Amazon
Company
6 months ago
Sr. Applied Scientist, Conversational AI ModEling and Learning
CA, ON, Toronto
Full-time
Job Description
This job posting has expired and no longer accepting applications.
Conversational AI ModEling and Learning (CAMEL) team is part of Amazon Devices organization where our mission is to build a best-in-class Conversational AI that is intuitive, intelligent, and responsive, by developing superior Large Language Models (LLM) solutions and services which increase the capabilities built into the model and which enable utilizing thousands of APIs and external knowledge sources to provide the best experience for each request across millions of customers and endpoints.
We are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also have hands-on experiences in building Generative AI solutions with LLMs, enjoy operating in dynamic environments, be self-motivated to take on challenging problems to deliver big customer impact, moving fast to ship solutions and then iterating on user feedback and interactions.
Key job responsibilities
As a Sr. Applied Scientist, you will leverage your technical expertise and experience to collaborate with other talented applied scientists and engineers to research and develop novel algorithms and modeling techniques to reduce friction and enable natural and contextual conversations. You will analyze, understand and improve user experiences by leveraging Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence. You will work on core LLM technologies, including Prompt Engineering and Optimization, Supervised Fine-Tuning, Learning from Human Feedback, Evaluation, Self-Learning, etc. Your work will directly impact our customers in the form of novel products and services.
We are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also have hands-on experiences in building Generative AI solutions with LLMs, enjoy operating in dynamic environments, be self-motivated to take on challenging problems to deliver big customer impact, moving fast to ship solutions and then iterating on user feedback and interactions.
Key job responsibilities
As a Sr. Applied Scientist, you will leverage your technical expertise and experience to collaborate with other talented applied scientists and engineers to research and develop novel algorithms and modeling techniques to reduce friction and enable natural and contextual conversations. You will analyze, understand and improve user experiences by leveraging Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence. You will work on core LLM technologies, including Prompt Engineering and Optimization, Supervised Fine-Tuning, Learning from Human Feedback, Evaluation, Self-Learning, etc. Your work will directly impact our customers in the form of novel products and services.
Please mention that you found this job on MoAIJobs, this helps us grow. Thank you!
Amazon
541 jobs posted
Similar Jobs
Discover more opportunities that match your interests
1 week ago
Sr. Applied Scientist, Sales AI
Amazon
CA, ON, Toronto
View details
4 weeks ago
Sr. Applied Scientist, Recommendations and Search
Amazon
US, WA, Seattle
View details
4 weeks ago
Applied Scientist, Silicon and Systems Group Edge AI
Amazon
US, CA, Sunnyvale
View details
3 weeks ago
Applied Scientist, Sales AI
Amazon
US, CA, Sunnyvale
View details
5 days ago
Applied Scientist – Embodied AI
Wayve
London
View details
5 days ago
Applied Scientist – Embodied AI
Wayve
Sunnyvale
View details
5 days ago
Applied Scientist – Embodied AI
Wayve
Vancouver
View details
3 days ago
Sr Machine Learning Scientist
Paypal
Bangalore, Karnataka, India
View details
3 weeks ago
Sr. Applied Scientist, Prime Video - Personalization and Discovery Science
Amazon
US, CA, Sunnyvale
View details
3 days ago
Sr. Applied Scientist, Prime Video - Personalization and Discovery Science
Amazon
US, NY, New York
View details
View all ML Engineer jobs
Looking for something different?
Browse all AI jobs