Applied Scientist, Alexa Connections

Amazon; Vancouver; On-site; CAD 149,000 - 249,000; Full time

Benefits offered by this job

Health insurance

RRSP

DPSP

Paid time off

RSU/Stock options

Job summary

Amazon Development Centre Canada ULC is seeking an Applied Scientist to build the smartest communications agent for Alexa connections. You’ll research, develop, and ship ML/AI solutions across calls, text, email, and other surfaces, focusing on intent, context, and relationships to help customers connect effortlessly.

You’ll join a growing Alexa Connections science team, collaborating with experienced scientists and engineers, getting mentorship, and owning meaningful problems as you grow in

Qualifications

• 3+ years of building machine learning models or developing algorithms for business application experience.
• PhD, or Master’s degree and 2+ years of CS, CE, ML or related field experience.
• Hands‑on experience building agentic frameworks using modern LLMs.
• Hands‑on experience building RAG pipelines and personalization techniques for LLM‑based systems.

Responsibilities

• Research, develop, and ship ML and AI solutions across the communication experience.
• Reason over conversational context, intent and needs with large language models.
• Orchestrate multi-agent workflows to meet customer needs and automate responses.

Skills

ML model development

Agentic framework development

RAG pipelines

LLM personalization

Education

PhD in computer science or related field

Master’s with 2+ years CS/CE/ML

Tools

C/C++

Python

Java

Perl

Job description

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 ship ML and AI solutions across the communication experience, reasoning over conversational context, intent and needs, and orchestrating large language models and agentic workflows that anticipate how, when, and with whom customers want to connect, and then get it done on their behalf. Whether it’s surfacing the right message at the right moment, drafting a reply that sounds like the customer, remembering who matters most to them, or seamlessly carrying a conversation across calls, text, and email, you’ll tackle ambiguous, open-ended problems at the intersection of applied science and real-world communication, turning advanced research into features that keep people effortlessly connected to the ones they care about.

About The Team

We’re building up the Alexa Connections science team, so you’ll join early and grow alongside it. You’ll work closely with experienced scientists and engineers invested in your development, with plenty of mentorship, room to broaden your skills, and the chance to own meaningful problems as you grow. It’s a supportive place to do impactful work early in your career, shaping how millions of customers connect every day.

Basic Qualifications

• 3+ years of building machine learning models or developing algorithms for business application experience
• PhD, or Master’s degree and 2+ years of CS, CE, ML or related field experience
• Hands‑on experience building agentic frameworks (e.g., tool‑calling, function orchestration, memory, and multi‑agent coordination) using modern LLMs
• Hands‑on experience building RAG pipelines (embeddings, vector retrieval, context grounding) and personalization techniques for LLM‑based systems

Preferred Qualifications

• PhD in computer science, machine learning, engineering, or related fields
• Experience in state‑of‑the‑art deep learning model architecture design and deep learning training and optimization and model pruning
• Knowledge of standard speech and machine learning techniques
• Knowledge of programming languages such as C/C++, Python, Java or Perl

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.

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

Company - Amazon Development Centre Canada ULC