Skills & Technologies
Requirements
- Experience
- 8+ years
- Education
- Bachelor's degree
Benefits
Joblaze summary
In the role of Machine Learning Engineering Manager at Affirm, the individual will oversee a team focused on developing advanced machine learning solutions for underwriting, leveraging data to enhance decision-making processes. Key skills include expertise in machine learning techniques such as deep learning and tree-based models, along with strong engineering capabilities for hands-on leadership. This position is ideal for someone with significant industry experience and a background in managing technical teams. Affirm's emphasis on innovation and collaboration across departments highlights its commitment to shaping the future of credit.
Joblaze insights
- Listed about a month ago on Joblaze — tracked directly from Affirm's career page.
- Affirm has 163 other open roles including Manager, Machine Learning Engineering (Repayment & Recovery), Product Marketing Manager, Manager, Software Engineering (Reliability Platform).
- 1689 active AI/ML roles on Joblaze right now.
- 41 active Deep Learning roles on Joblaze right now.
- 33 active Transformers roles on Joblaze right now.
- Salary band is in line with the typical range for AI/ML roles (median ~$187,000).
Quick facts
- Is the Manager, Machine Learning Engineering (Underwriting) role remote?
- Yes — Affirm lists this as a fully remote position.
- What's the salary range?
- Affirm lists $178,000–$228,000 for this role.
- How much experience is required?
- At least 8 years of relevant experience for this Manager, Machine Learning Engineering (Underwriting) role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: agentic ML, tree-based models, AI/ML, Transformers, Deep Learning.
- What seniority level is this role?
- Affirm targets lead candidates for this position.
- Is this full-time or contract?
- Full-time for this Manager, Machine Learning Engineering (Underwriting) role at Affirm.
From the original posting
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
Join Affirm as a Machine Learning Engineering Manager and become a pivotal part of our innovative underwriting machine learning group. Specifically, you will manage a team of ML engineers that builds our economic decisioning engine, using novel ML techniques and rich representations of data to underwrite and optimize applications based on expected returns, lifetime value, and predicted conversion.
In this role, you will help shape the future of machine learning at Affirm. You’ll partner with engineering, product, and risk leaders to design, implement, and scale advanced ML solutions that drive critical capabilities across the company. You will mentor engineers, bring clarity to complex, ambiguous problems, and contribute to a cohesive long-term ML strategy.
What you’ll do
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Set the technical strategy for your team, and help your engineers tie it together with critical, business-impacting projects.
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Act as a force-multiplier through your definition and advocacy of technical solutions and operational processes.
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Collaborate across teams in the product development lifecycle by partnering with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed.
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Develop talent 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, including 3+ years managing engineers
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Proficiency in machine learning with experience in areas including tree-based models, transformers, deep learning, and agentic ML.
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Strong engineering skills and the ability to provide hands-on technical leadership while working with our code and architecture
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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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This position requires either equivalent practical experience or a Bachelor’s degree in a related field.
Pay Grade - P
Equity Grade - 7
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: $181,000 - $241,000
Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.
We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:
- Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
- Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
- Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
- ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount
We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
[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.
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