Amazon
Applied Science Manager, Alexa for Shopping (Rufus)
$211K–$286K
Palo Alto, CA · Manager · Full-time · Posted Sep 9, 2026
- Experience
- 2+ years of scientists or machine learning engineers management experience; 5+ years building machine learning models or developing algorithms for business application. Preferred: 4+ years of management experience; 7+ years building models or developing algorithms.
- Education
- Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field.
About the job
Manages a team developing and aligning AI models for Alexa for Shopping, setting the science roadmap for new and existing customer experiences.
What you'll do
- Manage a team working on LLM and/or VLM post-training and alignment.
- Set the roadmap and vision for science investments across customer experiences.
- Optimize AI shopping experiences for helpfulness, accuracy, and speed.
What they ask for
- Knowledge of ML, NLP, Information Retrieval, and Analytics.
- Experience building complex software systems, including deep learning, machine learning, and computer vision systems delivered to customers.
- Experience communicating with users, technical teams, and management to gather requirements and describe product features and technical designs.
- Master's degree in a listed quantitative field or equivalent quantitative field.
Nice to have
- PhD in a listed quantitative field or equivalent quantitative field.
- Experience in LLM post-training (SFT and RL).
Pay
USD 211,400.00 - 286,000.00 annually (base salary)
Tools
LLM, VLM, RLHF, DPO, fine-tuning, multi-agent systems, SFT, RL
AI focus
LLM and/or VLM post-training and alignment for shopping experiences, including RLHF, DPO, fine-tuning, and multi-agent systems.
Model-written summary · the original posting is authoritative