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About the role
Senior Applied Science Manager, Applied AI at Amazon.com Services LLC
Required Skills
machine learninggenerative aillmawsbig datateam leadershipproject management
About the Role
Lead a cross-functional team of scientists and engineers to develop LLM-based solutions and scale AI technologies for Amazon's eCommerce business. Drive innovation in ML and Generative AI to impact billions in revenue and enhance customer experience.Key Responsibilities
- Lead a cross-functional team of scientists and engineers
- Develop and maintain systems and tools to accelerate knowledge operations
- Push boundaries of ML and Generative AI techniques for eCommerce scaling
- Collaborate with research teams and manage project execution
- Leverage Amazon's data sources and computing resources for AI advances
Required Skills & Qualifications
Must Have:
- 10+ years of building large-scale machine learning and AI solutions at Internet scale
- Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent)
- Experience distilling informal customer requirements into problem definitions
- Experience hiring and leading experienced scientists and developing junior members
Nice to Have:
- PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent)
- 5+ years of hands-on work in big data, machine learning and predictive modeling
- Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive
Benefits & Perks
- Base pay ranging from $196,900 to $340,300/year depending on geographic market
- Equity, sign-on payments, and other forms of compensation
- Full range of medical, financial, and/or other benefits
- Inclusive culture with accommodations for disabilities