Staff Software Engineer, Affirm
Backend, Machine Learning Platform
$200-275k
Salary range dependent on candidate location. Plus equity and ESPP
POS installment loans
Be an early applicant
POS installment loans
1001+ employees
Be an early applicant
$200-275k
Salary range dependent on candidate location. Plus equity and ESPP
1001+ employees
Company mission
To deliver honest and transparent financial products that improve users' lives.
Role
Who you are
- You have 8+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin
- You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes
- You have experience building and operating online, real-time ML infrastructure like a model server or a feature store
- You have experience developing an offline environment for large scale data analysis and model training using technologies like Spark, Kubeflow, Ray, and Airflow
- 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
- 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
- Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers
- You have strong verbal and written communication skills that support effective collaboration with our global engineering team
- This position requires either equivalent practical experience or a Bachelor’s degree in a related field
What the job involves
- The ML Platform team is on a mission to build the core infrastructure that powers Affirm's intelligence
- Affirm uses machine learning to assess and approve each BNPL transaction
- Affirm’s ML models answer questions like: is the applicant willing and able to repay this loan?
- The role of the ML Platform team is to build the compute platform for training and serving all of Affirm's ML models and features
- Online, we operate a feature store and model server that enable real-time feature computation and model scoring
- Offline, we manage an environment for running large scale model training and data analysis
- 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 ML development lifecycle by collaborating with machine learning engineers, platform engineers, and product management 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, 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
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
Few candidates hear
back within 2 weeks
-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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