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Machine Learning Engineer II (ROA + LTV ML)

Affirm

LocationCanada
SeniorityMid-level (Machine Learning Engineer II)
CompanyAffirm
Verified recentlyChecked today
Compensation

$133k-$183k

Salary details are shown when available from the source listing. Sign in before applying so the role can be reviewed against your resume, salary goals, seniority, timezone, and location eligibility.

Requirements and working style

Decision details from the source listing

Experience

2+ years stated

Education

Relevant PhD is an alternative to the stated experience requirement.

Work authorization

Must reside in one of the listed Canadian provinces.

Schedule

unspecified

Required overlap

unspecified

Benefits stated
100% subsidized medical coverage for employees and dependentsDental and vision coverageMonthly tech, health, and wellness spending stipendsFlexible time off and generous holiday calendarsEmployee stock purchase plan

These fields are normalized from the employer's text. Confirm details on the employer site before applying.

WFH.team analysis

What this posting tells you

Affirm is hiring a remote Machine Learning Engineer II for credit decisioning and related machine learning systems. The role requires 2+ years of relevant experience or a relevant PhD, strong Python and SQL skills, and experience with distributed systems and production ML. The listing states a CAN base pay range of $133,000–$183,000, but does not identify the currency, so a USD salary is not reported.

Role lane

Backend, Customer success, Data, Finance and investments, Healthcare admin, Legal, Operations, Product, Security, Software, Customer support

Where you can work

Canada

Working hours

Timezone overlap is not stated.

Arrangement

Mid-level (Machine Learning Engineer II) · full_time

Required signals
Machine learningPythonSQLDistributed systems (such as Spark or Ray)Building and scaling machine learning models from inception to business impactData pipelines and feature development
Preferred signals
Credit risk domain knowledgeGeneralized linear modelsGradient boostingDeep learningProbabilistic calibrationscikit-learnpandasNumPyXGBoostKubeflow
Confirm before applying
  • Required timezone overlap is not stated
Market context

Backend hiring on WFH.team

4,176active related roles
1,265new in the latest period
180.1jobs per 100 candidates
$186kmedian of comparable listed ranges

This role's listed pay is below the median among 200 comparable roles shown here. Category counts come from WFH.team's latest published remote job market snapshot.

Explore the remote job market
Skills and signals
Machine learningPythonSQLDistributed systems (such as Spark or Ray)Building and scaling machine learning models from inception to business impactData pipelines and feature developmentCredit risk domain knowledgeGeneralized linear modelsGradient boostingDeep learningProbabilistic calibrationscikit-learnpandasNumPyXGBoostKubeflowRemote within Canada; candidates must reside in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Lab
Job description

Machine Learning Engineer II (ROA + LTV ML) at Affirm

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.

As a Machine Learning Engineer on our team, you will be at the forefront of developing high-quality, production-ready models that play a central role in our decision-making processes. Your contributions will be instrumental in shaping our financial landscape. If you have a strong interest in machine learning and enjoy challenging work, Affirm is the place for you!

What you'll do

  • Use Affirm’s proprietary and other third party data to develop machine learning models that predict the likelihood of default and make an approval or decline decision to achieve business objectives
  • Partner with platform and product engineering teams to build model training, decisioning, and monitoring systems
  • Research ground breaking solutions and develop prototypes that drive the future of credit decisioning at Affirm
  • Implement and scale data pipelines, new features, and algorithms that are essential to our production models
  • Collaborate with the engineering, credit, and product teams to define requirements for new products

What we look for

  • 2+ years of experience as a machine learning engineer or PhD in a relevant field
  • Proficiency in machine learning with experience in areas such as Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration. Domain knowledge in credit risk is a plus
  • Strong engineering skills in Python and data manipulation skills like SQL
  • Experience using large scale distributed systems like Spark or Ray
  • Experience using open source projects and software such as scikit-learn, pandas, NumPy, XGBoost, Kubeflow
  • Experience developing machine learning models at scale from inception to business impact
  • Excellent written and oral communication skills and the capability to drive cross-functional requirements with product and engineering teams
  • The ability to present technical concepts and results in an audience-appropriate way
  • Persistence, patience and a strong sense of responsibility – we build the decision making that enables consumers and partners to place their trust in Affirm!

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: $133,000 - $183,000

Location - Remote Canada

This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan.

#LI-Remote

Remote-first with flexibility built in

Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.

Benefits designed for you

Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:

  • Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
  • Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
  • Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
  • Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.

We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.

For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.

By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Company context

Working remotely at Affirm

We’re excited to announce that Affirm is now a remote-first company!

Headquarters
United States, Poland, and Canada
Team size
1001-5000
Founded
2012
Remote policy

Affirm is described as operating on a remote-first model.

Application process

Review current openings on Affirm's official careers page before applying.

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