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Added 11 days ago
M
Senior Data Architect
Miratech
Toronto, ON
- Full-time
We are looking for a Senior Data Architect to design the end-to-end data platform for APEX. The platform ingests contact centre telephony and quality data from the Genesys A3S Snowflake…
Added 11 days ago
SM
RQ11716 – Systems Testing/QA Specialist – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Knowledge and experience in the use of Computer Aided Software Engineering (CASE) tools and data query tools to aid in the development of test cases.
Added 11 days ago
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Technical Director Pre Production
Netflix
Vancouver, BC
- Full-time
Relevant education in software engineering and/or film creation process.
Added 11 days ago
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Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Field of Study: Computer Science, Software Engineering, Health Informatics, or a related field, or equivalent professional experience
Added 11 days ago
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FPGA Design & Firmware Engineer, Staff
Qualcomm
Markham, ON
- Full-time
…Clocking, Reset, Embedded Systems, Embedded Linux, ARM, C++, Python, Digital Design, CAD, EDA, Emulation, Prototyping, IoT, Mobile, Compute, Data…
Added 11 days ago
HT
Software Validation Technologist
Husky Technologies
Bolton, ON
- Full-time
Implement software validation engineering test plans, cases plus scripts.
Added 11 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 11 days ago
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Sr. Data Engineer
Livingston International
Toronto, ON
- Full-time
6 years of related experience. Strong proficiency in SQL and other programming languages commonly used in data engineering (e.g., Python, Apache).
Added 11 days ago
TI
Senior Data Developer
TS Imagine
Montreal, QC
- Full-time
Build production Python for data ingestion, integrations, orchestration, and engineering tooling.
Added 11 days ago
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Applications Developer (Contract)
ECO Canada
Calgary, AB
- Contract
As a key member of the Applications Development team, the Applications Developer will be responsible for developing and maintaining our web applications. While each member of ECO Canada has…
Added 11 days ago
SM
RQ11716 – Systems Testing/QA Specialist – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Knowledge and experience in the use of Computer Aided Software Engineering (CASE) tools and data query tools to aid in the development of test cases.
Added 11 days ago
SM
RQ11601 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Knowledge and experience using Computer Aided Software Engineering (CASE) tools and data query tools to aid in the development of test cases.
Added 11 days ago
SM
RQ11601 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Knowledge and experience using Computer Aided Software Engineering (CASE) tools and data query tools to aid in the development of test cases.
Added 11 days ago
SM
RQ11601 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Knowledge and experience using Computer Aided Software Engineering (CASE) tools and data query tools to aid in the development of test cases.
Added 11 days ago
SM
RQ11716 – Systems Testing/QA Specialist – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Knowledge and experience in the use of Computer Aided Software Engineering (CASE) tools and data query tools to aid in the development of test cases.
Added 11 days ago
A
Firmware Engineering Manager
AMD
Markham, ON
- $140,800 to $211,200 USD / year
- Full-time
We are seeking a seasoned firmware engineering manager to lead and grow the Data Center GFX FW team. This is a greenfield leadership opportunity: you will be responsible for building the…
Added 11 days ago
W
BIM Coordinator
WalterFedy
AB · Edmonton, AB
- Full-time
…various projects, while providing support to our Architecture and Engineering disciplines, predominantly to our Mechanical Engineering production team as…
Added 11 days ago
Q
ASIC/FPGA Design Verification Engineer
Qualcomm
Ottawa, ON
- Full-time
Engineering Group, Engineering Group > ASICS Engineering
Added 11 days ago
SE
Senior AI Application Development Specialist
Schneider Electric
Montreal, QC
- $114,750 to $162,000 CAD / year
- Full-time
Integrate AI capabilities into existing Digital Energy Software products, developer tools, and engineering workflows.
Added 11 days ago
TT
Staff Software Engineer, AI Foundations (AI Agent Optimization)
Temporal Technologies
Canada
- Full-time
…spanning a broad range of AI applications ranging from agents to data pipelines and everything in…
Added 11 days ago
Senior Consultant
Lightworks
Toronto, ON
Senior Consultants at Lightworks deliver hands-on technical implementation across cloud engineering, data platforms, AI infrastructure, DevOps, and security architecture. You are expected…
Added 11 days ago
SE
Senior AI Data Engineering Specialist
Schneider Electric
Montreal, QC
- $114,750 to $162,000 CAD / year
- Full-time
…information, semantic models, documentation, scripts, and operational data into reliable foundations for AI-enabled applications. As part of the Energy Intelligence initiative, you will…
Added 11 days ago
O
Lead Software Developer (AI-Powered Applications)
OpenText
Waterloo, ON
- Full-time
We are seeking a highly skilled and motivated Senior Software Developer to help build cutting-edge AI-powered applications and agentic experiences. In this role, you will work as a key…
Added 11 days ago
CG
Software Engineer III - Financial Services
Cover Genius
Vancouver, BC
- $115,000 to $145,000 CAD / year
- Full-time
…into our daily development practices and support a culture of engineering excellence. You'll work closely with product managers, QA engineers, and cross-functional engineering teams to ship…
Added 11 days ago
A
Technical Support Engineer
Airbyte
Remote, Canada
- $89,000 to $105,000 CAD / year
- Full-time
- Remote
Dig into complex issues across APIs, connectors, data pipelines, and SaaS integrations, not just finding workarounds but partnering with Engineering to get to the root cause and drive real…

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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