Jobs in Canada

25+ jobs

Group jobs by employerEmail me new jobs Save this search

Added 1 min ago
AC
Coordonnateur De Saisie De Données/data Entry Coordinator
Aston Carter
Saint-Eustache, QC
- $25 to $30 CAD / hour
- Contract
Job Title: Data Entry CoordinatorJob DescriptionThe Data Entry Coordinator is responsible for high-volume order entry and administrative support for the Parts department. This entry-level…
Added 1 min ago
ST
Front Store Supervisor, Hourly Full Time Flexible Shifts Greenlight Requisition
SDM Toronto 1027 Yonge ()
Toronto, ON
- Full-time
Trains cashiers/merchandisers in job functions
Added 10 mins ago
C
CNC Machine Operator - Precision Equipment
CyberCoders
Chatham, NB
- $30 to $32 CAD / hour
- Contract
…its growing team in Blenheim, Ontario. This is an excellent opportunity for a machinist who enjoys working with precision equipment in a stable, safety-focused manufacturing…
Added 10 mins ago
RS
Level 3 Rope Access Technicians
Rockwood Service Corporation
Rocky View No 44, AB · Rocky View County, AB
- Full-time
Standard First Aid Certification required
Added 10 mins ago
CW
Account Representative / Account Manager / Project Manager
City Wide Facility Solutions
Burnaby, BC
- $55,000 to $80,000 CAD / year
- Full-time
Must have a proactive approach, be innovative, and strive for continuous process improvement
Added 31 mins ago
CI
Financial Services Representative
Canadian Imperial Bank of Commerce (Canada)
Caledon East, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Added 31 mins ago
CE
Seasonal Part Time Cast Member - Cineplex Odeon Victoria Cinemas
Cineplex Entertainment LP
Victoria, BC
- Part-time
…energetic, fast-paced and social atmosphere, this may be the opportunity for…
Added 1 hour ago
MO
Temporary Part Time Service Team Member
Michaels of Canada, ULC.
Canada
- Part-time
Preferred Type of experience the job requires
Added 1 hour ago
VC
Licensed Practical Nurse (LPN) - Full-time
VON Canada
Halifax, NS
- Full-time
Come for the job, stay for the learning, and the chance to make a difference.
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 1 hour ago
NA
Mental Health Care Coordinator (Internal title: FBH Clinical Care Coordinator) Oak View
NATIONAL ASSOCIATION OF BLACK SOCIAL WORKERS
Vancouver, BC
- Full-time
A full job description with qualifications may be shared with candidates identified for an interview.
Added 1 hour ago
AS
Credit Analyst
AgileGrid Solutions
Canada
- Full-time
SRS Distribution Inc., including its subsidiaries, is committed to equal employment opportunity. Employment decisions are made without discrimination on any ground protected by applicable…
Added 1 hour ago
CH
Administrator, Information Systems
CMH Heli-Skiing & Summer Adventures
AB · Alberta, Canada
- Full-time
The opportunity to build lifelong friendships with staff and guests from around the world.
Added 1 hour ago
MI
CN - Accounts Receivable Collections Specialist (KAR)
MSC Industrial Supply Co.
Mississauga, ON
- Full-time
To perform this job successfully an associate must be able to perform each essential duty satisfactorily. The requirements listed below are representative of knowledge, experience level and…
Added 1 hour ago
W
(CAN) Customer Service Manager
Walmart
Edson, AB
- Full-time
Working as a Customer Service Manager at Walmart Canada is a great opportunity to build strong leadership and operational skills in a fast paced retail environment. In this role, you lead…
Added 1 hour ago
W
(CAN) General Merchandise Associate
Walmart
Windsor, ON
- Part-time
Working as a General Merchandise Associate at Walmart Canada is a great opportunity to build valuable skills in a fast‑paced retail environment. In this role, you deliver excellent customer…
Added 1 hour ago
W
(CAN) OMNI Customer Fulfillment Associate
Walmart
Windsor, ON
- Full-time
Working as an OMNI Customer Fulfillment Associate at Walmart Canada is a great opportunity to build valuable skills in a fast‑paced retail environment. In this role, you pick, pack, and…
Added 2 hours ago
M
Senior Advisor, Ridership Forecasting and Analysis
MX
ON
- Full-time
Added 2 hours ago
WC
(CAN) OMNI Customer Fulfillment Associate
Walmart Canada
Windsor, ON
- Full-time
Position Summary...Working as an OMNI Customer Fulfillment Associate at Walmart Canada is a great opportunity to build valuable skills in a fast‑paced retail environment. In this role, you…
Added 2 hours ago
WC
(CAN) OMNI Customer Fulfillment Associate
Walmart Canada
Parry Sound, ON
- Full-time
Position Summary...Working as an OMNI Customer Fulfillment Associate at Walmart Canada is a great opportunity to build valuable skills in a fast‑paced retail environment. In this role, you…
Added 2 hours ago
WB
Prep Cook
Whistler Blackcomb
Whistler, BC
- Temporary
…the culinary side of food and beverage operation, this is the job for you. By joining the Food & Beverage team, you will develop new and varied skills in a dynamic work environment.…
Added 2 hours ago
WC
(CAN) General Merchandise Associate
Walmart Canada
Windsor, ON
- Full-time
Position Summary...Working as a General Merchandise Associate at Walmart Canada is a great opportunity to build valuable skills in a fast‑paced retail environment. In this role, you deliver…
Added 2 hours ago
WB
Year-Round Assistant Store Manager: Can-Ski Hilton & Showcase Snowboards
Whistler Blackcomb
Whistler, BC
- Full-time
Added 2 hours ago
WC
(CAN) Préposé au traitement des commandes OMNI
Walmart Canada
Val-d'Or, QC
- Full-time
Position Summary...Working as an OMNI Customer Fulfillment Associate at Walmart Canada is a great opportunity to build valuable skills in a fast‑paced retail environment. In this role, you…
Added 2 hours ago
WC
(CAN) Associé, marchandise générale
Walmart Canada
Val-d'Or, QC
- Full-time
Position Summary...Working as a General Merchandise Associate at Walmart Canada is a great opportunity to build valuable skills in a fast‑paced retail environment. In this role, you deliver…

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

Report this job

Work requirements

Jobs in Canada