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
