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Added 1 month ago
Senior Full Stack Engineer, Designer Team
Movable Ink
Toronto, ON
The Senior Full Stack Engineer role on the Designer Team collaborates closely and effectively with devs on the team, as well as product, design, and cross-team stakeholders to ship and…
Added 5 months ago
Ingénieur·e en automatisation IA (Data Products)
CGI
Montreal, QC
Full-time
CGI Montréal is hiring a Senior AI/Automation Engineer to industrialize how data products are designed, built, and operated for clients in the manufacturing sector. You will apply and…
Added 2 months ago
Staff Software Engineer
Ritchie Bros.
Vancouver, BC
Full-time
We are seeking a highly skilled Staff Software Engineer to join our Data Engineering team. In this senior technical leadership role, you will drive the architecture, design, and evolution…
Added 13 days ago
Software Development Engineer (Agent Factory)
Workday
Vancouver, BC · Toronto, ON · Canada, BC, Vancouver
Full-time
Agent Factory is where Workday’s next chapter gets built. We’re forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and…
Added 19 days ago
Principal Software Engineer (Agentic Integration)
Black Duck Software, Inc.
Calgary, AB
This is a hands-on, senior technical role built for someone who takes initiative. We're looking for an engineer who doesn't wait to be told what to build - who spots gaps in how our…
Added 1 month ago
Senior Software Engineer (AI & Full Stack)
Fable
Remote, Canada
Full-time · Remote
Fable is looking for a highly motivated Senior Software Engineer with deep backend expertise, strong full-stack development skills, and hands-on experience building AI-powered applications…
Added 13 days ago
Principal Developer Support Engineer - Builder Experience (BX)
Okta
Toronto, ON
This is not primarily a queue role. You will mostly engage on cases that exceed senior engineer scope, the ones that need architecture judgment, not triage.
Added 1 month ago
Senior Software Engineer (Data/Backend)
Blackpoint Cyber
Remote, Canada
$131,000 to $164,000 CAD / year
Full-time · Remote
Strong programming skills in at least two of TypeScript/Node.js, Python, and Go, with experience building and maintaining microservices architectures on Kubernetes.
Added 1 month ago
Senior Engineer, TFM, Risk & Total Fund Management Technology
CPP Investments | Investissements RPC
Toronto, ON
Full-time
As Senior Engineer, Total Fund Management Technology, you will design, build, test, and support technology solutions that enable portfolio construction, monitoring, analytics, and Total…
Added 1 month ago
Senior Infrastructure Engineer (Forward Deployed)
ANVIL
Ottawa, ON
Full-time
We are seeking a versatile Senior Infrastructure Engineer to join our team, focused on delivering mission-critical software to our defence, public safety, and national security customers.…
Added 1 month ago
Senior Integration Engineer (Forward Deployed)
ANVIL
Ottawa, ON
Full-time
We're seeking a versatile Senior Integration Engineer to connect our mission-critical software to the systems our defence, public safety, and national security customers depend on. You'll…
Added 1 month ago
Staff Engineer, Computer Vision
Stryker
Burnaby, BC
$105,300 to $140,450 CAD / year
Full-time
Influence technical decisions within assigned projects and partner with senior technical leaders on broader initiatives.
Added 16 days ago
Senior Software Engineer, Full-Stack Applications - Ratings Technology
Fitch Group
Toronto, ON
Fitch Ratings is seeking a Senior Software Engineer to join our organization. This role is about leading the development of what comes next: intelligent applications, full-stack platforms…
Added 2 months ago
Machine Learning Engineer
Opendoor
Toronto, ON
Full-time
You'll work directly with researchers, product, and operations to build the automation that scales in the real world. Our systems must be agile, accurate, and resilient in a heterogeneous…
Added 2 months ago
Full Stack Engineer (1877)
Direct IT Recruiting Inc.
Toronto, ON
$85 to $90 CAD / hour
Contract
With supervision and code/design reviews by senior staff, responsible for the timely completion of high-quality, well-designed, and well-architected systems that make appropriate use of…
Added 2 months ago
Machine Learning Engineer - (Computer Vision)
Jumio Corporation
Montreal, QC
Full-time
We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production.…
Added 2 months ago
Senior Application Security Engineer
Paymentus
Richmond Hill, ON
$110,000 to $150,000 USD / year
Full-time
The Senior Application Security Engineer is responsible for helping secure the Paymentus SaaS platform by partnering directly with software engineering, product, cloud infrastructure,…
Added 3 months ago
Principal Engineer - New Initiatives (Founding Platform Engineer)
Fulfillment IQ
Toronto, ON
Full-time
Job Title: Principal Engineer - New Initiatives (Founding Platform Engineer)
Added 2 months ago
Staff Machine Learning Engineer
SCIENTIFIC GAMES
Montreal, QC
Full-time
We are looking for a Staff Machine Learning Engineer to define and build the machine learning platform architecture for the organization. This team will create the enabling layer that…
Added 16 days ago
Senior Controls Systems Software Designer
ATS Automation
ON · Woodbridge, ON
…world-class automation solutions while planning and leading projects with full responsibility for project teams, schedules, milestones, and budgets. The role involves contributing to…
Added 16 days ago
Senior Software Developer
ATS Automation
ON · Woodbridge, ON
…acquisition devices. Integration stage will combine software with associated custom-built machine(s) and involve proving out mechanical, electrical, and software components to produce a…
Added 1 month ago
Bilingual Senior AWS Platform Engineer
KPMG
Hamilton, ON · Oakville, ON · Montreal, QC · Boisbriand, QC · ON · Vaughan, Ontario · Toronto, Ontario
Full-time
We are seeking a Senior AWS Platform Engineer to manage platform-level activities across two AWS Organizations. The role is focused on AWS platform administration, Terraform-led automation,…
Added 1 month ago
Senior Marketing Engineer
Passage
Toronto, ON
Full-time
What makes this a marketing engineer role: at Passage, marketing runs on an AI-assisted platform built in-house - campaigns are launched, creative is built, audiences are sized, and…
Added 1 month ago
Senior Data Engineer
Euna Solutions
ON · Oakville, Ontario
Full-time
Strong SQL and Python, and comfort with transformation tooling such as dbt.
Added 1 month ago
Senior Software Engineer C# .NET
Prophix
Remote, Canada
Full-time · Remote
As a Senior Software Engineer at Prophix, you'll play a central role in shaping the product that over 2,500 finance teams around the world rely on every day for budgeting, reporting, and…

Opendoor

Machine Learning Engineer

Toronto, ON, Canada

Job type: Full-time
Posting language: English
Posted: Jul 20, 2026

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Original job description

About Opendoor

At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.

About The Role - Senior And Above

You're interviewing for Opendoor’s ML team which seeks to automate and refine every decision made in our product. We don't slot into silos; you'll build where you have the most impact and the most fun.

These are builder roles across the ML stack. Wherever you land, you'll be doing one of three things:

Building models in business-critical contexts like pricing, risk, repairs, and decision optimization. Leverage frontier techniques to extend our capabilities into the unstructured world of real estate.
Building the intelligent services that bring structured, precise decision-making into the highly unstructured world of real estate.
Building platforms that accelerate how fast our models learn. How fast we learn dictates how fast this company can grow.

You'll work directly with researchers, product, and operations to build the automation that scales in the real world. Our systems must be agile, accurate, and resilient in a heterogeneous space. We are growing fast and this work is at the core.

This isn't a role for everyone. We choose hard mode. We're process-light, high-trust, and we don't put artificial boundaries between you and the work. You'll be expected to understand how your piece connects to the product and communicate at that level. We don't have project managers, we don't have scrum. We do reviews, proposals, demos, and trust.

What We're Looking For

You ship. You pick the boring solution when boring is right and the novel one when it isn't. You know when “good enough and shipped today” beats “perfect next quarter.”

You have high agency. You don't wait for permission or a perfectly scoped ticket. You see the problem, take ownership end-to-end, and pull in whoever you need. Lean teams, significant latitude, real accountability.

You run at unclear problems. The most valuable problems here don't come with a playbook - messy data, imperfect ground truth, markets that shift under you. Ambiguity is the job, not an obstacle to it.

You hold a high standard. You measure twice and cut once. You review code, raise the bar on everything around you, and treat the quality of our end-to-end judgment as your problem.

You think in first principles. You have opinions on architecture, distributed systems, ML lifecycle tradeoffs, and the constraints and tripwires of operating models in a high-stakes environment.

You default to AI. You've already integrated modern AI tools into your daily workflow. You use them to move faster, not as a crutch.

You communicate well. You write clear design docs, give useful code reviews, push back on bad ideas without making it personal, and can land a technical tradeoff with a non-technical stakeholder.

You believe in what we're building. Not hype, conviction. You see the opportunity in what we're doing and you want to be part of finishing it.

You have fun. We stay human when times are hard. The task is daunting, but we're all in it together.

What You'll Do

Build and train models that real customers and real money depend on - pricing, automation, and decision systems in production
Work side-by-side with researchers and analysts to turn prototypes into clean, testable, production-ready code and systems
Own model pipelines end-to-end: data ingestion, training, validation, versioning, deployment, and monitoring
Design, build, and evolve mission-critical services and APIs that connect to real-world, messy operations
Build the platform that accelerates the full ML lifecycle: agentic research, automated retraining, experimentation, deployment, monitoring
Proactively tackle real-world challenges like sparsity, data drift, and model decay in a volatile market
Use AI tools daily and help push them further than anyone else in the industry
Lead technical design reviews, mentor teammates, and raise the bar on everything around you

Qualifications

Senior-level or above: deep experience shipping and operating production ML systems, ML-adjacent services, or data/ML platforms
Strong fundamentals in Python; comfortable picking up new ones
Proficiency with statistics and ability to reason distributionally; has put it to work with real-world monitoring of ML systems
Expertise with the end-to-end ML lifecycle (training, evaluation, deployment, monitoring, and iteration) and associated tooling (e.g. MLflow, Airflow, Spark, Delta Lake)
Demonstrated ability to make and communicate design decisions and tradeoffs across stakeholders
Based in or willing to relocate to Miami, Toronto, or Seattle

Nice to Have

ML systems experience in business-critical domains: pricing, forecasting, logistics, marketplaces, risk
Streaming and event-driven systems (e.g. Kafka), gRPC, Redis, or workflow engines
Interest in real estate or other messy, high-stakes domains with imperfect data

Interview Process

We Move Fast. Typically:

Recruiter phone screen (15 min)
A 60 minute technical deep dive to understand a past problem or project you've worked on
Two 60 minute pairing-style technical reviews

We're not running these to see if you can finish a problem under pressure. We want to know what it's like to work with you. Before each interview you'll receive an email on what to expect.

Not a perfect fit on paper but clearly excellent? Apply anyway and tell us why in your cover letter. We value T-shaped people. If you have deep expertise in an adjacent area and a strong point of view on how it applies here, that's exactly who we want to talk to.

About Opendoor

At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership, giving people the freedom to buy and sell on their own terms. We've built an end-to-end online experience that has already helped thousands of people - and we're just getting started.

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More about this job

Responsibilities

Build and train production-ready machine learning models for pricing, automation, and decision-making systems. Own the end-to-end ML lifecycle including data ingestion, training, deployment, and monitoring of mission-critical services.

Requirements

Senior-level experience shipping production ML systems with strong fundamentals in Python and statistics. Must have expertise in the end-to-end ML lifecycle and be able to communicate technical tradeoffs to stakeholders.

Skills

Machine Learning
Python
Statistics
ML Lifecycle
MLflow
Airflow
Spark
Delta Lake
Model Deployment
Model Monitoring
Data Ingestion
API Design
Distributed Systems
Kafka
gRPC
Redis

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Python
Statistics
MLflow
Airflow
Spark
Delta Lake
Kafka
gRPC
Redis
Model Training
Model Deployment
Data Drift
Model Decay
Distributed Systems
API Design
Real Estate Technology
Decision Optimization
Automation
Data Ingestion

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