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Added 2 hours ago
M
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to join the Workforce Management product stream and build enterprise-scale solution supporting forecasting, capacity planning, scheduling,…
Added 9 hours ago
TC
DevSecOps Engineer
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 11 hours ago
TC
Production Support Engineer
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 11 hours ago
TC
Sr. IFRS17 Data Engineer
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 1 day ago
A
Senior Python Developer
Ampliwork
Brossard, QC
- Full-time
…ownership of solutions - from architecture and development through deployment, testing, client interaction, and ongoing…
Added 1 day ago
A
Senior Python Developer
Ampliwork
Montreal, QC
- Full-time
…ownership of solutions - from architecture and development through deployment, testing, client interaction, and ongoing…
Added 1 day ago
S
Platform Software Engineer - Fintech
SweetTech
Montreal, QC
- Full-time
…reusable products. We are looking for a hands-on Platform Software Engineer to make those capabilities reliable, secure, and straightforward for engineers and AI agents to…
Added 1 day ago
E
Principal Software Engineer
EngRadar
Kitamaat 2, BC
- Full-time
As a Principal Software Engineer on Conga’s B2B Platform Engineering, Core Services team, you’ll own the security, identity, and access management capabilities that every Conga B2B product…
Added 2 days ago
RB
Lead Full Stack Developer
Royal Bank of Canada
Toronto, ON
- Full-time
A Lead Full Stack Developer is responsible for designing, developing and maintaining legacy and "Cloud First" applications written primarily in C# and focused on .Net Core and cloud…
Added 2 days ago
HA
Senior Software Engineer
H2 Analytics
Remote, Canada
- $120,000 to $170,000 CAD / year
- Full-time
- Remote
You are a well-rounded senior software engineer with at least 6 years of experience building complex web applications and backend services as a full-stack engineer, with a minimum of 2…
Added 2 days ago
TC
Data AI Engineer
Tata Consultancy Services
Mississauga, ON
- $100,000 to $130,000 CAD / year
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 2 days ago
Software Engineer I
Fivetran
Toronto, ON
Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Software Engineer I enthusiastic to join our fast-growing company.
Added 2 days ago
R
Senior AI Native Software Engineer, Identity & Trust
Remitly
Burnaby, BC
- Full-time
As a Senior AI Native Software Engineer, you direct AI agents to build products and solutions, rather than writing code directly. You leverage AI coding agents to replace manual tasks,…
Added 2 days ago
R
AI Native Software Engineer II, Identity & Trust
Remitly
Burnaby, BC
- Full-time
As a AI Native Software Engineer II, you direct AI agents to build products and solutions, rather than writing code directly. You leverage AI coding agents to replace manual tasks, build…
Added 2 days ago
AS
Full Stack Engineer
Axelon Services Corporation
Montreal, QC
- $65.52 USD / hour
- Other
Strong full-stack development experience with Angular and TypeScript, Java and Spring Boot, RESTful APIs, distributed systems, and secure application design.
Added 2 days ago
C
Engineer (Python/AWS + Azure/React) (Senior/NewGrad)
Caddie
Toronto, ON
- Full-time
Hybrid (preferably in Toronto) · Full-time · North American Eastern Time
Added 2 days ago
AT
AI Engineer
Altitude Technology Solutions Inc
Toronto, ON
- Contract
Integrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook execution, remediation, and…
Added 2 days ago
B
Software Engineer - Identity & Authorization
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
Comfort working across the full stack, from product and application code to cloud and Kubernetes infrastructure.
Added 2 days ago
B
Software Engineer - Identity & Authorization
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
Comfort working across the full stack, from product and application code to cloud and Kubernetes infrastructure.
Added 2 days ago
TS
Analyst – Front Office Application Engineer
TD Securities
Toronto, ON
- Full-time
A strong focus on user experience, application design, and full-stack development is essential. The successful candidate should enjoy building intuitive tools that users rely on every day…
Added 3 days ago
S
Senior Full Stack Gen AI Engineer/Technical Engagement Manager
Straive
Calgary, AB
- Full-time
We are seeking a Senior Full Stack AI Engineer who can combine strong hands-on software engineering with technical engagement and project delivery leadership. The successful candidate will…
Added 3 days ago
Machine Learning Engineer
Opendoor
Toronto, ON
Build the platform that accelerates the full ML lifecycle: agentic research, automated retraining, experimentation, deployment, monitoring
Added 3 days ago
CL
Full Stack Developer
Clover Labs AI
Remote, Canada
- $75,000 to $110,000 CAD / year
- Contract
- Remote
We're looking for an engineer who's excited about building systems that live at the edge of automation, AI, and web security. You'll thrive here if you're eager to learn, unafraid to dig…
Added 3 days ago
B
Senior Software Engineer
BCI
Victoria, BC · Vancouver, BC · CA Victoria
- Full-time
Reporting to the Senior Manager, Technology Solutions (Private Equity), the Senior Software Engineer designs and delivers end-to-end, full stack solutions for the business, from production…
Added 3 days ago
B
Senior Software Engineer
BCI
Victoria, BC
- $106,000 to $128,000 CAD / year
- Full-time
Reporting to the Senior Manager, Technology Solutions (Private Equity), the Senior Software Engineer designs and delivers end-to-end, full stack solutions for the business, from production…

Opendoor

Machine Learning Engineer

Toronto, ON, Canada

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Job details

Posting language: English
Posted: Jul 20, 2026

Original job description

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

You will build and train production-grade machine learning models for pricing, risk, and decision optimization while owning the end-to-end ML lifecycle. You will also design scalable services and platforms that accelerate model experimentation, deployment, and monitoring in a high-stakes environment.

Requirements

Candidates must have senior-level experience in shipping and operating production ML systems with strong Python fundamentals and statistical reasoning. Expertise in the end-to-end ML lifecycle and the ability to work in-person in Miami, Toronto, or Seattle is required.

Skills

Python
Machine Learning
Data Engineering
Model Deployment
Statistics
Distributed Systems
MLOps
MLflow
Airflow
Spark
Delta Lake
Kafka
gRPC
Redis
System Architecture
Data Modeling

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Python
MLOps
Pricing Models
Risk Management
Decision Optimization
Real Estate
Data Pipelines
Model Training
Model Monitoring
Distributed Systems
MLflow
Airflow
Spark
Delta Lake
Kafka
gRPC
Redis
API Design
Statistics
Data Drift
Model Decay
Automation
Software Engineering
Architecture
Production Systems
Agile
Technical Design
Mentorship
Marketplaces

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