in People Experience and Technology, with opportunities to patent and publish your contributions.
Key job responsibilities
- Design and implement models and science-based product features
- Develop fair predictive models for career and educational outcomes
- Create project plans and communicate with stakeholders
- Productionize ML models at Amazon scale
- Drive innovation in talent science and career development
About the team
Career Choice Technology team is building AI-powered solutions including:
- Personalized career pathway recommendations
- Skill gap analysis and learning recommendations
- Labor market trend prediction
- Fair ML models for career guidance
- Large-scale recommendation systems
- Graph-based skill networks
- Reinforcement learning for career optimization
- NLP models for educational content understanding
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 in patents or publications at top-tier peer-reviewed conferences or journals
- 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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
You'll develop cutting-edge models drawing from algorithmic fairness, NLP, supervised and unsupervised learning, recommendation systems, graph ML, and reinforcement learning. Working with rich datasets spanning employee career trajectories, educational outcomes, and labor market trends, you'll help shape the future of career development at Amazon.
This role offers high visibility to senior Amazon business leaders and involves close collaboration with scientists, engineers, and product teams to bring ML models into production. You'll help solve high-impact problems in People Experience and Technology, with opportunities to patent and publish your contributions.
Key job responsibilities
- Design and implement models and science-based product features
- Develop fair predictive models for career and educational outcomes
- Create project plans and communicate with stakeholders
- Productionize ML models at Amazon scale
- Drive innovation in talent science and career development
About the team
Career Choice Technology team is building AI-powered solutions including:
- Personalized career pathway recommendations
- Skill gap analysis and learning recommendations
- Labor market trend prediction
- Fair ML models for career guidance
- Large-scale recommendation systems
- Graph-based skill networks
- Reinforcement learning for career optimization
- NLP models for educational content understanding
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 in patents or publications at top-tier peer-reviewed conferences or journals
- 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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.