Amazon
Senior Applied Scientist, Kumo
$167K–$226K
Bellevue, WA · Senior · Full-time · Posted Sep 14, 2026
- Experience
- 6+ years of applied research experience with a Master's degree; alternatively, a PhD. Also requires 3+ years of building machine learning models for business application experience.
- Education
- PhD, or Master's degree and 6+ years of applied research experience
About the job
Leads research and development of machine-learning and generative-AI solutions, taking ideas through experimentation and prototypes into production systems for AWS customers.
What you'll do
- Set the science vision and research roadmap, mentor scientists and engineers, and guide technical direction.
- Develop scalable ML solutions, including agentic AI, model fine-tuning, evaluation, continual learning, and recommendations.
- Partner with business and software engineering teams to analyze data and deliver production systems at AWS scale.
What they ask for
- PhD, or Master's degree and 6+ years of applied research experience
- 3+ years of building machine learning models for business application experience
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- Experience with neural deep learning methods and machine learning
Nice to have
- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
Pay
167,100.00 - 226,100.00 USD annually (base salary)
Tools
C/C++, Python, Java, Perl, Natural Language Processing, Deep Learning, Generative Artificial Intelligence
AI focus
Builds agentic AI systems, optimizes cloud architectures and agentic workflows, fine-tunes language models, develops agentic evaluation and continual-learning systems, and creates personalized recommendations.
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