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Added 24 days ago
JG
Senior BI Engineer(Amazon QuickSight)
J&M Group
Toronto, ON
- Full-time
Experience with scripting or automation using technologies such as Python, PowerShell, Bash, AWS CLI, or similar tools.
Added 24 days ago
Junior / Intermediate Noise and Vibration Practitioner/Engineer
Hatch
Mississauga, ON
Hatch is seeking an engineering practitioner (or licensed Engineer) in the Greater Toronto area with 3-5 years experience to support environmental and occupational noise and vibration…
Added 24 days ago
BI Platform Engineer
The Canada Life Assurance Company
London, ON · Toronto, ON
Are you a Business Intelligence platform engineer with a passion for administration, automation, reliability and support? We are looking for a BI Platform Engineer to operate and evolve our…
Added 24 days ago
MC
Senior DevOps Engineer
Modern Campus
Canada
- Full-time
Modern Campus is looking for a Senior DevOps Engineer to build, operate, and improve the cloud infrastructure supporting our higher education products. Our environment is primarily AWS,…
Added 24 days ago
UT
Senior DevOps Engineer – HPC / EDA / SLURM- #26-24242
US Tech Solutions
Vancouver, BC
- $55 to $60 CAD / hour
- Contract
Client is seeking a Senior DevOps Engineer supporting our High Performance Computing (HPC) and Electronic Design Automation (EDA) infrastructure team. This role will work directly within…
Added 24 days ago
A
AI Engineer - Production Applications
Affinity
Vancouver, BC
- Contract
On behalf of our client, Affinity is seeking a hands-on AI Engineer – Production Applications to take ownership of a growing portfolio of AI-enabled applications once they move into…
Added 24 days ago
K
Senior Backend Software Engineer – Data Platform
Kaseya
Toronto, ON
- $205,000 to $240,000 CAD / year
- Full-time
Added 24 days ago
AM
Firmware Engineering Manager
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Develop and execute structured onboarding and ramp-up plans that accelerate new engineer productivity, including mentorship programs, technical deep-dives, and hands-on coding expectations.
Added 24 days ago
KC
Senior Backend Software Engineer – Data Platform
Kaseya Careers
Toronto, ON
- $205,000 to $240,000 CAD / year
Added 24 days ago
J
Junior Support Engineer
Jobgether
Canada
- Full-time
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Junior Support Engineer based in Canada.
Added 24 days ago
O
FPGA AI Accelerator Engineer
O-HIVE.AI
Windsor, ON
- Full-time
We are seeking a talented and motivated FPGA Engineer to join our engineering team and contribute to the development of hardware-accelerated spatial vision and edge AI systems.
Added 24 days ago
M
Senior Security Engineer, Detection and Response
Marqeta
Remote, Canada
- Full-time
- Remote
As Marqeta's Senior Security Engineer on the Security Operations and Response team, you will lead incident response for North America and shape how we detect and respond to threats using…
Added 24 days ago
SI
Cryptographic Systems Engineer (Post-Quantum)
SuperQubit Inc.
Markham, ON
- Full-time
Job Title: Cryptographic Systems Engineer (Post-Quantum)
Added 24 days ago
A
Ingénieur En Cybersécurité
Actalent
MB · Saint-Laurent, MB
- $75 to $105 CAD / hour
- Contract
Maîtrise de l'automatisation et du script avec PowerShell, Bash et Python.
Added 24 days ago
P
Member of Technical Staff (Software Engineer, API Platform)
Perplexity
Toronto, ON
- $220,000 to $405,000 CAD / year
- Full-time
5+ years of backend engineering experience with Python, Go, or Rust, including significant time building platforms or infrastructure used by other engineering teams.
Added 24 days ago
A
FPGA IP Design Engineer - Intern
Altera
Toronto, ON
- Full-time
Altera is hiring a FPGA IP Design Engineer - Intern! As modern FPGAs become increasingly like a SoC, Altera's IP Systems and Solutions Engineering (IPSS) team develops comprehensive…
Added 24 days ago
W
Test Automation Engineer - ETL
Wipro
Toronto, ON
- Full-time
We are looking for a highly motivated 6-8 years of ETL Test Automation Engineer with strong expertise in Azure Data Factory (ADF), Azure Databricks, Python, SQL, and ETL Testing.
Added 24 days ago
Q
FPGA Design & Firmware Engineer, Staff
Qualcomm
Markham, ON
- Full-time
…are seeking an experienced Senior FPGA Design / FPGA Firmware Engineer with strong hands-on experience in RTL design, FPGA implementation, system integration, and embedded…
Added 24 days ago
S1
Full-Stack Machine Learning Engineer
Signal 1
Toronto, ON
- Full-time
- Depth in AI and backend engineering: strong Python for services and ML pipelines, working fluency with cloud infrastructure and CI/CD, and a working understanding of frontend development…
Added 24 days ago
LI
Sr. Data Engineer
Livingston International
Toronto, ON
- Full-time
…and optimize that movement. We're looking for a Senior Data Engineer to design, build, and scale the data infrastructure that powers logistics operations, and executive decision-making. The…
Added 24 days ago
TI
Senior Data Developer
TS Imagine
Montreal, QC
- Full-time
As a Senior Data Engineer, you will own production data systems built with Snowflake, dbt, SQL, and Python. You will help modernize established pipelines, improve the platform’s shared…
Added 24 days ago
RD
CyberArk Consultant (PAM)
Randstad Digital
Toronto, ON
- Full-time
Privileged Access Management (PAM) Engineer - Vault Management, Least Privilege, Session Monitoring, Automation
Added 24 days ago
Q
DSP System Engineer
Qualcomm
Markham, ON
- Full-time
We are searching for an DSP Systems Engineer to be part of the Qualcomm AI Processor team responsible for developing DSP software applications and use cases developed for Qualcomm…
Added 24 days ago
A
Firmware Engineering Manager
AMD
Markham, ON
- $140,800 to $211,200 CAD / year
- Full-time
Develop and execute structured onboarding and ramp-up plans that accelerate new engineer productivity, including mentorship programs, technical deep-dives, and hands-on coding expectations.
Added 24 days ago
A
Ingénieur En Validation & Vérification
Actalent
Quebec, QC
- $40 to $58 CAD / hour
- Contract
Job Title: Validation & Verification (V&V) Engineer Job Description

Signal 1

Full-Stack Machine Learning Engineer

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 14, 2026
Experience: 3+ years of industry experience shipping software, with a substantial portion of that time spent on applied machine learning
Posting language: English
Posted: Oct 16, 2026

Original job description

About Signal 1

US health systems will spend $100-130 billion on AI between 2025 and 2030, and studies show that 95% of AI initiatives fail to deliver measurable impact. Health systems have little to no insight into which AI solutions actually work and bring value, meaning that millions of dollars are wasted on tools that make no difference.

Signal 1's AI Management System enables health systems to operate scalable and valuable AI programs that can ensure solutions are performing as expected and make data-driven decisions on where to invest. Purpose-built for healthcare and informed by experience managing AI at scale, Signal 1 empowers health systems to use AI to its full potential and maximize impact on patient care. We were founded by Tomi Poutanen (former Chief AI Officer at TD Bank, co-founder of the Vector Institute and Radical Ventures) and Mara Lederman (previously a professor at University of Toronto's Rotman School of Management and lead at Creative Destruction Lab), with early backing from Geoffrey Hinton.

About the role

Health systems are starting to build their own AI agents: agents that draft discharge summaries, reconcile medications, prepare prior authorization reviews, and schedule patients. Every one of those agents acts on real patient data inside real clinical workflows, and every one of them needs to be visible, evaluated, and defensible from the day it goes live.

The Agent Control Plane is the latest extension of our flagship product, the Signal 1 AI Management System (AIMS). It gives a hospital one place to manage, evaluate, continuously improve, govern, and interact with all of its agents. The work behind that spans grounding agents in the organization's own context, evaluating agent behavior in a dynamic clinical environment, extracting actionable insights that enable continuous improvement, and integrating with a hospital's systems and people to enable effective agentic workflows.

This part of the platform is a true zero-to-one build that we are co-developing with leading US health systems including NewYork-Presbyterian and Mount Sinai. We have a clear thesis and a small team with room for you to own large pieces of the product. You will work directly with the Director of Engineering, and the technical decisions you make will shape the architecture, the codebase, and the product for years.

This role suits someone who has already taken ML-powered products from first commit to production users and wants to do it again with far more ownership.

About the team

You'll work with a team of engineers, machine learning scientists, and product people who are ambitious and passionate about their craft. We work hard and move fast to shape the way healthcare uses AI for the better. Our office is based in Toronto and we come together 1-2 days a week to collaborate, innovate, and have fun.

What you'll do

Own features end to end: Take a problem from ambiguous idea to production. You'll design the data model, build the pipelines and backend services, and work across the frontend when your feature calls for it. You own the whole slice and the outcome it delivers.

Build the AI core of the product: Design and implement the systems that ground agents in a hospital's own context, evaluate their behavior in a dynamic environment, and turn agent activity into actionable insights that drive continuous improvement.

Work with messy, real-world data: Ingest and normalize agent telemetry from many runtimes, healthcare data standards like FHIR, and clinician feedback, then turn it all into datasets the product and its evaluations can rely on.

Prototype with design partners: Build demos and pilots alongside real health systems, watch them get used, and fold what you learn back into the product within days.

Invent where there is no playbook: Agent observability and evaluation in healthcare is a brand-new field. Many of the problems you'll face have no established solution, and you'll be expected to create one, test it against real data, and share what you learned.

Raise the bar: Agent management is a nascent practice that is developing and changing quickly. You'll keep our patterns for testing, evaluation, logging, and reliability ahead of a fast-moving state of the art, and the standards you set will spread through the whole team.

You'll be a great fit if you have...

Experience

3+ years of industry experience shipping software, with a substantial portion of that time spent on applied machine learning

A track record of building production AI systems: you have taken LLM-powered or ML-powered features into production, operated them at scale, and been on the hook when they misbehaved

Depth in AI and backend engineering: strong Python for services and ML pipelines, working fluency with cloud infrastructure and CI/CD, and a working understanding of frontend development (TypeScript, React, or equivalent) with enough hands-on experience to work across the stack when a feature needs it

Deep hands-on data experience: you have built data pipelines, cleaned messy datasets, designed schemas, and understand how data quality issues surface downstream in models and metrics

Zero-to-one shipping: you have taken at least one product or major product area from an empty repo to real users

A history of novel solutions: you can point to problems that had no established approach and describe the solution you created, why it worked, and how you validated it

Ways of working

A strong product mindset: you start from who the user is and what outcome they need, and you let that drive every technical decision

Comfort navigating uncharted waters: you make good decisions with incomplete information, timebox your bets, and course-correct quickly when the evidence points somewhere new

High agency and resourcefulness: you find the information you need, unblock yourself, and pull in help early when a decision is bigger than you

Clear, succinct communication: you keep engineering, product, and customers on the same page as things move fast, and you translate fluently between technical and clinical audiences

An AI-native way of working: you use AI tools daily across coding, research, and prototyping to speed up every step, and you hold the output to a high standard

A high bar for craft: you push beyond "does it work?" to "does it feel right?", in the product and in the codebase

Nice to have

Experience with healthcare data (FHIR, HL7, EHR integrations) or other regulated, privacy-sensitive domains

Ownership of a product that shipped to production, with responsibility for iterating on it release after release toward product-market fit

Experience building agentic systems that operate on large-scale data in production

Experience conducting AI research, with peer-reviewed publications at conferences or in journals

What we'll bring

Competitive compensation (base salary + bonus + equity) in a high-growth company

Comprehensive health benefits

4 weeks PTO

A green-field product, direct access to design partners at major health systems, and a real say in what gets built

To apply

To apply for this role, please send an email to jullian@signal1.ai with:

"Re: Signal 1 Full-stack Machine Learning Engineer" as the subject line

Your resume

A walkthrough of an ML or AI system you took to production: what it does, the hardest technical decision you made along the way, and why you chose to share this one. Write it as plain text in the body of the email, 500 characters maximum. You may attach one image to supplement the walkthrough.

Apply About employer

More about this job

Responsibilities

Own product features from initial concept through production, including data models, pipelines, backend services, and frontend work as needed. Build systems for grounding, evaluating, monitoring, and improving healthcare AI agents, while prototyping with health-system partners and establishing strong standards for testing, logging, and reliability.

Requirements

Applicants need at least three years of industry software experience, including substantial applied machine learning experience and a track record of taking AI or ML systems into production. They should have strong Python and backend skills, experience with data pipelines and messy datasets, working knowledge of cloud infrastructure, CI/CD, and frontend development, and the ability to ship products from zero to real users.

Skills

Applied Machine Learning
Python
Backend Engineering
Machine Learning Pipelines
Cloud Infrastructure
CI/CD
TypeScript
React
Data Pipelines
Data Modeling
LLM Systems
Agent Evaluation
Healthcare Data
FHIR
HL7
EHR Integrations

Benefits

Competitive Compensation
Bonus
Equity
Comprehensive Health Benefits
Four Weeks Paid Time Off

Visa sponsorship

Not detected in the job text

Hiring contact email

jullian@signal1.ai

Keywords

Applied Machine Learning
Artificial Intelligence
Large Language Models
AI Agents
Python
TypeScript
React
Backend Services
Cloud Infrastructure
CI/CD
Data Pipelines
Data Modeling
Data Normalization
Agent Telemetry
Agent Observability
Agent Evaluation
Clinical Workflows
Healthcare Data
FHIR
HL7
EHR Integrations
Clinician Feedback
AI Governance
Continuous Improvement
Production AI Systems
Testing
Logging
Reliability
Healthcare
Privacy-Sensitive Data

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