Applied Scientist, Alexa Connections

Alexa Connections is on a mission to become the worlds most trusted communication agent spanning calls text email and the ever-expanding surfaces where people connect. Were building intelligence that keeps customers connected effortlessly while putting their trust and privacy first. As an Applied Scientist youll help build the smartest communications agent for people an agent that understands intent context and relationships and that acts on a customers behalf to make every interaction feel effortless and genuinely helpful


Key job responsibilities
Youll research develop and deploy the language intelligence that powers how people communicate using and adapting large language models to understand intent context and the entities that matter in a conversation the people contacts events dates and topics that tell the agent who and what a message is practice that means reframing classic NLP and named entity recognition as LLM-native tasks through instruction-tuning in-context learning and structured generation and building agentic capabilities that reason over multi-turn conversations and act on them from summarization and smart replies to coreference and context resolution grounded in a customers relationships and history. Youll fine-tune align and optimize foundation models for the messiness of real communication data informal text code-switching misspellings transcribed speech and multilingual content and ground their outputs in customer context using retrieval-augmented generation and personalization so responses stay relevant and reliable. Throughout youll take models from research to production at scale partnering with engineering and product teams to ship LLM-powered features used by millions every day and define the evaluation frameworks that measure quality faithfulness latency and customer impact while keeping trust and privacy first.

- PhD or Masters degree and 4 years of building machine learning models or developing algorithms for business application experience
- 2 years of programming in Java C Python or related language experience
- Experience building and deploying NLP models in production such as named entity recognition entity linking intent detection or language understanding

- PhD in computer science machine learning engineering or related fields
- Knowledge of standard speech and machine learning techniques
- Experience in building speech recognition machine translation and natural language processing systems (e.g. commercial speech products or government speech projects)
- Experience applying large language models to NLP tasks including instruction-tuning in-context learning or retrieval-augmented generation (RAG)
- Experience with conversational AI dialogue systems or communication/messaging applications
- Experience with multilingual NLP coreference resolution summarization or working with noisy real-world text (transcribed speech informal messaging

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. As a total compensation company Amazons 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.

CAN BC Vancouver - 149300.00 - 249300.00 CAD annually
CAN ON Toronto - 149300.00 - 249300.00 CAD annually