Jobs in Vaughan, ON and nearby

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

48,141 listings · 6,823 employers Counted Sep 23, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (751 listings), Scotiabank (675 listings), RBC (532 listings).

Common roles: Software engineer, Retail sales associate, Project manager.

6,747 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	85,000.00	4,069
CAD / hour	23.80	1,937
USD / year	120,000.00	353
USD / hour	25.00	115
CAD / week	1,250.00	15
GBP / hour	35.00	14
CAD / month	5,500.00	10

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, 29% hybrid, 70% 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 Vaughan, ON and nearby

Within 25 km

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Added 1 hour ago
Catering Server / Banquet Server – Event Staff (Freelance Events) HALTON AREA
Seventh Heaven Event Catering
Toronto, ON
$18 to $30 CAD / hour
Other
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Office Assistant
Seneca Student Federation Inc.
Toronto, ON
Part-time
Added 1 hour ago
Facilities Student, Facilities and Planning (4 Month Contract)
Law Society of Ontario
Toronto, ON
Added 1 hour ago
Legal Administrative Assistant - Commercial Litigation
Singleton Urquhart Reynolds Vogel LLP
Toronto, ON
Full-time
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Analyst - Sales Audit
Staples Inc.
Richmond Hill, ON
Full-time
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BD & Marketing Manager - Disputes
DLA Piper Canada LLP
Toronto, ON
$140,000 to $165,000 CAD / year
Added 1 hour ago
Post-Production Assistant/Assistant Editor
Canadian Film Centre
Toronto, ON
$612 CAD / week
Contract
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Jo Malone London - Sherway Gardens - Temporary Part Time Associate
ELC Beauty LLC
Toronto, ON
Part-time
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Virtual Sales Consultant
NewAge Products Inc
Toronto, ON
Full-time
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Shkabewis/ Cultural Support Worker
Native Child & Family Services of Toronto
Toronto, ON
$41,297 to $62,572 CAD / year
Full-time
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Digital Business Analyst, Global Wealth Management Digital - Bilingual English/Spanish
Scotiabank
Toronto, ON
Added 1 hour ago
Manager, Compliance Quality Assurance - Global Compliance
Scotiabank
Toronto, ON
Added 1 hour ago
Senior Analyst, Compliance Quality Assurance - Global Compliance (18 Month Contract)
Scotiabank
Toronto, ON
Added 1 hour ago
Editorial Producer/Staff Writer, Hello! Canada
St. Joseph Communications
Toronto, ON
$30 to $40 CAD / hour
Contract
Added 1 hour ago
Roll Label Machine Operator
SinaLite
Markham, ON
Full-time
Added 1 hour ago
Office Manager
J.D. Irving, Limited
Concord, ON
Full-time
Added 1 hour ago
Housekeeping Coordinator
Marriott
Toronto, ON
Full-time
Added 1 hour ago
Senior Account Manager - AntiSocial
Thinkingbox
Toronto, ON
Added 1 hour ago
Senior Full-Stack Angular / Java
Spiria
Toronto, ON
Added 1 hour ago
Senior Program Manager
Kepler Communications
Toronto, ON
Full-time
Added 1 hour ago
Warehouse Associate (full-time hourly)
Leons Furniture Limited
Brampton, ON
Full-time
Added 1 hour ago
Customer Care Associate (full-time)
Leons Furniture Limited
Brampton, ON
Full-time
Added 1 hour ago
Director of Property Management-Ottawa
Rhapsody Property Management Services
Toronto, ON
$140,000 to $160,000 CAD / year
Full-time
Added 1 hour ago
Senior Service Reliability Engineer
Fitch Group
Toronto, ON
Added 1 hour ago
Tournament Associate
IntelliPro Group Inc.
Aurora, ON
$50,000 to $80,000 CAD / year
Full-time

Chorus AI

Senior Software Engineer, Machine Learning

Toronto, ON, Canada

Pay: $150,000 to $170,000 CAD / year
Job type: Full-time
Experience: 5+ years of relevant software engineering experience, with a track record of owning production systems end to end.
Posting language: English
Posted: Sep 22, 2026

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Original job description

Senior Software Engineer, Machine Learning Chorus · Toronto, Ontario Location: Toronto, Ontario, in office ~4 days/week (68 Claremont Street, near Ossington and Queen St. West) Compensation: 150,000–170,000 CAD + equity Reports to: Technical CEO, working directly with our Founding Engineer and Founding Data Scientist Apply here: About Chorus Chorus is the marketing intelligence platform for nonprofits. We help mission-driven organizations send the right message to the right supporter at the right moment, building a preference profile for every supporter and routing each one to the content they're most likely to act on. Nonprofits that use Chorus raise 10–20% more revenue from their marketing. We work directly with nonprofits and advocacy organizations in the US and Canada, and alongside some of the sector's leading marketing agencies, reaching campaigns and programs with budgets in the billions, up to and including U.S. presidential campaigns. Our customers include Feeding America and the Human Rights Campaign. We closed a seed round earlier this year and are seeing early product-market fit: we're closing tens to hundreds of thousands of dollars in new revenue every month. Now we need an experienced engineer to own the product that's driving it. The role This is our third non-founder hire. You'll work out of our Toronto office alongside our technical CEO, Founding Data Scientist, and Founding Engineer. You'll own Automated Personalized Marketing, our product that uses machine learning models to build audience segments in real time. That means three things: The ML product, end to end. You'll own the system clients use every day: how models are trained, deployed, served, and monitored, and how their output becomes segments a marketer can act on. You own its reliability, and its performance. The path from model to production. You'll work closely with the founding data scientist to translate business requirements into machine learning definitions and model designs. You'll then train the respective models and turn them into production systems, with evaluation that reflects how the models are actually used, not just how they scored offline. The platform underneath. Our Founding Engineer owns the data platform that feeds it all: ingesting client marketing data, keeping it clean and current, and making it fast enough to segment in real time. You'll collaborate closely with them, shaping what the platform needs to deliver for the ML product and building on top of it. What you'll bring 5+ years of relevant software engineering experience, with a track record of owning production systems end to end. Hands-on ML engineering. You've trained machine learning models, deployed them to production, and evaluated how they perform once real users and real data hit them. Strong engineering fundamentals: testing, CI/CD, observability, and the discipline to keep a small team's codebase healthy as it grows. Comfort across our backend stack: a Python/FastAPI backend, MongoDB, S3, Redis, Pinecone, and AWS, deployed on Render. Comfort across our emerging data platform stack: Python and DuckDB on Dagster Judgment to work independently in an early-stage environment. You set your own direction on ambiguous problems, and you know when something is ready to ship. Numerical computing and performance optimization at scale. You're comfortable with the linear algebra under our models, including large matrix operations, and you know how to make it fast and memory-efficient on big datasets: vectorization, sparse representations, batching, and profiling to find the real bottleneck. Bonus points Martech, CRM, or marketing data experience (email engagement, supporter or donor behavior). Experience with hexagonal (ports-and-adapters) architecture. It's how our FastAPI backend is structured. Experience building retrieval or embedding-based systems. We use Pinecone for embedding-based matching in our models. C$150,000 - C$170,000 yearly

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More about this job

Responsibilities

Own the end-to-end Automated Personalized Marketing product, including the training, deployment, and monitoring of ML models. Collaborate with the founding team to translate business requirements into production-ready ML systems and integrate them with the data platform.

Requirements

Requires 5+ years of software engineering experience with a proven track record of deploying production ML systems. Must be proficient in Python, AWS, and numerical computing, with the ability to work independently in an early-stage environment.

Skills

Machine Learning Engineering
Python
FastAPI
MongoDB
S3
Redis
Pinecone
AWS
Render
DuckDB
Dagster
CI/CD
Numerical Computing
Performance Optimization
Linear Algebra
Hexagonal Architecture

Benefits

Equity

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Software Engineering
Python
FastAPI
MongoDB
S3
Redis
Pinecone
AWS
Render
DuckDB
Dagster
CI/CD
Observability
Linear Algebra
Vectorization
Sparse Representations
Batching
Profiling
Martech
CRM
Hexagonal Architecture
Embedding-based Systems
Marketing Intelligence
Nonprofits
Production Systems

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