AIML Manager, ML Foundations
Share
Job Location:
San Francisco, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companiesfrom the worlds largest enterprises to the most ambitious startupsuse Stripe to accept payments grow their revenue and accelerate new business opportunities. Our mission is to increase the GDP of the internet and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyones reach while doing the most important work of your career.
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. We are also using the latest generative AI technologies (such as LLMs and FMs) to re-imagine product experiences and developing AI Assistants and Agents 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.
About the team
We are dedicated to building and shipping the foundational AI and machine learning systems that will power our entire product suite. Our mission is to fundamentally transform how Stripe uses ML leveraging our extensive and rich dataset to solve some of the most challenging problems in payments and fraud. We work closely with our partners in Risk Payments and Support to build transformative technologies that have a direct impact on our users.
From a data perspective Stripe handles over $1.4T in payments volume per year which is roughly 1.3% of the worlds GDP. We process petabytes of financial data using our ML platform to build features train models and deploy them to production. We use a combination of highly scalable and explainable models such as linear/logistic regression and random forests along with the latest deep neural networks from transformers to LLMs. Some of our latest innovations have been around figuring out how best to bring transformers and LLMs to improve existing models and also enable entirely new product ideas that are only made possible by GenAI.
What youll do
In this role you will be a transformative leader with the responsibility of overseeing three critical teams within ML Foundations. You will drive the strategic direction and execution for Stripes AI initiative shepherding large complex ML projects from the ground up while upleveling the way the entire company thinks about and utilizes ML.
Responsibilities
- Lead the development of foundation models for payments merchants and other core product areas.
- Develop universal AI Assistants and Retrieval-Augmented Generation (RAG) and LLM systems to automate support and answer questions across Stripes platforms.
- Drive the adoption of new ML and AI systems to automate merchant onboarding and workflow automation for a majority of our merchants.
- Build and lead a world-class team of ML engineers (MLEs) fostering a culture of technical excellence collaboration and continuous learning.
Who you are
Were looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements you are encouraged to apply. The preferred qualifications are a bonus not a requirement.
Minimum requirements
- 10 years of experience in machine learning with a strong emphasis on modern technologies such as DNNs Transformers and Foundation Models.
- Proven experience in managing and developing a team of managers fostering their growth and ensuring alignment with strategic objectives
- A strong builder mentality with the ability to define a teams charter and lead the development of complex systems from scratch.
- Proven ability to shepherd large complex ML projects and drive transformational change in an organization.
- Deep passion for solving really interesting problems and for building the latest technologies rather than relying on outdated methods.
Preferred qualifications
- A PhD or Masters degree with a research-oriented background with the ability to dive into papers and stay current with academic publications.
- Experience with a large-scale data-rich product in a domain such as payments commerce search or social media.
- Knowledge of the challenges and opportunities in applying ML to fraud prevention merchant intelligence or financial services.
Required Experience:
Manager
Key Skills
- Restaurant Experience
- Customer Service
- Employee Evaluation
- Management Experience
- Math
- Employment & Labor Law
- Sanitation
- Leadership Experience
- P&L Management
- Mentoring
- Supervising Experience
- Restaurant Management
About Company
Our journey began with a vision: Truth serves life, and so technology serves beauty. By constantly reminding individuals and firms of what they stand for and so who they are, aesthetically beautiful principles help raise civilization to a new level of modernity.
