Mississauga, On Machine learning software engineer ii Jobs – 19 Openings This Week

Machine Learning Engineer II (Servicing ML)
Affirm —Toronto, ON
- $123,000–$183,000 a year
- Remote
- Machine learning
- APIs
- Communication skills
- Employee stock purchase plan
- Dental care
Machine Learning Engineer II
TD Bank —Toronto, ON
- $154,000–$199,500 a year
- Full-time
- Computer science
- Azure
- Computer Science
- Paid time off
Machine Learning Software Engineer II
Royal Bank of Canada —Toronto, ON
- Full-time
- Research
- Machine learning
- AI
5d
Software Engineer II, Security Engineering
Okta —Toronto, ON
- $110,000–$151,800 a year
- Hybrid work
- Azure
- Computer Science
- CAD
- Dental care
- Paid time off
Software Engineer II (AI Integration)
TD Bank —Toronto, ON
- $96,000–$115,200 a year
- Full-time
- Azure
- Computer Science
- DevOps
- Paid time off
4d
Software Engineer II, Security Engineering (Auth0)
Okta —Toronto, ON
- $110,000–$151,800 a year
- Hybrid work
- Azure
- Computer Science
- Engineering
Quick apply
AI Developer II Intermediate
Intact —Toronto, ON
- $94,200–$115,200 a year
- Full-time
- Hybrid work
- Bilingual
- Computer Science
- Engineering
- Employee stock purchase plan
Software Development Engineer II, Ads Marketing Effectiveness & Intelligence
Amazon Development Centre Canada ULC —Toronto, ON
- $114,800–$191,800 a year
- Full-time
- Computer Science
- Master's degree
- Bachelor's
- Profit sharing
- Dental care
Software Engineering Lead
S&P Global —Toronto, ON
- $93,000–$151,038 a year
- Azure
- DevOps
- System design
- Paid time off
Software Design Engineering (Artificial Intelligence) Co-op Student
Martinrea International Inc. —Vaughan, ON
- $23–$26 an hour
- C++
- Linux
- Internship / Co-op
5d

Explore jobs in cities nearby

Check out jobs in cities near your current location, Columbus

Director, Technical Operations - Infrastructure
Accommodations Plus International —Markham, ON
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field; Master's degree or MBA preferred; equivalent experience will be…
$160,000–$180,000 a year
Quick apply

I want to receive the latest job alerts for machine learning software engineer ii in mississauga, on

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

machine learning software engineer ii jobs near mississauga, on

Senior Software Engineer jobs in Toronto, ON

Machine Learning Engineer jobs in Toronto, ON

Engineering Lead jobs in Toronto, ON

Ai Developer jobs in Toronto, ON

Software Engineer jobs in Toronto, ON

Senior Software Engineer jobs in Burlington, ON

Senior Software Engineer jobs in Ville De Québec, QC

Civil Engineer In Training jobs in Edmonton, AB

Senior Software Engineer jobs in Vaughan, ON

Sienna Senior Living jobs in Brampton, ON

Senior Software Engineer jobs in Sainte Anne De Bellevue, QC

Electrical Engineer jobs in Kelowna, BC

Senior Finance Manager jobs in Greater Toronto Area, ON

Machine Learning Engineer jobs in Burnaby, BC

Aerospace Engineer jobs in Vancouver, BC

Machine Learning Engineer jobs in Calgary, AB

Learning Strategist jobs in Ontario

Machine Learning Engineer jobs in Luxemburg, ON

Operating Engineer jobs in Ontario

Machine Learning Engineer jobs in University Of British Columbia (vancouver Campus), BC

Machine Learning Engineer II (Servicing ML)

Affirm -
Toronto, ON

Apply Now

Job details

$123,000–$183,000 a year

Qualifications

Law
Machine learning
APIs
Information processing
Model evaluation
Communication skills
Python
Debugging

Full job description

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

On the Servicing ML team, you will build and improve machine learning and AI systems that automate customer operations such as disputes, returns, fraud, and chargebacks to make the best decisions for Affirm and our customers. You will work closely with experienced ML engineers, platform partners, and cross-functional stakeholders to take models from idea to prototype to production, and to keep them healthy with strong measurement and monitoring.

What you'll do

You will develop AI systems that automate dispute and chargeback handling using structured evidence and business logic, creating a better experience for our customers.

You will build models that automate refunds, getting money back to our customers faster.

You will build and maintain evidence extraction pipelines that process unstructured data using LLM-powered workflows to produce structured, actionable outputs.

You will prototype new modeling ideas, run offline experiments, and drive the best-performing approaches into production with appropriate risk controls.

You will collaborate across Engineering, Servicing Operations, Product, and ML Platform to define requirements, evaluate tradeoffs, and communicate results clearly to both technical and non-technical audiences.

What we look for

You have a total of 2+ years of experience as a machine learning engineer

Strong Python skills and experience writing production-quality code

Experience building and evaluating models for tabular classification problems (preferably gradient-boosted decision trees like LightGBM/XGBoost/CatBoost).

Experience building applications with LLM APIs (e.g., OpenAI, Anthropic), including structured extraction, prompt engineering, and orchestration frameworks like LangChain or LangGraph.

Familiarity with document and unstructured data processing (PDF/image extraction, text parsing, or similar).

Experience with ML lifecycle tooling for training orchestration, experimentation, and model monitoring (e.g., Kubeflow, Airflow, MLflow, or equivalent internal platforms).

Proficient in using AI-powered developer tools (e.g., Claude Code, Cursor, or similar) to accelerate iteration, debugging, and code quality as part of day-to-day development workflows.

You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code.

You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews.

Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.

You have strong verbal and written communication skills that support effective collaboration with our global engineering team.

Pay Grade - L
Equity Grade - 5

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.

Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).

CAN base pay range per year: $123,000 - $183,000

Location - Remote Canada

#LI Remote

Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.

We're extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:

Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

We believe It's On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.

By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

Apply Now

Refine Your Search

machine learning software engineer ii jobs in mississauga, on

Machine Learning Engineer II (Servicing ML)

Machine Learning Engineer II

Machine Learning Software Engineer II

Software Engineer II, Security Engineering

Software Engineer II (AI Integration)

Software Engineer II, Security Engineering (Auth0)

AI Developer II Intermediate

Software Development Engineer II, Ads Marketing Effectiveness & Intelligence

Software Engineering Lead

Software Design Engineering (Artificial Intelligence) Co-op Student

Explore jobs in cities nearby

I want to receive the latest job alerts for machine learning software engineer ii in mississauga, on

Explore jobs in more locations

Job seeker tools

Employer Tools

Browse

Stay Connected