Posted:
10/22/2024, 9:49:05 AM
Location(s):
Seattle, Washington, United States ⋅ Washington, United States
Experience Level(s):
Mid Level ⋅ Senior
Field(s):
AI & Machine Learning ⋅ DevOps & Infrastructure ⋅ Software Engineering
Workplace Type:
Remote
Pay:
$164/hr or $341,120 total comp
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use 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 everyone’s reach while doing the most important work of your career.
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.
We’re looking for people with a strong background or interest in building successful products or systems; you’re passionate about solving business problems and making impact, you are comfortable in dealing with lots of moving pieces; and you’re comfortable learning new technologies and systems. Many of our engineers work remotely from both the US and Canada, and we’d be happy to talk to you about the possibility of working remotely.
It’s not expected that any single candidate would have expertise across all of these areas. For instance, we have wonderful team members who are really focused on their customers’ needs and building amazing user experiences, but didn’t come in with as much systems knowledge.
Website: https://stripe.com/
Headquarter Location: South San Francisco, California, United States
Employee Count: 1001-5000
Year Founded: 2010
IPO Status: Private
Last Funding Type: Grant
Industries: Finance ⋅ FinTech ⋅ Mobile Payments ⋅ SaaS