Jobs in Canada

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Added 7 mins ago
BC
HR Generalist (Recruitment & Labour Relations)
Brant Community Healthcare System
Brantford, ON
- Full-time
…we serve with purpose, passion, and a deep commitment to the people who rely on…
Added 1 hour ago
H
Senior People Partner
Haystack
Canada
- Full-time
5+ years of experience in People or HR roles, with at least 5 years specifically as a People Partner or HR Business Partner.
Added 1 hour ago
SM
RQ11821 – Change Management Consultant – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 1 hour ago
SM
RQ11821 – Change Management Consultant – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 1 hour ago
SM
RQ00838 – Solution Architect – CRM – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Hours: 7.25 hours per day, 5 days per week
Added 1 hour ago
SM
RQ00838 – Solution Architect – CRM – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Hours: 7.25 hours per day, 5 days per week
Added 3 hours ago
TN
Operations & Executive Coordinator
The New Industrial Corporation
Vancouver, BC
- Full-time
…running smoothly. The role blends finance administration, HR and people operations, executive support and event planning for a fast-growing team across Vancouver and New…
Added 3 hours ago
C
Director, Operations
Clarity
Vancouver, BC
- $180,000 to $300,000 CAD / year
- Full-time
…the processes, tools, and operating practices that help the business run effectively as it grows. This includes identifying bottlenecks and opportunities for automation, establishing useful…
Added 5 hours ago
AC
Human Resources Business Partner
Aston Carter
Waterloo, ON
- $75,000 to $98,000 CAD / year
- Full-time
The Human Resources Business Partner plays a key role in managing Canadian-wide HR operations while serving as a strategic partner to operations teams in a manufacturing and technical…
Added 5 hours ago
EC
Senior Product Manager, Ad Relevance
eBay Canada
Toronto, ON
- Full-time
- Hybrid
Partner closely with commercial and finance teams to align technical roadmaps with overarching business strategy
Added 6 hours ago
GC
Gestionnaire des finances / Finance Manager
Game Companies
Montreal, QC
- Full-time
Added 6 hours ago
IE
Sr. Specialist, Procurement Project Management
IMAX Enhanced | Streaming & Consumer Technology
Mississauga, ON
- Full-time
Our people make everything we do possible. We’re curious, creative, and driven by the belief that great work happens when people are trusted, heard, and supported. At IMAX, you’ll…
Added 6 hours ago
IE
Sr. Manager, Tax Audit & Risk
IMAX Enhanced | Streaming & Consumer Technology
Mississauga, ON
- Full-time
Partner with Finance, Accounting, Legal, and other business teams to evaluate transactions, identify tax implications, and address potential risks
Added 7 hours ago
CA
Graphic Designer & Digital Coordinator
Crown Auto Group
Winnipeg, MB
- Full-time
- On-site
…and supporting day-to-day marketing initiatives across our…
Added 8 hours ago
PS
Human Resources Coordinator
Polaryn Solutions Inc.
Dartmouth, NS
- Full-time
Reporting to the Human Resources Business Partner (HRBP), the Human Resources Coordinator provides administrative and operational support across the employee lifecycle. The HR Coordinator…
Added 8 hours ago
AM
Funeral Director Assistant
Arbor Memorial Inc
Newmarket, ON
- Part-time
…focus on caring for others, on empathy, and on celebrating people in personalized ways. You’ll have our support as you serve families based on what matters most, every single day. You’ll…
Added 8 hours ago
Vice President, Flight Operations
Flair Airlines Ltd.
Toronto, ON
…and capabilities are aligned with regulatory requirements, business objectives, and long-term growth…
Added 9 hours ago
Intake Coordinator
VPI INC.
Richmond Hill, ON
…inclusive groups, Youth at with Higher Support Needs, Indigenous, People with Disabilities, Newcomers to Canada, and racialized…
Added 9 hours ago
Intake Coordinator
VPI INC.
ON
…inclusive groups, Youth at with Higher Support Needs, Indigenous, People with Disabilities, Newcomers to Canada, and racialized…
Added 9 hours ago
YR
Quality Assurance Student
YORK REGION CHILDREN'S AID SOCIETY
Newmarket, ON
- Internship
…and neglect. As a leader within the child welfare sector, we partner with parents, caregivers, and community to provide a safe environment for children and youth, through equitable,…
Added 9 hours ago
Supporter Engagement Specialist
Canadian Cancer Society
Ottawa, ON · Toronto, ON
Prospects, cultivates, solicits, secures, manages, and stewards a prescribed level of new and existing partner and donor accounts independently to meet direct revenue goals for the…
Added 9 hours ago
MB
Creative Director, MBIB
Mary Browns
Markham, ON
- Full-time
Lead creative direction and execution across all brands within the MBI Brands portfolio, ensuring consistency and alignment with brand standards and business objectives.
Added 9 hours ago
MB
Manager, Digital App & Loyalty
Mary Browns
Markham, ON
- Full-time
Partner with internal stakeholders to evolve and optimize the loyalty value proposition over time
Added 9 hours ago
MB
Business Systems Specialist
Mary Browns
Markham, ON
- Full-time
The Business Systems Specialist is responsible for overseeing the integrity, accuracy, and consistency of restaurant-related I.T. systems across the restaurant brand. This role focuses on…
Added 9 hours ago
Marketing Events Manager
Nature Fresh Farms
Leamington, ON
Imagine breaking from tradition to ensure a brighter future for generations to come. At Nature Fresh Farms®, we’re committed to nourishing people and the planet through greenhouse farming.

Amazon

Applied Scientist II, Alexa Daily Essentials Science and Analytics

Vancouver, BC, Canada

Full-time

Apply on amazon.jobs About employer

Application link verified · Nov 14, 2026. Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Sep 18, 2026

Original job description

Description

On the Alexa Daily Essentials Science and Analytics team, we build intelligence systems that power AI-driven experiences for customer-facing features used by hundreds of millions of people daily. Our team applies foundation models in novel ways - designing agentic systems that reason, plan, and act autonomously over complex data, and rigorously evaluating their performance so that every architecture decision is grounded in measured quality. We're not actively training foundation models. We're pushing the frontier of how they're applied - through agentic architectures, reinforcement learning, retrieval-augmented generation, and evaluation science.

As an Applied Scientist II, you will design agentic AI systems that autonomously detect, diagnose, and act on signals across Alexa's product surface. You'll build the evaluation science that validates these systems, prototype novel AI-powered features that create new value for customers, and apply reinforcement learning to improve agent behavior through outcome signals. You'll own science end-to-end - from rapid prototyping through production deployment - working directly with engineers and product leaders to ship systems that impact how millions of customers interact with Alexa daily. This is a role for a scientist who brings rigor to evaluation, creativity to invention, and pragmatism to delivery.

Key job responsibilities

Design and implement agentic AI systems - multi-step reasoning, tool use, planning, and orchestration - that autonomously surface intelligence and take action over complex, evolving data
Apply reinforcement learning techniques to improve agent routing, decision-making, and task resolution quality from outcome signals
Build evaluation and benchmarking frameworks - automated test suites, LLM-as-judge pipelines, competitive benchmarks, and regression detection across model versions and prompt strategies
Prototype and develop novel AI-powered features - information extraction, proactive recommendations, multi-agent collaboration - from concept through production launch
Build RAG pipelines and knowledge retrieval systems that ground agent reasoning in trusted data
Design and execute experiments end-to-end - hypothesis generation, causal analysis, and results interpretation that directly shape product roadmaps
Communicate findings to technical and non-technical audiences - influencing architecture decisions, model selection, and product strategy through rigorous evaluation

A day in the life

You might start by analyzing reward signal distributions from your latest RL experiment on agent routing - identifying where the policy improved and where exploration is still needed. Mid-morning, you prototype a new cross-feature experience, testing whether extraction models can reliably surface actionable items from customer content. After lunch, you run your eval suite against a new model version - comparing benchmark scores across reasoning depth, tool-use reliability, and output consistency to inform an architecture decision. Later, you pair with an engineer to add a new capability to an agent's tool registry, then validate it doesn't degrade downstream quality. You end the day designing an A/B test for a proactive feature your team is launching.

About The Team

We're a small, high-ownership team building agentic intelligence systems for Alexa - one of the world's most widely used AI products, reaching hundreds of millions of customers across devices, languages, and contexts. We apply foundation models in novel ways: systems that reason over temporal data, learn from outcomes through reinforcement, autonomously detect regressions, and surface insights that previously required weeks of manual analysis. Our scientists prototype new features, benchmark rigorously, and ship from research through production. If you want to build at the frontier of applied AI - agentic systems, reinforcement learning, evaluation science - with real users and real impact at Alexa scale, this is the team.

Basic Qualifications

3+ years of building machine learning 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 with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications

Preferred Qualifications

Experience in professional software development
Experience creating novel algorithms and advancing the state of the art
Experience designing or working with agentic AI systems (tool-use, multi-step reasoning, RAG, multi-agent orchestration)
Experience building automated evaluation frameworks or LLM-as-judge systems

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

Company - Amazon Development Centre Canada ULC

Job ID: A10553157

Apply on amazon.jobs About employer

More about this job

Responsibilities

Design and implement agentic AI systems that autonomously reason, plan, and act over complex data while applying reinforcement learning to improve agent behavior. Build rigorous evaluation frameworks and benchmarking pipelines to validate system performance and inform architecture decisions from concept to production.

Requirements

Requires 3+ years of machine learning experience and a Master's or PhD in a relevant field. Proficiency in Python, Java, or C++ is essential, along with a strong background in foundation models, reinforcement learning, or NLP.

Skills

Machine learning
Reinforcement learning
Deep learning
Natural language processing
Agentic AI
Python
Java
C++
Retrieval-augmented generation
Evaluation science
Benchmarking
Prototyping
Causal analysis
System architecture
Data analysis

Benefits

Health insurance
Medical
Dental
Vision
Prescription
Basic life & 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
Agentic AI
Foundation models
Reinforcement learning
Retrieval-augmented generation
Evaluation science
Machine learning
Deep learning
Natural language processing
Python
Java
C++
Benchmarking
LLM-as-judge
Causal analysis
Prototyping
System architecture
Data analysis
Product strategy
Multi-agent collaboration
Information extraction
Regression detection
Tool use
Reasoning
Planning
Orchestration
A/B testing
Software development
Algorithm design

Seniority

Mid level

Perks

Generous paid time off
Retirement plan
Performance bonus
Wellness program

Tools

Python
Java
C++

Languages

English

Fields of study

Computer Science
Computer Engineering
Machine Learning

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Work requirements

Jobs in Canada