Manager, Machine Learning Engineering (Portfolio ML)
The Portfolio ML team manages and optimizes the flow of loan opportunities across Affirm-owned and operated properties. We are hiring a manager for the Offer Personalization subteam, which is responsible for ensuring our merchants offer the optimal set of financing programs for customers and that Affirm shows personalized offers tailored to our users.
We build models, tools, and libraries to support portfolio management actions that balance unit economics, product growth, and user experience. We power ROA-based decisioning; real-time and offline conversion rate prediction; counterfactual portfolio simulation; and the valuation of loans. We sit within the Decisions Foundations org.
What You’ll Do
- You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects.
- You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed.
- You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes.
- You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, polcities, testing and alerting in place to support “keep the lights on” & on-call efforts.
- You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
- You will help develop talent on your team by providing feedback and guidance, and leading by example.
What We Look For
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Bachelors in a technical field with 8+ years of industry experience. Relevant PhD can count for up to 2 YOE.
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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, portfolio management, learning to rank, and personalization is a plus
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Strong engineering skills in Python and data manipulation skills like SQL
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You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others.
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You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work.
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Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers.
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You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
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This position requires either equivalent practical experience or a Bachelor’s degree in a related field.
Pay Grade - P
Equity Grade - 13
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 equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA base pay range (CA, WA, NY, NJ, CT) per year: $225,000 - $275,000
USA base pay range (all other U.S. states) per year: $200,000 - $250,000
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