Jobs in Stouffville, ON and nearby

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

7,477 listings · 1,384 employers Counted Sep 18, 2026. How we count

About these jobs

Employers hiring include BGIS (121 listings), Walmart Canada (117 listings), Walmart (104 listings).

Common roles: Retail sales associate, Personal support worker, Project manager.

987 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 / year	74,500.00	502
CAD / hour	20.00	320
USD / year	105,600.00	73
USD / hour	18.55	32

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 Stouffville, ON and nearby

Within 25 km

Save this search

Added 6 hours ago
Retail Store Associate Temporary Part Time Winners -Markham
The TJX Companies, Inc.
Markham, ON
Part-time
Added 6 hours ago
Dining Room Server
Amica Senior Lifestyles
Pickering, ON
Added 6 hours ago
Intermediate Structural Engineer
Tetra Tech
Pickering, ON
Full-time
Added 6 hours ago
Financial Reporting & Capital Asset Policy Advisor
The Corporation of The Town of Aurora
Aurora, ON
Full-time
Added 6 hours ago
Personal Support Worker
March of Dimes Canada
Richmond Hill, ON
Added 6 hours ago
Crew Member - Booster Juice King City ONroute
Careers at ONroute
King City, ON
Added 6 hours ago
Customer Experience Analyst
GM Financial Canada
Toronto, ON
Full-time
Added 6 hours ago
Software Engineer
PlanIT Search
Markham, ON
Contract
Added 6 hours ago
Project Manager - Markham, ON (Onsite)
Tenth Revolution Group
Markham, ON
$65,000 to $90,000 CAD / year
Full-time
Added 6 hours ago
SEASONAL ASSOCIATE-EN
La Vie En Rose
Newmarket, ON
Part-time
Added 6 hours ago
MERCHANDISE ASSOCIATE-EN
La Vie En Rose
Richmond Hill, ON
Part-time
Added 6 hours ago
Ecommerce Manager
Shiseido
Markham, ON
$85,000 to $95,000 CAD / year
Full-time
Added 6 hours ago
SALES ASSOCIATE-EN
La Vie En Rose
Aurora, ON
Part-time
Added 6 hours ago
CASHIER-EN
La Vie En Rose
Richmond Hill, ON
Part-time
Added 6 hours ago
Assembler
People Integra (A Business Integra Group Company)
Markham, ON
Contract
Added 6 hours ago
Intermediate Highway Designer, Engineer
WSP in Canada
Markham, ON
Full-time
Added 6 hours ago
Personal Support Worker (PSW), Assisted Living - Temporary, Full-time
VON Canada (Ontario)
Toronto, ON
$19.61 to $24.02 CAD / hour
Full-time · Temporary
Added 6 hours ago
Actuarial Manager, GCS Pricing
Aviva
Markham, ON
Added 7 hours ago
Front of House Manager
Service Inspired Restaurants
Aurora, ON
Other
Added 7 hours ago
Front of House Manager
Service Inspired Restaurants
Richmond Hill, ON
Other
Added 7 hours ago
Client Service Coordinator
Bayshore
Markham, ON
Added 7 hours ago
Guidewire Developer / Lead
ZenithInfotek LLC
Markham, ON
Full-time
Added 7 hours ago
Window & Door Sales Consultant
Renewal by Andersen Metro & Midwest
Markham, ON
Full-time
Added 7 hours ago
Permanent Part Time Life Enrichment Aide
Parkview Services for Seniors
Whitchurch-Stouffville, ON
Part-time
Added 7 hours ago
Sales Engineer - Markham, ON (Onsite)
Tenth Revolution Group
Markham, ON
$65,000 to $90,000 CAD / year
Full-time

Huawei Technologies Canada Co., Ltd.

Senior Principal Researcher - AI Data Platform

19 Allstate Parkway, Markham, ON, L3R 5B4, Canada

Job type: Full-time

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At a glance

Automatically prepared from the listing. Check the original description for the full requirements.

Jump to the original description

Responsibilities

Define and drive the long-term research agenda for AI-native data platforms, including vector-native data lakes and high-performance retrieval infrastructures. Lead the design of next-generation architectures and collaborate with engineering teams to translate research into production-ready systems.

Requirements

Requires a PhD in Computer Science or a related field with at least 3 years of research experience in data systems or AI infrastructure. Candidates must have a proven track record of publishing at top-tier venues such as VLDB, SIGIR, or NeurIPS.

Experience

5 to 10 years

Education

postgraduate degree

Working hours

40 hours per week

Work arrangement

On-site

Skills

AI Data Platform
Vector Databases
Data Lakes
Information Retrieval
Machine Learning
LLM
RAG
Data Architecture
Hybrid Search
Metadata Enrichment
System Prototyping
Research Leadership
Data Management
File Systems
Storage Networks
Agent Memory Systems

Visa sponsorship

Not detected in the job text

Keywords

AI-native
Vector-native
Data Lakes
Intelligent Caching
LLM
RAG
Agent Memory Systems
Knowledge Bases
Data-Centric AI
Dynamic Data Indexing
Hybrid Search
Intelligent Chunking
File Storage
Vector Indexes
VLDB
SIGIR
NeurIPS
SIGMOD
Milvus
Pinecone
Databricks
Snowflake
Unstructured Data
Metadata Enrichment
Research
Computer Science
Information Retrieval
Data Management
AI/ML Infrastructure
ICDE

Original job description

Huawei Canada has an immediate permanent opening for a Senior Principal Researcher.

About the team:

The Emerging Storage Lab is a research group based at Huawei Canada's Toronto Research Centre that is focused on next-generation data and storage technologies and innovations. Our team comprises graduate computer engineers and computer scientists with diverse industry experience, ranging from 0 to over 20 years. This lab investigates various data storage-related topics, including data management, data catalog, data fabric, file systems, storage networks, and AI storage, aiming to advance the field and drive data storage technological progress in the new AI era.

About the job:

Define and drive the long-term research agenda for AI-native data platforms, focusing on vector-native data lakes, intelligent caching, and high-performance retrieval infrastructures for LLMs and RAG.
Pioneer research in Agent memory systems, Knowledge Bases, and RAG-optimized data intelligence, advancing the field of Data-Centric AI.
Lead research in dynamic data indexing, hybrid search (semantic + keyword), intelligent chunking/parsing strategies, and real-time context freshness.
Design and prototype next-generation architectures that unify file storage, data lakes, and low-latency vector indexes into a cohesive, AI-ready data stack.
Publish groundbreaking research at top-tier venues (e.g., VLDB, SIGIR, NeurIPS, SIGMOD) and secure patents for novel approaches.
Represent the organization as a thought leader through speaking engagements and active participation in the academic and industry community.
Collaborate with product and engineering teams to translate research into production-ready systems with tangible real-world impact.
Mentor junior researchers and PhD interns, fostering a collaborative, high-impact research environment.

About the ideal candidate:

PhD in Computer Science, Information Retrieval, Data Management, or a related field.
3+ years of research experience in data systems, information retrieval, or AI/ML infrastructure.
Proven track record of publishing at top-tier venues such as VLDB, SIGIR, NeurIPS, SIGMOD, or ICDE.
Strong understanding of AI Data Platform challenges: hybrid search tuning, index freshness, multi-tenancy in vector spaces, and cost/latency trade-offs.
Hands-on experience with unstructured data processing, metadata enrichment, vector databases (e.g., Milvus, Pinecone), or Data Lakes (e.g., Databricks, Snowflake).
Exceptional communication skills with the ability to articulate complex research concepts to both academic and industry audiences.
Proven ability to influence the field through publications, patents, and cross-functional collaboration across research, product, and engineering.

Additional Information:

Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. If you require accommodation during any stage of the hiring process, please let us know and we will work with you to meet your needs.

All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates.

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