Develop high-quality machine learning models to shape Affirm's financial landscape in a fully remote role.
Posted by employer 1 day ago
First seen on Joblaze 58 minutes ago
Last verified on the company career page 58 minutes ago
Skills & Technologies
What you'll build
- Develop machine learning models that predict default likelihood
- Build model training, decisioning, and monitoring systems
- Research solutions and develop prototypes for credit decisioning
- Implement and scale data pipelines and algorithms
- Collaborate with teams to define product requirements
Must have
- 2+ years of experience as a machine learning engineer
- Proficiency in machine learning techniques
- Strong engineering skills in Python
- Experience with large scale distributed systems
- Excellent communication skills
Nice to have
- Domain knowledge in credit risk
Practical constraints
- Open only to candidates residing in specific Canadian provinces
Requirements
- Experience
- 2+ years
- Education
- PhD
- Visa
- No sponsorship (stated in posting)
Benefits
Joblaze summary
In this role, the Machine Learning Engineer II at Affirm focuses on developing and implementing machine learning models that assess credit risk and inform decision-making processes. Key skills include proficiency in Python, experience with large-scale distributed systems like Spark, and familiarity with machine learning frameworks such as scikit-learn and XGBoost. This position is suited for candidates with at least two years of experience or a relevant PhD, particularly those with a background in credit risk. Affirm operates as a remote-first company, emphasizing flexibility and collaboration across teams.
Joblaze insights
- Listed today — first seen on Joblaze October 18, 2026. Last confirmed on Affirm's careers page October 18, 2026.
- Starts above 8% of 239 comparable mid ai/ml roles we track (median $150,000 across 83 companies).
Quick facts
- Is the Machine Learning Engineer II (ROA + LTV ML) role remote?
- Yes — Affirm lists this as a fully remote position.
- What's the salary range?
- Affirm lists CAD 133,000–CAD 183,000 for this role.
- How much experience is required?
- At least 2 years of relevant experience for this Machine Learning Engineer II (ROA + LTV ML) role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Kubeflow, Numpy, Python, Ray, SQL, Spark.
- What seniority level is this role?
- Affirm targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Machine Learning Engineer II (ROA + LTV ML) role at Affirm.
From the original posting
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
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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
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Partner with platform and product engineering teams to build model training, decisioning, and monitoring systems
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Research ground breaking solutions and develop prototypes that drive the future of credit decisioning at Affirm
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Implement and scale data pipelines, new features, and algorithms that are essential to our production models
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Collaborate with the engineering, credit, and product teams to define requirements for new products
What we look for
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2+ years of experience as a machine learning engineer or PhD in a relevant field
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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
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Strong engineering skills in Python and data manipulation skills like SQL
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Experience using large scale distributed systems like Spark or Ray
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Experience using open source projects and software such as scikit-learn, pandas, NumPy, XGBoost, Kubeflow
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Experience developing machine learning models at scale from inception to business impact
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Excellent written and oral communication skills and the capability to drive cross-functional requirements with product and engineering teams
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The ability to present technical concepts and results in an audience-appropriate way
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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
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.
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.
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Standard company text repeated across Affirm's postings is omitted here.