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Added 1 month ago
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Staff Software Engineer - Tools & Infrastructure / DevOps
Cerebras
Toronto, ON
- Full-time
Deep hands-on experience with CI/CD systems and building or evolving automated build, test, and deployment infrastructure.
Added 1 month ago
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Senior SDET, Inference Platform
Cerebras
Toronto, ON
- Full-time
Strong programming skills in Python and/or Go (experience with both is a plus).
Added 1 month ago
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Staff Cloud Infrastructure Engineer
Cerebras
Toronto, ON
- Full-time
Develop automation, integrations, and infrastructure-as-code solutions using Terraform and programming languages such as Python and Go.
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Staff GPU Inference SDET
Cerebras
Toronto, ON
- Full-time
Engineer chaos engineering and fault-injection suites to simulate node failures, inter-node network degradation, GPU memory leaks, driver/firmware mismatches, and automated recovery paths…
Added 1 month ago
Manager of Data Engineering
Robinhood
Toronto, ON
Strong hands-on experience with Python and Apache Spark, along with familiarity with cloud platforms like AWS and data technologies such as Databricks, Delta Lake, Flink, or Pinot/Druid.
Added 1 month ago
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Staff Software Engineer, Inference API
Cerebras Systems
Remote, Canada
- Full-time
- Remote
We are hiring a Software Engineer to build and evolve the ML API layer that makes this heterogeneous serving system accessible, reliable, and easy to use. You will work across our inference…
Added 1 month ago
AM
AI Platform Engineering Lead
AGF Management
Toronto, ON
- Full-time
…Foundry, Anthropic Claude, and Microsoft Agent 365. This is a hands-on role. The successful candidate will spend meaningful time in code, configuration, and architecture, designing…
Added 1 month ago
AM
Forward Deployed AI Engineer
AGF Management
Toronto, ON
- Full-time
The Forward Deployed AI Engineer is a hands-on technical expert responsible for partnering directly with business stakeholders to identify opportunities, design solutions, and build…
Added 1 month ago
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Sr Optical Firmware Integration Engineer
Nokia
Ottawa, ON
- Full-time
…technologies, strong analytical capabilities, and extensive hands-on laboratory experience. You will work in Agile style together with Firmware (FW) team, collaborate closely with…
Added 1 month ago
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Senior Software Development Engineer in Test
Trackforce
Montreal, QC
- Full-time
Trackforce is seeking an experienced and driven Senior Software Development Engineer in Test (Sr. SDET) to join our Engineering team. In this senior individual contributor role, you will be…
Added 1 month ago
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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 1 month ago
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Monitoring Tool Automation Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Strong hands-on expertise in Python and PowerShell scripting/automation.
Added 1 month ago
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Engineer, Full Stack AI & SW
Magna International
Toronto, ON · Aurora, ON
- Full-time
Hands-on experience developing agentic AI applications using frameworks and platforms such as CrewAI, LangGraph, Microsoft 365 Copilot, and Model Context Protocol (MCP), including agent…
Added 1 month ago
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ETL Testing
Kumaran Systems
Toronto, ON
- Full-time
We are looking for an ETL QA Engineer with strong experience in Databricks and PySpark, combined with hands-on exposure to AI-assisted development and prompt engineering. The ideal…
Added 1 month ago
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Senior Software Engineer
Grove Talent
Canada
- Full-time
Senior Software Engineer – Legal Applications (AI-First)
Added 1 month ago
Staff DevOps Developer
Visier Solutions Inc
Vancouver, BC
…how cloud infrastructure is designed, write production-grade Python application code, and build the Model Context Protocol (MCP) servers and RAG retrieval services that enable AI tools and…
Added 1 month ago
Technology Lead - Azure Databricks
Infosys
Canada
Infosys is seeking an Technology Lead - Azure Databricks - Data Engineer.
Added 1 month ago
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Data Architect
Brandt Group of Companies
Regina, SK
- Full-time
Brandt is seeking a highly skilled and motivated Data Engineer to join our dynamic team. The ideal candidate will have a strong background in designing, implementing, and optimizing data…
Added 1 month ago
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QA Engineer
First National Financial LP
Toronto, ON · East York, ON
- Full-time
This is a hands on role embedded in a First National product squad from the start of delivery. The QA Engineer develops and executes risk based manual and automated testing, supports UAT…
Added 1 month ago
CA
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 1 month ago
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Senior QA Developer (Agent Security)
Fortinet
Burnaby, BC
- Full-time
We are hiring a Senior / Staff QA Engineer for Fortinet's AI security product line, FortiAIGate, to own end-to-end testing of the product across both SaaS and on-premises deployments.…
Added 1 month ago
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Senior Information Security Engineer
Match
Vancouver, BC
- $180,000 to $200,000 USD / year
- Full-time
Strong hands-on experience with Okta: policy design, device assurance, FastPass, device trust, RBAC
Added 1 month ago
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Senior Information Security Engineer
Match Group
Vancouver, BC
- Full-time
Strong hands-on experience with Okta: policy design, device assurance, FastPass, device trust, RBAC
Added 1 month ago
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QA Analyst
EXFO
Montreal, QC
- Full-time
Solides compétences en programmation ou en script avec Java, JavaScript/TypeScript, Python, Go ou des langages comparables.
Added 1 month ago
AM
Senior Embedded BIOS/Firmware Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
We are looking for a dynamic, energetic Senior Embedded BIOS/Firmware Engineer to join our growing team. As a key contributor to the success of AMD’s products, you will be part of a leading…

Chorus AI

Senior Software Engineer, Machine Learning

Toronto, ON, Canada

$150,000 to $170,000 CAD / year · Full-time

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Job details

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

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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