Engineering Manager, Machine Learning Platform
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Job Location:
Monthly Salary:
Posted on:
13 hours 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.
About the team
Stripe processes over $1.9 T in payments volume per year which is roughly 1.6% of the worlds GDP for millions of customers from startups to enterprises. The tremendous amount of data makes Stripe one of the best places to do machine learning. While being an integral part of almost every product line at Stripe (e.g. Payments Radar Capital Billing etc.) we have lots of exciting opportunities to innovate in ML Platform at Stripe.
The ML Platform team builds the platforms and services that enable ML engineers and data scientists across Stripe to take the data and build features and models from prototype to production reliably at low latency and at scale. We work closely with product teams data scientists and platform infrastructure teams to build powerful flexible and user-friendly systems that substantially increase ML velocity across the company.
What youll do
You will have the opportunity to shape the future of ML Data Foundations platform ML Serving and observability at Stripe. You will help define the long-term strategy and lead the team in building the next generation of serving infrastructure that powers most if not all of Stripes ML-driven products.
Responsibilities
- Hire lead and manage a team of talented engineers on the team providing mentorship guidance and support to ensure their success.
- Collaborate with cross-functional teams including senior leadership ML Platform teams data platform data science machine learning and other business orgs to understand user needs and translate them into technical solutions.
- Define the vision and roadmap aligning it with business objectives and industry best practices.
- Drive the execution of projects overseeing the entire development lifecycle from planning to delivery while maintaining high standards of quality and timely completion.
- Foster a collaborative and inclusive work environment promoting innovation knowledge sharing and continuous improvement within the team.
- Stay up-to-date with emerging technologies industry trends and advancements in AI/ML to identify opportunities for innovation and improvement.
- Communicate effectively with stakeholders providing regular updates on project status progress and any potential risks or challenges.
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 software development experience and 3 years of engineering management experience building user-centric products
- Proven track record of building and operating large scale highly available low-latency systems
- Experience working in highly cross-functional organizations
- The ability to thrive on a high level of autonomy and responsibility
- The desire to encourage a healthy inclusive work environment thats both supportive and challenging
- Clear and persuasive writing and in-person communication
Preferred qualifications
- Experience in building large-scale serving or data infrastructure for machine learning use cases (e.g. model inference feature stores real-time feature computation)
- Familiarity with cloud services (e.g. AWS) and cloud-based AI/ML services (e.g. SageMaker Bedrock Databricks OpenAI etc.)
- Comfortable working with geographically distributed teams
- Experience with applying machine learning to real-world problems
Required Experience:
Manager
Key Skills
- Hospitality Experience
- Go
- Management Experience
- React
- Redux
- Node.js
- AWS
- Mechanical Engineering
- Team Management
- Leadership Experience
- Mentoring
- Distributed Systems
About Company
Stripe is a suite of APIs powering online payment processing and commerce solutions for internet businesses of all sizes. Accept payments and scale faster with AI.
