Director, Applied Science, Alexa for Shopping (Rufus)

What you'll do

• Define and execute the platform’s science strategy and roadmap, including multi-agent systems.
• Lead a multidisciplinary organization of applied scientists, research scientists, and machine learning engineers; mentor senior technical leaders.
• Set scientific practices for experimentation, evaluation, model iteration, and production deployment, and align AI investments with business goals.

What they ask for

• MS in Computer Science, Machine Learning, Statistics, Operations Research, or a related quantitative field.
• 12+ years in applied machine learning and AI.
• 10+ years of people management, including leading leaders managing multiple science and/or engineering teams.
• Demonstrated track record of building and shipping production AI/ML systems at scale with measurable customer impact.

Nice to have

• Ph.D. in Computer Science, Machine Learning, Statistics, Operations Research, or a related quantitative field.
• Expertise in LLMs, post-training techniques, and/or multi-agent systems; experience setting science strategy or relevant publications/thought leadership.

Pay

USD 297,500.00 - 350,000.00 annually base salary; USD 262,500.00 - 350,000.00 annually base salary

Tools

LLMs, SLMs, RL, RLHF, DPO, fine-tuning, distillation

AI focus

Leads development of conversational shopping AI using LLMs, SLMs, reinforcement learning, post-training optimization, specialized models, and multi-agent routing.