Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising solutions that drive product discovery and sales. We deliver billions of ad impressions every single day on behalf of our advertisers. You'll work with us to help our Advertising teams make sense of the torrent of data produced by the advertising lifecycle.
We are using cutting edge generative AI to help teams generate insights faster based on our massive data lake. You will need to invent new techniques for metrics retrieval and SQL generation to ensure we're retrieving accurate and trusted data. You'll create feedback loops to ensure our solution is constantly evaluating itself and improving.
Role Overview:
We are looking for an exceptional Sr Software Developer to join our team building SpektrBot, a conversational AI assistant that helps data engineers and analysts with their workflows. You will work closely with engineers and product managers to design, implement, and optimize natural language processing models like intent classification, named entity recognition, question answering, etc. that enable our Ads chatbot to understand user requests and have natural conversations.
Key job responsibilities
- Study and understand data engineering and analytics workflows to design the right conversational experiences
- Research, design, and develop NLP/NLU models for intent classification, entity extraction, sentiment analysis etc.
- Continuously improve models through techniques like active learning, transfer learning etc.
- Optimize models for metrics like precision, recall, latency, interpretability etc.
- Implement models within overall bot architecture and integrate with backend systems
- Collaborate with engineers to productionize and monitor models
- Stay up-to-date on latest advancements in conversational AI research, specifically in LLMs (multi-agent, chain of thought, autonomous agents)
- Be familiar with optimizing retrievers in RAG architectures.
- Bonus points ML Ops and ML UX
A day in the life
You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.
About the team
We have a small scrappy team carved out from a large Ads wide data lake team. We are swimming in petabytes of data that we help the organization make sense of. Our team's mission is to help anyone in the Ads org find the data they need using only natural language. We are a supportive and collaborative team who iterates quickly and shares in each others' successes.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA
We are using cutting edge generative AI to help teams generate insights faster based on our massive data lake. You will need to invent new techniques for metrics retrieval and SQL generation to ensure we're retrieving accurate and trusted data. You'll create feedback loops to ensure our solution is constantly evaluating itself and improving.
Role Overview:
We are looking for an exceptional Sr Software Developer to join our team building SpektrBot, a conversational AI assistant that helps data engineers and analysts with their workflows. You will work closely with engineers and product managers to design, implement, and optimize natural language processing models like intent classification, named entity recognition, question answering, etc. that enable our Ads chatbot to understand user requests and have natural conversations.
Key job responsibilities
- Study and understand data engineering and analytics workflows to design the right conversational experiences
- Research, design, and develop NLP/NLU models for intent classification, entity extraction, sentiment analysis etc.
- Continuously improve models through techniques like active learning, transfer learning etc.
- Optimize models for metrics like precision, recall, latency, interpretability etc.
- Implement models within overall bot architecture and integrate with backend systems
- Collaborate with engineers to productionize and monitor models
- Stay up-to-date on latest advancements in conversational AI research, specifically in LLMs (multi-agent, chain of thought, autonomous agents)
- Be familiar with optimizing retrievers in RAG architectures.
- Bonus points ML Ops and ML UX
A day in the life
You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.
About the team
We have a small scrappy team carved out from a large Ads wide data lake team. We are swimming in petabytes of data that we help the organization make sense of. Our team's mission is to help anyone in the Ads org find the data they need using only natural language. We are a supportive and collaborative team who iterates quickly and shares in each others' successes.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA