Senior Machine Learning Engineer, Affirm
Portfolio ML
$169-240k
Salary dependent on geographical location of candidate + An employee stock purchase plan
POS installment loans
Be an early applicant
POS installment loans
1001+ employees
Be an early applicant
$169-240k
Salary dependent on geographical location of candidate + An employee stock purchase plan
1001+ employees
Company mission
To deliver honest and transparent financial products that improve users' lives.
Role
Who you are
- 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 using distributed systems like Spark or Ray is a plus
- Experience using open source projects and software such as scikit-learn, pandas, NumPy, XGBoost, Kubeflow
- 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!
What the job involves
- Affirm’s Portfolio ML team is looking for an exceptional machine learning engineer to build the next generation of credit opportunity management models
- Sitting at the intersection of credit policy and consumer product, this role will work within a highly cross-functional and diverse set of work-streams that contribute directly to profitability
- From choosing which users to engage for repeat, finding the optimal value propositions to present them, and owning unit economics libraries, the Portfolio ML team’s focus spans the entire customer lifecycle including re-engagement
- The team is relatively new and has a number of greenfield initiatives in its mandate, an exceptional group of ICs, and strong Product leaders in partnership
- Use Affirm’s proprietary and other third party data to develop machine learning models that manage and optimize the flow of loan opportunities across Affirm-owned and -operated properties
- Partner with platform and product engineering teams to build model training, decisioning, and monitoring systems
- Research ground breaking solutions and develop prototypes that drive the future of portfolio 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
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.
Boating over 15 million customers and 245,000+ 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
- Spending wallets
- Supportive communities
- Remote-first workforce
- Generous time off
- Health benefits
- Mental healthcare
- Birth and non-birth parents get 18 weeks’ paid leave. Plus, a 4-week return-to-work transition program, at full base pay
- We have a simple, flexible, and transparent remote-first compensation structure so you can make the best decisions for yourself and your family
- We offer 24 company-wide paid days off—which help our teams collectively pause to recharge
- Learning & development
Company values
- People Come First
- No Fine Print
- It's On Us
- Simpler is Better
- Push the Envelope
Company HQ
Chinatown, San Francisco, CA
Articles
Leadership
Max Levchin
(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.
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