Jobs in Canada

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Added 6 mins ago
Sr Optical Firmware Integration Engineer
Nokia
Ottawa, ON
Full-time
Added 50 mins ago
Machine Learning Engineer
Copoly.ai
Canada
$90,000 to $115,000 CAD / year
Full-time
Added 50 mins ago
Sr. Embedded DSP Engineer
ESS Technology, Inc.
Kelowna, BC
Full-time
We are seeking a senior embedded engineer to join our firmware and DSP team development with experience with Cortex based products and advanced audio processors.
Added 1 hour ago
Senior Data Engineer - Data Infra (Canada)
Dandy
Remote, Canada
$133,600 to $167,000 USD / year
Full-time · Remote
Dandy is hiring a hands-on Senior Data Engineer to join our rapidly growing venture-backed company. The Data Infrastructure team owns the data platform - ingestion, pipelines, and the…
Added 2 hours ago
Sr. Software Dev Engineer, Ring Cloud Connectivity Org
Amazon
Toronto, ON
Ring is seeking a Senior Software Development Engineer to join the Cloud Connectivity organization in Toronto, where you'll lead the design and delivery of large-scale, customer-facing…
Added 2 hours ago
Sr. Software Dev Engineer, Ring Cloud Connectivity Org
Amazon
Toronto, ON
Ring is seeking a Senior Software Development Engineer to join the Cloud Connectivity organization in Toronto, where you'll lead the design and delivery of large-scale, customer-facing…
Added 2 hours ago
Observability Engineer
J&M Group
Toronto, ON
Full-time
We are seeking an experienced Observability Engineer to join our Enterprise Kubernetes Platform team at a leading financial services organization.
Added 6 hours ago
IoT Systems Engineer
Invision AI
Remote, Canada
Full-time · Remote
We are looking for a motivated and talented IoT Systems Engineer to join our Toronto team and help us take our products to the next level in connectivity, reliability, and customer delivery.
Added 6 hours ago
Technology Lead
Infosys
ON
…and Agentic AI frameworks. This role is ideal for a mid-level engineer with strong technical depth, a passion for building, and the ability to lead small teams or workstreams in a…
Added 6 hours ago
IoT Systems Engineer
Invision AI
Toronto, ON
Full-time
We are looking for a motivated and talented IoT Systems Engineer to join our Toronto team and help us take our products to the next level in connectivity, reliability, and customer delivery.
Added 9 hours ago
Manager, Software Engineering
AltaML
Toronto, ON
Full-time
We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't.
Added 10 hours ago
Software Engineer 3 - 2-6years of experience.
Nutanix
Vancouver, BC
$103,000 to $155,000 CAD / year
Full-time
Added 10 hours ago
LLM Engineer
Qualcomm
Markham, ON
Full-time
…smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient…
Added 13 hours ago
Développeur expert IA
CGI
Montreal, QC
Full-time
Certification AI/ML sur une plateforme Cloud : Azure AI Engineer, AWS Machine Learning ou GCP Professional Machine Learning Engineer.
Added 13 hours ago
AI Engineer
S M Software Solutions Inc
Mississauga, ON
Full-time
We are seeking an experienced AI Engineer with 7+ years of experience in software and AI engineering to design, develop, and deploy AI/ML solutions. The ideal candidate will have strong…
Added 13 hours ago
AI Engineer
S M Software Solutions Inc
Mississauga, ON
Full-time
We are seeking an experienced AI Engineer with 7+ years of experience in software and AI engineering to design, develop, and deploy AI/ML solutions. The ideal candidate will have strong…
Added 14 hours ago
Senior Software Engineer
Microsoft
Vancouver, BC
Full-time
Added 14 hours ago
AI Computer Vision Engineer
AssistIQ
Remote, Canada
Full-time · Remote
As a Computer Vision/AI Engineer, you will be responsible for designing and developing reliable, maintainable, and scalable CV systems. In this role, you’ll apply computer vision and…
Added 15 hours ago
Platform Engineer - Kubernetes, GitOps, Flux CD & AI/ML Infrastructure
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
Full-time
We're seeking a skilled Platform Engineer to deploy and manage AI/ML infrastructure, e.g. LlamaIndex Cloud and KDB.AI applications on Kubernetes Platform.
Added 15 hours ago
Senior Software Engineer, Machine Learning
Chorus AI
Toronto, ON
$150,000 to $170,000 CAD / year
Full-time
Reports to: Technical CEO, working directly with our Founding Engineer and Founding Data Scientist
Added 17 hours ago
Senior Associate Data Engineering (Azure/Databricks) Hybrid
Publicis Sapient
Toronto, ON
Full-time
Publicis Sapient is looking for a Senior Associate Data Engineer to be part of our team of top-notch technologists. You will lead and deliver technical solutions for large-scale digital…
Added 17 hours ago
Java Software Engineer
Wissen Technology
Montreal, QC
Full-time
Added 18 hours ago
Lead AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
Full-time
Corporate IT is seeking an experienced Lead AI Engineer to design, develop, deploy, and support enterprise-grade Artificial Intelligence, Machine Learning, and Generative AI solutions on…
Added 18 hours ago
AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
Full-time
Corporate IT is looking for AI Engineer with at least 2 years of development experience. This role will be instrumental in driving innovation, implementing cloud capabilities, and building…
Added 18 hours ago
Senior DevSecOps Engineer
Wissen Technology
Calgary, AB
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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