Sr. Applied Scientist, LLM, Natural Language Shopping, Search Quality
Amazon.com
Come transform Amazon Search using Large Language Models (LLMs). We are building new approaches to bring in a step change to both Amazon Rufus and Amazon Search.
You will innovate with your team to provide delightful answers to customers by incorporating world knowledge in matching and ranking models, and helping the models deeply understand semantic meaning in descriptive and conversational queries such as "light tent for snow camping with my son", “best toys for on the go” or “cheap plus size summer pajamas”.
Key job responsibilities
- You will analyze large scale datasets
- define metrics that reflect customer experience
- invent techniques that improve capabilities such as understanding of natural language queries, questions and conversations
- test your ideas in controlled experiments
- train, fine-tune and align Large Language Models (LLMs).
- distill Large Language Models into Fast Language Models and deploy them to operate at Amazon scale with imperceptible latencies
You will innovate with your team to provide delightful answers to customers by incorporating world knowledge in matching and ranking models, and helping the models deeply understand semantic meaning in descriptive and conversational queries such as "light tent for snow camping with my son", “best toys for on the go” or “cheap plus size summer pajamas”.
Key job responsibilities
- You will analyze large scale datasets
- define metrics that reflect customer experience
- invent techniques that improve capabilities such as understanding of natural language queries, questions and conversations
- test your ideas in controlled experiments
- train, fine-tune and align Large Language Models (LLMs).
- distill Large Language Models into Fast Language Models and deploy them to operate at Amazon scale with imperceptible latencies
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