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Added 1 min ago
Senior Python Engineer (AI skills)
Luxoft
Toronto, ON
Contract
…This role is suited for an experienced, self-directed software engineer who can operate with a high degree of autonomy, take ownership of outcomes, solve ambiguous problems, and deliver…
Added 1 min ago
Data Engineer
SGS Consulting
Canada
Contract
Client is seeking a data engineer contractor to join our growing analytics team.
Added 1 min ago
Principal Engineer, Software Engineering / AI Engineer
Quantum Technology Recruiting Inc. (QTR)
Toronto, ON
$285,000 to $325,000 USD / year
Full-time
Position: Principal Engineer, Software Engineering / AI Engineer
Added 14 mins ago
AI/ML Platform Engineer (Cloud Infrastructure)
K&K Global Talent Solutions INC.
ON · Ontario, Canada
Full-time
Position: AI/ML Platform Engineer (Cloud Infrastructure)
Added 16 mins ago
Software Engineer II
Socure
Toronto, ON · Greater Toronto Area, Canada
Full-time
…software workflows to agent-native operations. As a Software Engineer II on the team, you will help design, build, and harden a secure, evaluable, vendor-agnostic agent platform that teams…
Added 16 mins ago
Senior Data Engineer
MatchBox Consulting Group
Vancouver, BC
Contract
MatchBox Consulting Group is currently seeking a Senior Data Engineer for a 6 month contract role with a client of ours located in Vancouver.
Added 16 mins ago
Process Planner
Array Marketing
Toronto, ON · Greater Toronto Area, Canada
Full-time
…Sephora, L’Oréal, Coty, PUIG, Amazon, and many others to design, engineer, manufacture, and deliver bespoke retail environments that bring their brands to…
Added 16 mins ago
Big Data Engineer
Themesoft Inc.
Toronto, ON
Contract
Design and develop Spark-Scala applications for large-scale data processing on Hadoop/CDP clusters
Added 16 mins ago
Senior Data Engineer
RAPS Consulting Inc
Mississauga, ON
$110,000 to $120,000 CAD / year
Full-time
We are looking for a Senior Data Engineer to join the Data Sourcing and Analytics team and support the design, development, and enhancement of enterprise data solutions across modern cloud…
Added 16 mins ago
Platform Engineer - AI/ML Infrastructure
K&K Global Talent Solutions INC.
Toronto, ON
$110,000 to $120,000 CAD / year
Full-time
Position: Platform Engineer - AI/ML Infrastructure
Added 17 mins ago
Senior Full Stack Engineer
OpenTable
Toronto, ON
As an engineer on the Diner Growth – Blog Team, you’ll take ownership of evolving our CMS and web platform. You’ll work across the full stack-from our existing WordPress, PHP, and Apache…
Added 17 mins ago
Operations Engineering - Continental Shift
Pliteq
Woodbridge, ON
Full-time
Pursuing Professional Engineer (P.Eng.) designation
Added 33 mins ago
Software Engineer
ResMed
Halifax, NS · CA Canada (ResMed Halifax)
Full-time
At Resmed, technology has a direct impact on people's lives. As a Software Engineer within our Digital Product Engineering team, you'll help build and evolve the cloud-based platforms and…
Added 33 mins ago
Electrical Designer
Crown Technical Systems
Vaughan, ON · SpinCo - CA Ontario Vaughan
Full-time
…delivering end-to-end power and thermal management solutions for AI data centers and other mission-critical…
Added 47 mins ago
Senior Software Engineer
AltaML
Toronto, ON
$130,000 to $150,000 CAD / year
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 47 mins ago
Senior Software Engineer, Machine Learning
Chorus
Toronto, ON
Full-time
Reports to: Technical CEO, working directly with our Founding Engineer and Founding Data Scientist
Added 48 mins ago
Senior Data Engineer
Ipsos
Canada
5+ years of professional experience as a data engineer
Added 48 mins ago
Electrical Designer
Flex
Vaughan, ON · SpinCo - CA Ontario Vaughan
Full-time
…delivering end-to-end power and thermal management solutions for AI data centers and other mission-critical…
Added 48 mins ago
Senior Data Engineer
Extendicare
Markham, ON · Extendicare (Canada) Inc (Steeles Ave.)
Full-time
Reporting to the Sr. Manager, Data Architecture, the Senior Data Engineer will play a key role in designing, building, and modernizing enterprise data integrations that support business…
Added 48 mins ago
Quality Engineer
Magna International
Toronto, ON
Full-time
The Quality Engineer will provide technical support, from a quality perspective, in the resolution of production concerns. Will also be supporting the launch of new programs. The Engineer…
Added 48 mins ago
Manufacturing Engineer
Magna International
Toronto, ON
Full-time
Conducts appropriate Manpower efficiency studies – through time and motion studies or standard data. Line balancing manpower, machine charts and analysis
Added 48 mins ago
Technology Analyst - Databricks Developer
Infosys
ON
Infosys is seeking an Technology Analyst - Azure Databricks - Data Engineer.
Added 1 hour ago
Principal Python Engineer (AI Experience REQUIRED)
Luxoft
Toronto, ON
Full-time
…This role is suited for an experienced, self-directed software engineer who can operate with a high degree of autonomy, take ownership of outcomes, solve ambiguous problems, and deliver…
Added 1 hour ago
Data Engineer
Hays
Toronto, ON
Contract
We are seeking a Data / Analytics Engineer to join a growing analytics team supporting business operations across multiple industry sectors, including food services, healthcare, and related…
Added 1 hour ago
Cloud Data Engineer
Tata Consultancy Services
Toronto, ON
$100,000 to $120,000 CAD / year
Full-time
Extensive experience in Data Warehousing, Data Engineering, and AWS Cloud technologies.

Chorus

Senior Software Engineer, Machine Learning

Toronto, ON, Canada

Job type: Full-time
Apply by: Mar 21, 2027
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: https://app.careerpuck.com/job-board/chorus-ai/job/atL-2qZE

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.

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More about this job

Responsibilities

You will own the end-to-end machine learning product, including model training, deployment, and performance monitoring. You will collaborate with the founding team to translate business requirements into production-ready machine learning systems.

Requirements

Candidates must have 5+ years of software engineering experience with a strong background in deploying machine learning models to production. Proficiency in Python, backend infrastructure, and performance optimization for large datasets is required.

Skills

Machine Learning
Python
FastAPI
MongoDB
AWS
Redis
Pinecone
DuckDB
Dagster
CI/CD
Observability
Data Engineering
Linear Algebra
Performance Optimization
Software Engineering

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
Nonprofit

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