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Added 13 days ago
Principal Software Engineer
Morningstar
Toronto, ON
Full-time
As a Principal Software Engineer on our Data Feed Platform team (Direct – Data & Research), you will partner with product owners and engineering teams to shape the technical direction of…
Added 1 month ago
Senior Software Engineer
Terminal
Canada
Contract
Deep experience working as a Senior Software Engineer within large, tech-native companies or enterprise organizations. Proven familiarity with heavy software processes, including strict…
Added 1 month ago
Senior Machine Learning Engineer, Causal & Decision Systems
CSC Generation
Toronto, ON
Full-time
…omnichannel retail. We acquire iconic brands and transform them with Genesis, our operating platform combining a Data Fabric, Automation Engine, proprietary tools, and shared services to…
Added 1 month ago
Senior Support Engineer - Toronto
OpenAI
Remote, Canada
Full-time · Remote
We are looking for a Senior Support Engineer to collaborate directly with our strategic enterprise accounts and product teams, helping solve some of the most difficult problems faced by our…
Added 1 month ago
Senior Simulation Engineer
Eavor
AB · Calgary, Alberta
Full-time
Eavor Technologies Inc. is seeking a Senior Simulation Engineer to advance its physics-based simulation capability supporting Jules, Eavor’s next-generation geothermal drilling system. The…
Added 11 days ago
Senior Site Reliability Engineer
2K
Burnaby, BC
The Senior SRE at 2K is a hands-on technical leader - shaping production infrastructure across multiple clouds and regions while partnering with network engineers, systems architects, and…
Added 1 month ago
Senior Back End Engineer
Stellar Creative Lab
Vancouver, BC
$130,000 to $150,000 CAD / year
Full-time
We are looking for a Senior Backend Engineer to architect and build the robust backend platform that transforms Slingshot GenAI software from an internal prototype into a professional,…
Added 1 month ago
Senior Site Reliability Engineer
Jobber
Remote, Canada
Full-time · Remote
Reporting to the Manager, Software Engineering, the Senior Site Reliability Engineer will collaborate with the cloud infrastructure team to build and maintain a cutting-edge product that…
Added 12 days ago
Senior Security Engineer, Device/Hardware
Motive
Vancouver, BC
Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance…
Added 1 month ago
Intermediate to Senior Autonomy Engineer
MACLEAN ENGINEERING & MARKETING CO. LIMITED
Barrie, ON
$77,000 to $120,000 CAD / year
Full-time
MacLean Engineering is looking to add two skilled and experienced Intermediate to Senior Autonomy Engineers to join our growing team in Barrie and Cambridge, Ontario. This is a great…
Added 1 month ago
Senior Full Stack Engineer
UST
Toronto, ON
Full-time
UST is searching for a Senior Full Stack Engineer with strong Front End expertise to help build and scale high‑impact digital platforms used by millions of users. This is an opportunity to…
Added 1 month ago
Senior Software Engineer, AI Inference Systems
NVIDIA
Toronto, ON · Canada, Toronto
Full-time
Strong programming skills in Python and C/C++; experience with Go or Rust is a plus; solid CS fundamentals: algorithms & data structures, operating systems, computer architecture, parallel…
Added 27 days ago
Software Engineer II - Agentic AI Foundations
Socure
Toronto, ON
$135,000 to $175,000 CAD / year
Full-time
…software workflows to agent-native operations. As a Software Engineer II on the team, you will help design, build, and harden a secure, evaluable, vendor-agnostic agent platform that teams…
Added 1 month ago
Senior/Staff Software Engineer
Senpilot
Toronto, ON
Full-time
We're looking for a senior engineer to build and own AI-powered product features end to end, from schema and API design through to shipping in production and iterating on real usage. You’ll…
Added 1 month ago
Senior Back End Engineer (Data Platform)
Forma.ai
Toronto, ON
Full-time
As a Senior Engineer, Data Platform, you are expected to operate with strong ownership and sound technical judgment. This includes identifying risks in the work you own, surfacing edge…
Added 1 month ago
Senior/Staff Applied AI Engineer
Tali AI
Toronto, ON
Full-time
Tali AI is one of the fastest-growing startups in Canada, on a mission to make healthcare more accessible with AI. We're building the clinical operating system: an ambient AI scribe, a…
Added 1 month ago
Senior AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
As an AI Engineer in Agent Factory, you’ll design and build the core ML systems behind Workday’s next generation of AI agents. Working within a small, senior, cross-functional pod, you’ll…
Added 17 days ago
Senior Software Engineer - Metadata
Fivetran
ON
We're looking for a senior software engineer to join our Metadata team, which owns the metadata layer of the dbt platform - the discovery API, catalog, lineage, and run history services…
Added 1 month ago
Senior Software Engineer - Database
VAST Data
Vancouver, BC
Full-time
VAST Data is looking for a Senior Software Engineer to join our growing team!
Added 1 month ago
Senior Substation Electrical Engineer 1 - Grid
Sargent & Lundy
Calgary, AB
Full-time
This position offers you the opportunity to work in a project team environment with other engineers and designers involved in the detailed electrical design and project management of high…
Added 1 month ago
Senior Software Engineer, Data Engineering
NationGraph
Toronto, ON
$150,000 to $200,000 CAD / year
Full-time
This is real data engineering, not dashboard plumbing. You'll build high-volume interaction and ingestion pipelines with retries, dead-letter handling, checkpointing, and resumability; turn…
Added 1 month ago
Full Stack Engineer
Structurely
Canada
Full-time
We need a senior backend engineer with high agency to own and evolve our backend services. You’ll build reliable, scalable systems that support real-time, high-throughput workloads…
Added 1 month ago
Senior DevOps Engineer
DataStealth
Mississauga, ON
Full-time
We are looking for a skilled DevOps Engineer to join our team and help streamline software delivery, infrastructure management, and system reliability. You will work closely with the rest…
Added 1 month ago
Lead Substation Engineer 1 - Grid
Sargent & Lundy
Calgary, AB
Full-time
Guide junior and senior-level engineers and designers in protection and controls engineering design efforts, including providing guidance with the coordination of detailed design phases for…
Added 1 month ago
Senior Software Engineer - Brokerage Platform
moomoo
Remote, Canada
Full-time · Remote
We are looking for an experienced Senior Software Engineer to join our engineering team in Toronto.

CSC Generation

Senior Machine Learning Engineer, Causal & Decision Systems

Toronto, ON, Canada

Job type: Full-time
Posting language: English
Posted: Aug 15, 2026

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Original job description

CSC Generation is the AI-native holding company re-engineering omnichannel retail. We acquire iconic brands and transform them with Genesis, our operating platform combining a Data Fabric, Automation Engine, proprietary tools, and shared services to modernize operations, elevate customer experience, and expand margins. With $1B+ in revenue across 13 brands, our portfolio includes Sur La Table, Backcountry, One Kings Lane, and others that serve as real-world innovation labs.

Reports to: CTO

Location: Hybrid- Toronto, ON

\nAbout the Role

CSC Generation is building closed-loop decision systems that use machine learning to operate consumer businesses more intelligently. We are starting with pricing and expanding into areas such as inventory, purchasing, promotions, marketing, and assortment.

You will help build systems that estimate causal response and quantify uncertainty, choose actions, generate useful information, observe outcomes, update policies, evaluate challengers, and deploy within guardrails.

We want to answer questions such as:

What happens because we change a price, rather than simply what happens next?
How should uncertainty affect a decision?
When should the system exploit what it knows versus experiment to learn?
Can we estimate the value of a challenger policy before fully deploying it?
How do we optimize economic outcomes while respecting inventory, margin, vendor, customer, and operational constraints?

What You'll Do

Depending on your background, you may work across:

Causal and heterogeneous treatment-effect modeling
Uncertainty estimation and calibration
Contextual bandits, active learning, or sequential decision-making
Policy learning and constrained optimization
Counterfactual and off-policy evaluation
Experimentation and champion/challenger systems
Production ML infrastructure, monitoring, and automated deployment

We care about selecting the right method, not using a particular framework.

What Success Looks Like

Success is not a better offline metric.

The systems you build should produce measurable economic lift in controlled experiments, generalize across businesses, learn from their own interventions, and safely automate an increasing share of real commercial decisions.

Over time, the goal is simple:

the system should become better at operating the business because it has operated the business.

What We're Looking For

We care more about exceptional technical ability and judgment than matching a checklist. Strong candidates will have experience in several of:

Machine learning and statistical modeling
Causal inference and experimentation
Recommendation, advertising, pricing, marketplace, credit, or other decision systems
Bandits, reinforcement learning, optimization, or active learning
Uncertainty estimation
Counterfactual evaluation
Production ML systems
Python, SQL, and large behavioral datasets

Why This Role Is Different

Most ML systems learn from a dataset. Here, the decisions made by the model influence the data the model sees next. That creates a continuous loop: decision, intervention, outcome, learning, better decision.

The long-term opportunity is to build that capability once and apply it across a portfolio of businesses and increasingly broad commercial decisions.

Real-world impact. The systems you build will run live commercial decisions across a portfolio of consumer brands, so you will see measurable economic outcomes from your work, not just offline benchmark improvements.
Technical growth at the frontier. Causal decision systems that learn from their own interventions are still an open problem. You will work at the intersection of causal ML, bandit algorithms, and production engineering, with the latitude to choose the right method for the problem.
Full ownership. You will own problems end to end, from framing and modeling through production deployment and evaluation.
Competitive benefits. Comprehensive health, dental, and vision coverage; RRSP matching; paid time off; and access to cross-brand employee discounts across the CSC Generation portfolio.

Interview Process

Recruiter Screen: A conversation with our recruiting team to cover your background, the role, and mutual fit.
Virtual Interview Rounds: Focused discussion with the hiring manager & deeper conversations with cross-functional engineering and data science collaborators covering technical depth, system design, and working style.
In-Person Interview: A final on-site visit at our Toronto office to meet the broader team and connect with key stakeholders.
Reference Checks: Conducted in parallel with the final stages where possible.
Offer: We move quickly for the right candidate.

Interview process is subject to change. Any updates will be shared promptly and clearly.

Please Note

Part of our interview process is a mandatory in-person interview with someone on our team prior to an offer. Candidates that are unwilling or unable to meet for an in-person interview will be removed from consideration immediately.
Due to a high volume of fraudulent applications, you must share a valid LinkedIn profile URL in the application questions below to be considered. If you do not have a LinkedIn profile, you must provide a credible reason in that field and supply alternative evidence of your professional background to verify your identity.

CSC Generation is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.

The CSC Generation family of brands is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact [email protected].

For Ontario applicants, please note that this posting is for an existing vacancy.

CSC Generation will conduct an exhaustive background check including verifying dates of employment directly with your former employer.

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More about this job

Responsibilities

You will build closed-loop decision systems that estimate causal responses and quantify uncertainty to automate commercial decisions. The role involves developing models for pricing, inventory, and marketing while ensuring systems learn from their own interventions.

Requirements

Strong candidates should have exceptional technical ability in machine learning, causal inference, and statistical modeling. Experience with production ML systems, Python, SQL, and decision-making frameworks like bandits or reinforcement learning is highly valued.

Skills

Machine learning
Causal inference
Statistical modeling
Python
SQL
Reinforcement learning
Bandits
Optimization
Uncertainty estimation
Counterfactual evaluation
Production ML systems
Active learning
Constrained optimization
Experimentation
Policy learning

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Causal Inference
Decision Systems
Pricing
Inventory Management
Python
SQL
Reinforcement Learning
Bandits
Active Learning
Optimization
Counterfactual Evaluation
Uncertainty Estimation
Production ML
Automated Deployment
Heterogeneous Treatment-Effect Modeling
Policy Learning
Experimentation
Data Science
Statistical Modeling

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