Software Engineer, Stripe
Machine Learning Infrastructure
$163.1-244.7k
More information about location
A financial infrastructure platform for businesses
Open for applications
A financial infrastructure platform for businesses
1001+ employees
Open for applications
$163.1-244.7k
More information about location
1001+ employees
Company mission
To increase the GDP of the internet
Role
Who you are
- 3-5 years of experience building software applications in large scale distributed systems
- A strong sense of curiosity and a desire to both learn and share knowledge with your peers. We like to work in a collaborative environment and hope you do too
- A solid engineering background and experience with infrastructure and/or distributed systems. You’ll work mostly in Python and Java but we care more about your general engineering skills than your knowledge of a specific language
- Familiarity with the full life cycle of software development, from design and implementation to testing and deployment
- Experience with building and maintaining high availability, low latency systems, especially with respect to reliability, testing, and observability
- A sense of pragmatism: you know when to aim for the ideal solution and when to adjust course
Desirable
- Over 2 years of experience supporting Machine Learning Infrastructure
- Experience optimizing the end-to-end performance of distributed systems
- Experience training and shipping machine learning models to production to solve critical business problems
What the job involves
- The Machine Learning Infrastructure group at Stripe aims to provide state of the art infrastructure and support for building and operationalizing AI/ML models for all business verticals within the company, including but not limited to models that mitigate risks across Stripe’s products and services globally, and models that help our customers to fight fraud by leveraging Stripe’s user facing products like Radar and Identity
- ML is a top priority for Stripe in the coming years
- With the phenomenal developments happening in the field of AI, we are positioned to accelerate the adoption of AI/ML across all parts of the company by building highly scalable and reliable foundational infrastructure
- You will work closely with machine learning engineers, data scientists, and platform infrastructure teams to build the powerful, flexible, and user-friendly systems that substantially increase ML-Ops velocity across the company
- Building powerful, flexible, and user-friendly infrastructure that powers all of ML at Stripe
- Designing and building fast, reliable services for ML model training and serving, and scaling that infrastructure across multiple regions
- Creating services and libraries that enable ML engineers at Stripe to seamlessly transition from experimentation to production across Stripe’s systems
- Pairing with product teams and ML engineers to develop easy-to-use infrastructure for production ML models
Our take
Stripe, nowadays a FinTech giant, spent the first few years since its founding building up its payments business, which primarily consisted of providing an API to eCommerce businesses so that they could easily integrate a payments option in their apps or websites, where before there was none.
More recently, Stripe has started to accelerate its growth with a significantly larger range of financial services including cash advances and credit cards. They also plan to build incorporation services, fraud protection, and more, diversifying its revenue away from payments and differentiating itself from its competitors.
To further expand its position, the company is looking to triple its presence in Ireland, and extend its services to countries with vast customer potential, including Brazil and India. Its latest venture, coming atop significant new funds, is to partner with OpenAI, the company behind ChatGPT - a win-win collaboration that will monetize OpenAI’s flagship products and at the same time enhance Stripe with GPT-4, as it moves forwards with intentions to "build the payments foundation for tomorrow's AI economy."
Freddie
Company Specialist at Welcome to the Jungle
Insights
Some candidates hear
back within 2 weeks
-5% employee growth in 12 months
Company
Funding (last 2 of 13 rounds)
Mar 2023
$6.5bn
GROWTH EQUITY VC
Mar 2021
$600m
SERIES H
Total funding: $8.7bn
Company benefits
- Unlimited paid time off policy
- Work from home opportunities
- Comprehensive mental, physical and medical health plans
- Fertility benefits and parental leave
Company values
- Built for builders - The best reason to work at Stripe is that you will have colleagues who support and challenge you to do the best work of your career. We combine a big-picture mindset with obsessive attention to the details, down to the last pixel, API parameter, and word.
- An environment of growth - We care about results more than CVs. We value managers who remain experts while developing talent and designing successful orgs. You can also have a big impact and advance far without managing anyone. We want you to take what you’ve been hired to do, and show us how it’s done – you might create something we never would have imagined. We have had account managers start a publishing arm, interns who have run business units, and hackathon participants who have built company-defining products.
- Fast-paced, detail oriented - We balance innovation with scrupulous attention to every bit and byte involved in the movement of money – because we can’t do our job well unless we do both. When we started, we emailed every API error to everyone at the company. Now, we have more than 250 million API requests a day – and we still care about each one.
- Voraciously curious - We wish there was a book that described what we need to do next (we’d even publish it), but since there isn’t, we all have to write it together. You will need to find answers to questions you’ve never been asked before. Sometimes, you will be the first person ever to contemplate a particular problem. We want people who devour books for fun and approach new challenges with eager curiosity.
Company HQ
SoMa, San Francisco, CA
Articles
Leadership
Patrick Collison
(Content Strategist)Studied maths at MIT before founding Stripe. Also on the board of the Long Now Foundation.
John Collison
(President)Studied at Harvard but dropped out to found Stripe.
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