Machine Learning Engineer II (ROA + LTV ML)
Primary stack
Job description
About the Position
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.
We are looking for a Machine Learning Engineer II (ROA + LTV ML) to join our team. As a Machine Learning Engineer, 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!
Responsibilities
- 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 groundbreaking 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.
Requirements
- 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!
We Offer
- Competitive salary: CAN base pay range per year: $133,000 - $183,000.
- 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.
About the Company
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. We are proud to be a remote-first company, offering flexibility and a commitment to care, transparency, and flexibility in our benefits.
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.
© TheVentureCity. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
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