Jobs in Delta, BC and nearby

Jobs within 25 km of Delta, BC, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

31,838 listings · 6,493 employers Counted Oct 25, 2026. How we count

About these jobs

Employers hiring include Vancouver Coastal Health (904 listings), Fraser Health (851 listings), Provincial Health Services Authority (503 listings).

Common roles: Registered nurse, Retail sales associate, Software engineer.

8,364 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	33.49	5,142
CAD / year	81,520.00	2,467
CAD / month	5,692.25	312
USD / hour	18.75	156
USD / year	90,000.00	107

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 0% remote, 19% hybrid, 81% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Jobs in Delta, BC and nearby

Within 25 km

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Added 2 days ago
MV
*Project Engineer (Engineering, Design, and Construction)
Metro Vancouver
Burnaby, BC
- Temporary
Added 2 days ago
L
Grant Researcher and Admin Assistant Volunteer
Latincouver
Vancouver, BC
- Volunteer
Added 2 days ago
LH
Job Title Homemaker
Lookout Housing + Health Society
Vancouver, BC
- Full-time
Added 2 days ago
I
Pharmaceutical Sales Representative
Impres
Vancouver, BC
- Full-time
Added 2 days ago
LH
Job Title Medical Care Aid
Lookout Housing + Health Society
Surrey, BC
- Internship
Added 2 days ago
TS
Store Associate
The Salvation Army in Canada
Richmond, BC
- Part-time
Added 2 days ago
LH
Job Title Shelter Resource Worker
Lookout Housing + Health Society
Surrey, BC
- Internship
Added 2 days ago
TS
Licensed Practical Nurse Casual
The Salvation Army in Canada
New Westminster, BC
- Part-time
Added 2 days ago
LH
Job Title Harm Reduction Worker
Lookout Housing + Health Society
Vancouver, BC
- Full-time
Added 2 days ago
VC
Scheduler - Home Support Service
Vancouver Coastal Health
Vancouver, BC
- Full-time
Added 2 days ago
LH
Job Title Shelter Case Worker
Lookout Housing + Health Society
Vancouver, BC
- Full-time
Added 2 days ago
HP
Project Coordinator
Henderson Projects
Vancouver, BC
- Full-time
Added 2 days ago
LH
Job Title Property Manager
Lookout Housing + Health Society
Vancouver, BC
- Full-time
Added 2 days ago
WL
Senior Software Engineer (Mobile)
Willow Laboratories
Vancouver, BC
- Full-time
Added 2 days ago
FG
Lead Data Engineer
Flow Global Technology
Vancouver, BC
- Contract
Added 2 days ago
S
Wet Laboratory Technician
SGS
Burnaby, BC
- $20.5 CAD / hour
- Full-time
Added 2 days ago
Assistant-Development (Laboratory Research Assistant)
Canadian Blood Services
Vancouver, BC
Added 2 days ago
GB
Senior Financial Accountant
GroupHEALTH Benefit Solutions
Surrey, BC
- Full-time
Added 2 days ago
A
Sales Manager
Altea
Vancouver, BC
- Full-time
Added 2 days ago
A
Front of House Manager
Altea
Vancouver, BC
- Full-time
Added 2 days ago
A
Personal Training Manager
Altea
Vancouver, BC
- Full-time
Added 2 days ago
Data Analytics & Automation Co-op
JDS Energy & Mining
Vancouver, BC
Added 2 days ago
R
Senior People Partner
Remitly
Burnaby, BC
- Full-time
Added 2 days ago
F
Software Dev QA Specialist
Fortinet
Burnaby, BC
- Full-time
Added 2 days ago
UO
Service Worker (Regular Full Time) AM Shift
University of British Columbia
Vancouver, BC
- $4,138 to $4,357 CAD / month
- Full-time

Amazon

Applied Scientist, Alexa Connections

Toronto, ON, Canada
Vancouver, BC, Canada

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Applications open in a new tab.

Job details

Experience: 2+ years of experience in a university, industry, or government lab with emphasis on machine learning, deep learning, speech/NLU, or on-device AI
Posting language: English
Posted: Sep 23, 2026

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 next generation of on-device AI for communication, bringing small language models, agentic capabilities, and generative intelligence to the edge so that customers get responsive, and private experiences without relying on the cloud. In practice, that means designing on-device arbitration systems that intelligently route between local and cloud inference in real time, applying modern compression techniques like quantization, distillation, and low-rank adaptation to fit frontier-class capabilities into tight memory and latency budgets, and optimizing inference across on-device accelerators such as NPUs and mobile GPUs. You'll build privacy-first personalization that learns and adapts without user data ever leaving the device, and contribute to the science of edge communication intelligence, intent understanding, contact ranking, proactive connectivity, and conversational reasoning, all running locally. Throughout, you'll collaborate closely with hardware, systems, and product teams to co-design models with the target device in mind, and translate research advances into production features that push the state of the art in on-device AI.

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: - Master's degree or above in computer science, electrical engineering, or related field
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- 2+ years of experience in a university, industry, or government lab with emphasis on machine learning, deep learning, speech/NLU, or on-device AI
- Experience with ML frameworks such as PyTorch or TensorFlow
- Experience developing and deploying ML models in at least one of the following: on-device inference, model optimization, speech/audio, NLU, or LLMs Preferred Qualifications: - PhD in computer science, machine learning, engineering, or related fields
- Experience with on-device model optimization: quantization, distillation, pruning, or low-rank adaptation for resource-constrained deployment
- Experience with on-device inference runtimes (ONNX Runtime, TensorFlow Lite, ExecuTorch) or hardware accelerators (NPUs, DSPs, mobile GPUs)
- Experience building or deploying small language models (SLMs) for edge environments

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

Apply About employer

More about this job

Responsibilities

You will research, develop, and deploy next-generation on-device AI for communication, focusing on small language models and agentic capabilities. This involves optimizing inference for edge hardware and collaborating with cross-functional teams to translate research into production features.

Requirements

Candidates must hold at least a Master's degree in computer science, electrical engineering, or a related field. You need 2+ years of experience in machine learning, deep learning, or on-device AI, along with proficiency in programming languages like Python or C++.

Skills

Machine learning
Deep learning
Python
C++
PyTorch
TensorFlow
On-device AI
Model optimization
Quantization
Distillation
Natural language understanding
Large language models
Edge computing
Speech processing
Conversational reasoning
Hardware acceleration

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 Connections
On-device AI
Small language models
Generative intelligence
Quantization
Distillation
Low-rank adaptation
NPU
Mobile GPU
ONNX Runtime
TensorFlow Lite
ExecuTorch
Edge computing
Intent understanding
Contact ranking
Conversational reasoning
Machine learning
Deep learning
Python
C++
Java
Perl
PyTorch
TensorFlow
Natural language understanding
Speech processing
Hardware acceleration
Privacy-first
Personalization

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