Published: Fri, 06 Jun 2025 04:50:24 GMT

Position Title: Staff Machine Learning Engineer

Company: Affirm

Location: Remote – US

Salary Range: $200,000 – $275,000 per year

Equity Grade: 13

Affirm is a company dedicated to reinventing credit and making it more transparent and consumer-friendly. We offer flexible payment options without hidden fees or interest.

As a Staff Machine Learning Engineer on our Portfolio ML team, you will be responsible for managing and optimizing loan opportunities across Affirm-owned properties. This includes building models, tools, and libraries to support portfolio management decisions that balance unit economics, product growth, and user experience. You will work within the Decisions Foundations org and collaborate with product management, design, and analytics teams to ensure technical sustainability and manage risks and trade-offs.

Key Responsibilities:

– Set technical strategy for your team on a year-long time scale and help tie it together with critical, business-impacting projects
– Collaborate with cross-functional teams throughout the product development lifecycle to ensure technical sustainability and manage risks and trade-offs
– Act as a force-multiplier for your team by defining and advocating for technical solutions and operational processes
– Take ownership of your team’s operations and availability by implementing monitoring, triage rotations, playbooks, policies, testing, and alerting
– Foster a culture of quality and ownership on your team by setting code review and design standards and advocating for them beyond your team through writing and tech talks
– Develop talent on your team by providing feedback and guidance and leading by example

Qualifications:

– Bachelor’s degree in a technical field with 8+ years of industry experience (relevant PhD can count for up to 2 years of experience)
– 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, portfolio management, learning to rank, and personalization is a plus
– Strong engineering skills in Python and data manipulation skills like SQL
– Experience delivering major features, system components, or deprecating existing functionality through technical and execution plans
– Ability to write high-quality code that is easily understood and used by others
– Comfortable working in ambiguity and understanding both low-level language idioms and the architecture of large systems
– Demonstrated ability to gather and iterate on feedback from engineering and cross-functional peers
– Strong verbal and written communication skills to effectively collaborate with our global engineering team

Benefits:

– Competitive base pay and equity rewards
– Monthly stipends for health, wellness, and tech spending
– 100% subsidized medical coverage, dental, and vision for you and your dependents
– Flexible spending wallets for technology, food, lifestyle needs, and family forming expenses
– Time off for vacation and holidays
– Employee stock purchase plan with a discount
– Inclusive interview experience for all, including people with disabilities
– Reasonable accommodations provided during the hiring process
– Affirm is an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status

[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.
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