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Added 2 mins ago
Clinical Manager – 37.5 hours/week – Permanent
Peterborough Family Health Team
Peterborough, ON
Full-time
Collaborates with IHP’s to identify potential professional development activities to ensure learning needs are supported and are working to their full scope of practice.
Added 2 mins ago
Account specialist, High Value at Risk (HVAR)
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Part-time
Contacts the customer to obtain the necessary information to manage their application (as required) ensuring the customer is aware at all times of the status/result of the present and…
Added 2 mins ago
Superintendent
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Full-time
Assist in the implementation of training programs and the development of site personnel
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Inside Sales Representive
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Full-time
Opportunity to gain experience: We encourage career opportunities and continuing education for the professional development of our employees.
Added 2 mins ago
Recruiter- 12 Month Contract,
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Senior Consultant - CRM Financial Services
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As a Growth Platform Demand-Generation Marketing Manager , you will lead the development and execution of growth marketing, demand generation, and growth activation strategies across…
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Full-time
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Consultant - CRM Financial Services
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Full-time
…as "Deloitte Days", dedicated days of for learning (known as Development and Innovation Days), flexible work arrangements and a hybrid work…
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Patient Care Aide, Families in Recovery (FIR) - BC Women’s Hospital and Health Centre
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Full-time
…cultural immersion experiences, and continuous professional development to stay informed and responsive to equity-deserving groups. Provide patient-centred care that respects Indigenous…
Added 2 mins ago
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Added 2 mins ago
Business Development Manager
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Surrey, BC
$75,000 to $85,000 CAD / year
Full-time
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Added 2 mins ago
Manager, Budget & Financial Planning
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Fort Saskatchewan, AB
Full-time
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Montessori Lower Elementary Directress
Montessori Teachers College
Vaughan, ON
Full-time
…young learners. We prioritize holistic education, fostering the development of children's intellectual, emotional, and social…
Added 2 mins ago
Early Childhood Montessori Directress
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Toronto, ON
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Must have strong knowledge of child development principles and practices.
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Associate Director, IT Risk Analyst
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Aptitude for meeting timelines and budgets, proposal writing, client development and other skills appropriate to consulting.
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Team Lead, Data & Systems
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Calgary, AB
Candidates may submit their application in English or French. To apply in French, please use our French careers site: Careers (French)
Added 2 mins ago
District Sales Manager - Canada
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Remote, Canada
Full-time · Remote
…account management and independent distributor/channel partner development. The successful candidate will be responsible for expanding market share, developing strategic customer…
Added 2 mins ago
Performance Tester
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Remote, Canada
Remote
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Added 16 mins ago
Sport & Exercise Medicine Physician for Move Medicine in Sudbury, Ontario
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Sudbury, ON · Greater Sudbury, ON
Part-time
A supported transition can include mentorship, focused clinical exposure and progressive development of MSK assessment, procedures and point-of-care ultrasound skills based on the…
Added 16 mins ago
Program Lead, Ability Management
First Nations Health Authority
Vancouver, BC · Metro Vancouver A, BC
Full-time
…will promote FNHA’s approach to Health and Wellness with the development, delivery of the (dis)Ability Management Program enabling optimal outcomes in employee wellness through…
Added 16 mins ago
Consultant - CRM Financial Services
Deloitte
Toronto, ON
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Amazon

Applied Scientist, Alexa Connections

Toronto, ON, Canada
Vancouver, BC, Canada

Posting language: English
Posted: Sep 23, 2026

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Original job description

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

Key job responsibilities
You'll 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 about. In 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 customer's relationships and history. You'll 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, you'll 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. Basic Qualifications: - PhD, or Master's 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 Preferred Qualifications: - 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 https://amazon.jobs/content/en/how-we-hire/accommodations 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.

CAN, BC, Vancouver - 149,300.00 - 249,300.00 CAD annually
CAN, ON, Toronto - 149,300.00 - 249,300.00 CAD annually

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More about this job

Responsibilities

You will research, develop, and deploy language intelligence using large language models to power communication features like summarization and smart replies. You will collaborate with engineering and product teams to scale these models while ensuring quality, latency, and customer privacy.

Requirements

Candidates must have a PhD or a Master's degree with at least 4 years of experience in machine learning or algorithm development. Proficiency in Java, C++, or Python and proven experience deploying NLP models in production environments are required.

Skills

Machine learning
Natural language processing
Large language models
Java
C++
Python
Named entity recognition
Entity linking
Intent detection
Retrieval-augmented generation
Conversational AI
Dialogue systems
Coreference resolution
Summarization
Instruction-tuning
In-context learning

Benefits

Health insurance
Medical insurance
Dental insurance
Vision insurance
Prescription insurance
Basic life insurance
AD&D insurance
Deferred Profit Sharing Plan
Paid time off
Restricted stock units

Visa sponsorship

Not detected in the job text

Keywords

Applied Scientist
Alexa
Machine Learning
NLP
Large Language Models
Java
C++
Python
Named Entity Recognition
Entity Linking
Intent Detection
Retrieval-Augmented Generation
Conversational AI
Dialogue Systems
Coreference Resolution
Summarization
Instruction-tuning
In-context Learning
Speech Recognition
Machine Translation
Algorithm Development
Production Deployment
Data Privacy
Multilingual NLP
Context Resolution

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