Jobs in Canada

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Added 18 mins 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 18 mins 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 18 mins ago
SM
RQ11513 – Applications Architect – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 18 mins ago
SM
RQ11513 – Applications Architect – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 39 mins ago
G
Director, Content Management Team Lead
GSK
Mississauga, ON
- Full-time
…and have the highest probability of success. We’re uniting science, technology, and talent to get ahead of disease…
Added 39 mins ago
G
Director, Content Specialist Team Lead
GSK
Mississauga, ON
- Full-time
…and have the highest probability of success. We’re uniting science, technology, and talent to get ahead of disease…
Added 48 mins ago
IB
Clinical Research Associate II (Cell Therapy)
Immix Biopharma (Nasdaq: IMMX)
Toronto, ON · Greater Toronto and Hamilton Area, ON
- Full-time
…recruitment and enrollment, CRF completion and submission, source data verification, data collection, and data query generation and…
Added 1 hour ago
MD
Foodborne Diseases Student Worker-Student Worker Para Prof Sr
Minnesota Direct Care and Treatment
Saint-Paul, NB · St.-Paul, NB
- Part-time
Work Shift/Work Hours: Day Shift
Added 2 hours ago
M
Senior Advisor, Ridership Forecasting and Analysis
MX
ON
- Full-time
Completion of a degree in transportation engineering, civil engineering, planning, geography, mathematics, data science, economics, or a related discipline, or an equivalent combination of…
Added 2 hours ago
A
Director, Medical Affairs, Canada
ALK
Mississauga, ON
- Full-time
…integrity. You will lead and develop a high-performing Medical Science Liaison (MSL) team, foster meaningful engagement with healthcare professionals and key opinion leaders, and serve as a…
Added 3 hours ago
MC
Network Management System Developer (35520)
Myticas Consulting
Ottawa, ON
- Full-time
We are seeking an experienced Network Management System (NMS) Developer to lead the design, development, and evolution of next-generation network management solutions for a cutting-edge…
Added 3 hours ago
MC
Senior Manager, Data Governance (36122)
Myticas Consulting
Toronto, ON
- Full-time
Must Have Experience
Added 3 hours ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
…API and backend testing, Kafka/event-driven testing, ETL and data pipeline validation, database testing, and end-to-end integration…
Added 3 hours ago
MC
Principal Embedded Software Firmware Engineer (35837)
Myticas Consulting
Ottawa, ON
- Contract
Partner with hardware, architecture, and manufacturing teams to align schematics and data sheets, analyze scope traces and logic-analyzer results, and validate architecture assumptions on…
Added 3 hours ago
MC
Data Architect and Information Management Specialist (36191)
Myticas Consulting
Ottawa, ON
- Full-time
University degree in Computer Science, Data Science, Data Engineering, Information Systems, or a related discipline,
Added 3 hours ago
MC
SysOps Software Architect (36136)
Myticas Consulting
Ottawa, ON
- Full-time
Ottawa, Ontario; minimum four days per week on-site
Added 3 hours ago
MC
Coherent Optical Systems Engineer (35886)
Myticas Consulting
Ottawa, ON · Kanata, ON
- Full-time
Develop automated test, measurement, and data-acquisition processes.
Added 4 hours ago
A
Electrical Designer
Actalent
Mississauga, ON
- $55 to $65 CAD / hour
- Contract
Support electrical material take-offs (MTOs) and quantity estimates using 3D models, drawings, and project data.
Added 4 hours ago
A
Electrical Engineer
Actalent
Mississauga, ON
- $55 to $79 CAD / hour
- Contract
Review vendor drawings, data sheets, and technical documentation to confirm compliance with project specifications, applicable codes, and engineering requirements.
Added 4 hours ago
TH
Concepteur Web
The Home Depot Canada
Toronto, ON
- Full-time
Techno-Functional Leadership: Lead collaboration across data engineering, data science, analytics, product, platform, operations, security, and business teams to translate business…
Added 4 hours ago
TH
ARCHITECT TECHNOLOGY, DATA
The Home Depot Canada
Toronto, ON
- Full-time
Techno-Functional Leadership: Lead collaboration across data engineering, data science, analytics, product, platform, operations, security, and business teams to translate business…
Added 5 hours ago
EC
Senior Product Manager, Ad Ranking
eBay Canada
Toronto, ON
- Full-time
- Hybrid
You will lead the execution of your roadmap by working with data science, engineering, and analytics teams
Added 5 hours ago
HD
ARCHITECT TECHNOLOGY, DATA
HOME DEPOT CANADA, INC.
Canada
- Full-time
Techno-Functional Leadership: Lead collaboration across data engineering, data science, analytics, product, platform, operations, security, and business teams to translate business…
Added 6 hours ago
A
Product Specialist
ABB
Montreal, QC
- Full-time
The work model is hybrid with minimum 3 days per week at the office
Added 7 hours ago
ZL
Associate
Zentek Ltd.
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Comfort with technical information and data, with the ability to learn new concepts in materials science, engineering, or related fields.

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