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Added 2 months ago
S1
Full-Stack Machine Learning Engineer
Signal 1
Toronto, ON
- Full-time
…at University of Toronto's Rotman School of Management and lead at Creative Destruction Lab), with early backing from Geoffrey…
Added 2 months ago
L
Director of Engineering
Lazer
Remote, Canada
- Full-time
- Remote
Strong full stack depth with TypeScript, React, Node.js, Python or Go.
Added 2 months ago
TD
Senior Manager, Solutions Architecture
TELUS Digital
Remote, Canada
- $224,000 to $254,000 CAD / year
- Full-time
- Remote
Front-end: Swift, Kotlin, Maui, React Native, React, Angular, Flutter, Typescript
Added 2 months ago
MF
Software Engineering Manager
MoneyWay Financial Group
North Vancouver, BC
- Full-time
MoneyWay is seeking an experienced Software Development Manager to lead enterprise software engineering, cloud modernization and technology strategy. This role is responsible for software…
Added 3 months ago
A
Intermediate Full Stack Software Engineer
AltaML
Edmonton, AB
- $90,000 to $110,000 CAD / year
- Full-time
We are looking for a Full Stack Software Engineer who builds software in an AI-native way - someone who treats Claude and the latest agentic coding tools as a core part of their craft, not…
Added 3 months ago
GD
Senior Backend Engineer - App
Groupe Dynamite, Inc Garage
Mont-Royal, QC · Ville Mont-Royal, Quebec
- Full-time
…maintain existing functionalities using Node.js, .NET Framework, React Native, Salesforce Commerce Cloud (OCAPI and SCAPI), and Google Cloud Platform (Cloud Run functions and…
Added 3 months ago
R
Engineering Manager, Risk Engineering
Relay
Toronto, ON
- Full-time
Delivery Leadership: Lead the planning, execution, and delivery of risk-critical engineering initiatives, ensuring systems meet high standards of quality, reliability, and safety
Added 3 months ago
A
Lead Software Engineer - Full Stack (Bangkok based, relocation provided)
Agoda
Toronto, ON
- Full-time
12 years+ of experience developing web applications in client-side frameworks such as React, Angular, VueJS, etc., with a minimum of 3 year experiences as a Tech Lead
Added 3 months ago
T
AI Product Manager - Agency Exp Required
TribalScale
Toronto, ON
- Full-time
Mobile & Web Development: (iOS, Android, React Native, React, Node.js)
Added 3 months ago
B
Senior Full-Stack Developer (AI Systems)
Briidge
Remote, Canada
- Full-time
- Remote
Cross-platform surfaces: our React Native mobile app today, with a desktop app on the roadmap
Added 3 months ago
C
Software Engineering Intern/Co-op - 2026 Fall
Clearline
Toronto, ON · Kitchener, ON · Waterloo, ON
- $60,000 to $80,000 USD / year
- Internship
AI-native development: Build and iterate on AI-driven workflows (voice, SMS, lead follow-up logic, routing, scoring). Use LLM tools to accelerate development and testing.
Added 3 months ago
GD
Senior Engineer I
Groupe Dynamite
Mont-Royal, Quebec
- Full-time
…maintain existing functionalities using Node.js, .NET Framework, React Native, Salesforce Commerce Cloud (OCAPI and SCAPI), and Google Cloud Platform (Cloud Run functions and…
Added 2 months ago
I
Senior Frontend Engineer
Ignition
Remote, Canada
- $160,000 to $190,000 CAD / year
- Full-time
- Remote
As a Senior Front-end Engineer, you’ll lead the delivery of high impact product and platform work across the stack. We’re looking for someone with strong ownership, sharp product instinct,…
Added 4 months ago
AP
Director of Engineering, Web and Mobile
Accommodations Plus International
Markham, ON
- $190,000 to $200,000 CAD / year
We’re hiring an Engineering Director to lead a team of 10–20 engineers building customer-facing web and mobile applications used by thousands of users globally. You'll lead teams…
Added 3 months ago
PT
Software Engineering Manager
Parts Town Canada
Toronto, Ontario
- Full-time
…years in engineering leadership. In this dynamic role, you'll lead our exceptional, senior engineering team and collaborate with business stakeholders to build customer-facing solutions…
Added 2 months ago
Team Lead, Software Engineering (Full-Stack)
Questrade Financial Group
Toronto, ON
Architecture & Technical Leadership: Review and approve high-level architectures (.NET, Angular, React-Native, GCP) to ensure scalability.
Added 2 months ago
A
Software Development Manager, Generative AI
Autodesk
Winnipeg, MB · Toronto, ON · Montreal, QC · Quebec, QC · ON · MB · SK · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
…Your team will define shared data representations, deliver developer-facing integration surfaces, and design the client and server components that let products and partners safely invoke…
Added 2 months ago
HH
Senior Quality Engineer
Hinge Health
Remote, Canada
- $90,400 to $135,600 CAD / year
- Full-time
- Remote
2+ years of experience testing mobile applications (e.g., React Native, native iOS, or native Android).
Added 2 months ago
C
Senior Developer - Cloud Applications
Cansel
Richmond Hill, ON
- Full-time
We are seeking a highly experienced Senior Developer to lead the design, enhancement, integration, and modernization of the Digital Products Catalog (DPC) platform.
Added 2 months ago
E
Senior Software Engineer - Full Stack
Emburse
Toronto, ON
- Full-time
Intermediate knowledge in react native and react
Added 2 months ago
Principal Front End Engineer
Questrade Financial Group
Toronto, ON
Architecture & Design: Lead the architectural design and development of complex, high-performance front-end applications using React Native and Angular. Make critical decisions on…
Added 2 months ago
Principal Software Engineer
Questrade Financial Group
Toronto, ON
Make the hard technical calls across back-end, web, and mobile, then implement them yourself in TypeScript - React on the web, React Native on mobile. Architecture is not a document you…
Added 4 months ago
T
Staff Software Engineer, Growth
Tubi
Toronto, Ontario
- Full-time
You will be working with React, Node.js, GitHub Actions, Terraform, and CDN infrastructure to build and deploy high-performance applications that reach millions of users.
Added 4 months ago
T
Senior Software Engineer, Growth
Tubi
Toronto, Ontario
- Full-time
AI-Driven Developer Experience: Contributing to internal front-end tooling and platforms that use AI to enhance developer productivity. This includes automated visual regression testing,…
Added 3 months ago
Senior Technology Manager, Data Delivery
Equitable
Waterloo, ON
Lead solution Development or Service practices and processes by enabling the team to deliver high quality solutions in a sustainable and optimized manner.

Signal 1

Full-Stack Machine Learning Engineer

Toronto, ON, M5R 2E3, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: 3+ years of industry experience shipping software, with a substantial portion of that time spent on applied machine learning
Posting language: English
Posted: Aug 13, 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

You will own the end-to-end development of features, from design and data modeling to backend implementation and frontend integration. Additionally, you will build the AI core of the product by grounding agents in clinical context and creating systems for evaluation and continuous improvement.

Requirements

The role requires 3+ years of industry experience with a strong focus on applied machine learning and shipping production-grade AI systems. Candidates must possess deep expertise in Python, backend engineering, data pipeline construction, and the ability to work across the stack.

Skills

Machine Learning
Python
LLM
Backend Engineering
Cloud Infrastructure
CI/CD
TypeScript
React
Data Pipelines
Data Modeling
FHIR
Healthcare Data
Agentic Systems
Software Development
System Architecture

Benefits

Competitive compensation
Bonus
Equity
Comprehensive health benefits
4 weeks PTO

Visa sponsorship

Not detected in the job text

Hiring contact

Jullian

Hiring contact email

jullian@signal1.ai

Keywords

Full-Stack
Machine Learning
AI Management System
Agent Control Plane
Healthcare
Python
LLM
Backend
Cloud Infrastructure
CI/CD
TypeScript
React
Data Pipelines
FHIR
HL7
EHR
Data Modeling
Agentic Systems
Software Engineering
Product Development
System Architecture
Telemetry
Clinical Workflows
Data Quality
Prototyping
Scalability
Governance
Observability
Evaluation
Reliability

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