Applied Scientist,Conversational AI ModEling and Learning Job Toronto area,Ontario Canada,IT/Tech

Applied Scientist, Conversational AI Modeling and Learning

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 Model 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 experience 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 Responsibilities

Leverage your technical expertise and experience to collaborate with other applied scientists and engineers to research and develop novel algorithms and modeling techniques to reduce friction and enable natural and contextual conversations.

Analyze, understand and improve user experiences by leveraging Amazon’s heterogeneous data sources and large‑scale computing resources to accelerate advances in AI.

Work on core LLM technologies, including Prompt Engineering and Optimization, Supervised Fine‑Tuning, Learning from Human Feedback, Evaluation, Self‑Learning, etc. directly impacting customers in the form of novel products and services.

Basic Qualifications

3+ years of building models for business application experience
PhD, or Master’s degree and 4+ years of CS, CE, ML or related field experience
Experience in patents or publications at top‑tier peer‑reviewed conferences or journals
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high‑performance computing

Preferred Qualifications

Experience using Unix/Linux
Experience in professional software development

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit (Use the "Apply for this Job" box below). for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. As a total compensation company, Amazon’s package may include other elements such as sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well‑being.

We thank all applicants for their interest; however, only those interviewed will be advised as to hiring status.

Location:

Toronto, CAN. Salary: – CAD annually.

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Applied Scientist, Conversational AI ModEling and Learning