Manager of Machine Learning Engineering, Affirm
Repayment & Recovery
£142-190k
+ ESPP
Buy-now-pay-later card for online and in-store
Be an early applicant
Buy-now-pay-later card for online and in-store
1001+ employees
Be an early applicant
£142-190k
+ ESPP
1001+ employees
Company mission
To deliver honest and transparent financial products that improve users' lives.
Role
Who you are
- Bachelor's in a technical field with 8+ years of industry experience, including 3+ years managing engineers
- A background in financial services, specifically in credit / lending, with hands-on experience in post-origination modeling — collections, repayment, recovery, loss mitigation, early-warning or behavioural risk, or similar
- Proficiency in machine learning with experience in areas including tree-based models, transformers, deep learning, and agentic ML
- Strong engineering skills and the ability to provide hands-on technical leadership while working with our code and architecture
- 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
- This position requires either equivalent practical experience or a Bachelor's degree in a related field
What the job involves
- Join Affirm as a Machine Learning Engineering Manager and become a pivotal part of our Repayment & Recovery machine learning group
- Specifically, you will manage a team of ML engineers that builds the models powering the post-origination side of the credit lifecycle using novel ML techniques and rich representations of data to predict repayment behaviour, prioritise and personalise collections, and minimise loss after a loan is originated
- 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
- Set the technical strategy for your team, and help your engineers tie it together with critical, business-impacting projects across repayment, collections, recovery, and loss mitigation
- Act as a force-multiplier through your definition and advocacy of technical solutions and operational processes
- Collaborate across teams in the product development lifecycle by partnering with product management, design, analytics, and risk to ensure technical sustainability, risks and trade-offs are well understood and managed
- Develop talent by providing feedback and guidance, and leading by example
Our take
Affirm offers point-of-sale loans to consumers, working with merchants like Shopify, KAYAK, and Walmart. Buy now, pay later transactions have grown in popularity in recent years, and this business is tapping into the market with a totally different approach to credit - by delivering the Affirm card, the first US debit card with the option to pay-over-time.
Serving over 21 million consumers and over 300,000 merchants, the company offers flexible payback options ranging from 3 to 36 months. The interest rates run between 0% and 30%, so, while they are not necessarily the cheapest option, Affirm prides itself on having no fees for late payments, no hidden charges, and total transparency about what people will pay before they take out a loan.
Affirm collects payments from the customers and pays the merchants directly, shouldering the risk itself. The company has boosted its market share, expanding its availability beyond the US to include most of Canada, and continues to launch new features and create new partnerships towards bettering its offering.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-11% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Sep 2020
$500m
SERIES G
Apr 2019
$300m
SERIES F
Total funding: $1.1bn
Company benefits
- Compensation: We have a simple, flexible, and transparent remote-first compensation structure so you can make the best decisions for yourself and your family
- Spending Wallets: Access tech, food, lifestyle, and family planning wallets for your expenses
- Supportive Communities: Get involved with our employee resource groups and community groups
- Remote-first Workforce: If your role is remote, you can set up shop anywhere in your home country
- Generous Time Off: Take the time you need when life happens
- Health Benefits: Get a plan that fits your needs
- Mental Healthcare: Take care of your mind with great mental health programs
- Parental Leave: Birth and non-birth parents get 18 weeks’ paid leave. Plus, a 4-week return-to-work transition program, at full base pay
- Away Days: We offer 20 company-wide paid days off—which help our teams collectively pause to recharge
- Learning & Development: Engage in exciting learning programs to level up your growth
Company HQ
Chinatown, San Francisco, CA
Leadership
Max Levchin
(Co-Founder & CEO)Has founded/co-founded numerous companies, holding various executive positions at each, including Paypal, Slide, Glow, HVF Labs, and SciFi VC. Also worked at large brands including Google, Yelp, Yahoo, and Evernote.
Share this job
View 128 more jobs at Affirm