Overview As a Senior Applied Scientist, you will lead AI-powered brand experiences at Amazon scale, shaping science strategy and delivering production-grade GenAI solutions for Brand Stores. You'll bridge frontier research with real-world impact, guiding cross-functional teams to improve advertiser and shopper experiences. You'll define a long-term science vision and foster experiments that quantify business impact. This role offers ownership over cutting-edge AI innovations that connect brands with millions of shoppers, at scale.
Compensation / Benefits- health insurance (medical, dental, vision)
- 401(k) matching
- paid time off
- parternal leave
- RSUs / equity
- sign-on payments
Responsibilities- Build intelligent Brand Store systems using generative models to boost performance
- Define a multi-year science vision and road-map for applied scientists and engineers
- Architect forward-looking GenAI solutions to capitalize on advances
- Design and run rigorous A/B experiments with deep data analysis
- Translate complex technical ideas into clear narratives for diverse audiences
Key requirements- 3+ years building machine learning models for business applications
- PhD, or Master's degree with 6+ years of applied research experience
- Proficiency in Java, C++, Python or related languages
- Experience developing in the last 3 years or deploying LLMs in production on GPUs/TPU/AI acceleration hardware
- 3+ years of experience in digital advertising technology
- strong communication and storytelling abilities
- cross-functional collaboration
- problem-solving mindset with business acumen
- machine learning model development
- generative model architectures and GenAI
- LLM deployment in production
