Software Development Manager, Core Search
Posted Updated
The Search Engine organization designs, builds, and operates highly performant, fault-tolerant and scalable distributed search engine used by millions of Amazon customers worldwide every day.
We are evolving our search engine to better understand natural language queries and to be more personalized. This involves leveraging LLMs and other Deep Learning models in different parts of the search stack to improve the search experience.
Ideal candidates are expected to have an extensive background in distributed systems and experience with machine learning infrastructure. Strong candidates will have knowledge of LLM fundamentals and some experience in GPU programming.
Key job responsibilities
Technical Leadership
- Lead development of LLM/deep-learning relevance and ranking systems serving billions of queries at scale
- Improve search engine efficiency to reduce infrastructure cost
- Drive architecture and design decisions aligned with the search org vision
- Own full development and operations lifecycle of your team’s products
Team & People Management
- Manage engineering team: staffing, day-to-day execution, delivery commitments, and mentoring and career growth
- Report on development progress, quality, operations, and system performance
Strategy & Collaboration
- Define long-term vision and growth plans in partnership with Science and Engineering leaders
- Set development priorities and evangelize the team's work across the org
We are evolving our search engine to better understand natural language queries and to be more personalized. This involves leveraging LLMs and other Deep Learning models in different parts of the search stack to improve the search experience.
Ideal candidates are expected to have an extensive background in distributed systems and experience with machine learning infrastructure. Strong candidates will have knowledge of LLM fundamentals and some experience in GPU programming.
Key job responsibilities
Technical Leadership
- Lead development of LLM/deep-learning relevance and ranking systems serving billions of queries at scale
- Improve search engine efficiency to reduce infrastructure cost
- Drive architecture and design decisions aligned with the search org vision
- Own full development and operations lifecycle of your team’s products
Team & People Management
- Manage engineering team: staffing, day-to-day execution, delivery commitments, and mentoring and career growth
- Report on development progress, quality, operations, and system performance
Strategy & Collaboration
- Define long-term vision and growth plans in partnership with Science and Engineering leaders
- Set development priorities and evangelize the team's work across the org