Amazon
Applied Scientist, Machine Learning Accelerator
$143K–$193K
San Diego, CA · Full-time · Posted Sep 22, 2026
- Experience
- 4+ years with a Master's degree; 3+ years building machine learning models or developing algorithms for business applications.
- Education
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
About the job
Researches and prototypes AI and machine learning solutions for Seller Experience domains, then collaborates on scaling them across Amazon.
What you'll do
- Develop large-scale solutions for high-impact business problems and contribute to technical strategy.
- Create tools and practices that streamline team work; mentor junior team members and participate in hiring.
- Collaborate with engineers and business partners to design and implement solutions at scale.
What they ask for
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
- 3+ years of building machine learning models or developing algorithms for business application experience.
- Experience in patents or publications at top-tier peer-reviewed conferences or journals.
- Programming experience in Java, C++, Python or a related language; experience in a listed algorithms or computing area and ML/LLM fundamentals or production LLM deployment.
Nice to have
- Experience with Unix/Linux.
- Experience with LLM fine-tuning, agentic AI systems, reward models or RL post-training pipelines.
Pay
142,800.00 - 193,200.00 USD annually (base salary)
Tools
Java, C++, Python, Unix/Linux, GPUs, Neuron, TPU, PPO/GRPO
AI focus
Researches and prototypes AI/ML applications, including Agentic AI, LLMs, deep learning, and production-scale solutions for Seller Experience.
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