Staff Machine Learning Engineer, Stripe
ML Foundations, Technical Leader
$254.6-538.4k
More information about location
A financial infrastructure platform for businesses
Job no longer available
A financial infrastructure platform for businesses
1001+ employees
Job no longer available
$254.6-538.4k
More information about location
1001+ employees
Company mission
To increase the GDP of the internet
Role
Who you are
- Minimum of 15+ years of ML engineering industry experience OR equivalent combined work experience reflecting domain expertise as relevant to this position
- PhD in a relevant field (computer science, machine learning, AI, statistics, physics, …)
- Strong understanding of machine learning approaches and algorithms: Deep Learning, LLM, Generative Models, NLP
- Demonstrated experience of leading company-wide initiatives spanning multiple teams and organizations OR leveraging deep domain expertise to influence tech roadmap planning and execution
- Demonstrated ability to effectively collaborate across multiple teams and stakeholders to drive business outcomes
- Experience, mentoring, and investing in the development engineers and peers
What the job involves
- Machine learning is an integral part of almost every service at Stripe
- It is a key investment area with products and use cases that span merchant and transaction risk, payments optimization, identity, and merchant data analytics and insights (Sigma)
- We are also using the latest generative AI technologies (such as LLMs and FMs) to re-imagine product experiences and developing AI Assistants both for our customers (e.g. Radar Assistant and Sigma Assistant), and also to make Stripes more productive across Support, Marketing, Sales, and Engineering roles within the company
- As part of the ML Foundations organization you will play a critical role in the acceleration of our Machine Learning journey at Stripe
- The organization develops the AI/ML foundational platform features and GenAI models to enable all Stripes to create AI/ML powered product features and applications
- As a lead you will be responsible for helping build out the Machine Learning roadmap for the organization, end to end model development, and driving Machine Learning and GenAI initiatives
- You will also coach and mentor our engineering talent, and work closely with engineering leadership and large cross-functional teams including engineering, data scientists and product teams to help scale the AI/ML efforts
- Develop and execute against both short and long-term roadmaps. Make effective tradeoffs that consider business priorities, user experience, and a sustainable technical foundation
- Design, implement, and scale critical machine learning model development to support company wide strategic initiatives
- Improve existing models to help enable new product ideas and improve productivity for our users and across the company
- Assist with team growth and development while maintaining a high bar for excellence and technical curiosity
- Own and build cross-functional partnerships with stakeholders including dependency engineering teams, product, design, infrastructure, and operations
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
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
Founders
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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