Amazon
Sr. Applied Science Manager, Perfect Order Experience (POE) AI
$219K–$296K
Seattle, WA · Manager · Full-time · Posted Sep 17, 2025
- Education
- Ph.D. in Computer Science, Machine Learning, or related technical field, or equivalent practical experience.
About the job
Leads a team developing AI and machine-learning systems, including a domain-specific LLM and risk-based product ranking, to protect product quality and improve customer trust.
What you'll do
- Set AI strategy and lead applied scientists developing ML solutions.
- Lead end-to-end development and pre- and post-training of a domain-specific LLM.
- Build automated risk detection and mitigation systems and influence product-visibility ranking models.
What they ask for
- Ph.D. in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience.
- Experience leading and managing scientist/engineer teams delivering ML solutions at scale.
- Track record developing and deploying production ML systems.
- Strong ML/AI publication record or proven industrial innovations, such as patents.
Nice to have
- Experience developing LLMs, including pre-training, fine-tuning, and reinforcement learning.
- Knowledge of search, ranking, or recommendation systems; or multimodal ML combining text, image, and structured data.
Pay
218,800.00 - 295,900.00 USD annually (base salary)
Tools
Large Language Models, LLM, ML, AI
AI focus
Develop a domain-specific LLM using pre-training, fine-tuning, and reinforcement learning; build multimodal risk detection and treatment systems; and develop or influence ranking models that adjust product visibility based on risk and trust signals.
Model-written summary · the original posting is authoritative