Software Engineer, Machine Learning Infrastructure
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
15 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 $1T in payments volume per year which is roughly 1% of the worlds GDP. The tremendous amount of data makes Stripe one of the best places to do machine learning. The ML Infra team builds services and tools that power every step in the ML lifecycle including data exploration feature generation experimentation training deploying serving ML models and building LLM applications. 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.
What youll do
You will work closely with machine learning engineers data scientists and product engineering teams to enable seamless end-to-end experience in building solutions across data analytics and AI/ML platforms. You will build the next generation of ML Infra services and major new capabilities that substantially improve ML development velocity and MLOps maturity across the company.
Responsibilities
- Designing and building scalable reliable and secure services for notebooks ML model training experimentation serving and LLM applications across multiple regions.
- Creating services and libraries that enable ML engineers at Stripe to seamlessly transition from experimentation to production across Stripes systems.
- Working directly with product teams and ML engineers to improve their day-to-day productivity.
- Taking ownership of and finding solutions for technical and product challenges by working with a diverse set of systems processes and technologies.
Who you are
Were looking for people with a strong background or interest in building successful products or systems; youre passionate about solving business problems and making impact you are comfortable in dealing with lots of moving pieces; and youre comfortable learning new technologies and systems. You are comfortable working with other Stripe teams across the US and Canada.
Minimum requirements
- 2 years of professional software development experience with a solid background on service oriented architecture and large-scale distributed systems
- Experience working through the full life cycle of software development from talking to users to design and implementation to testing and deployment to operations
- Experience working on production ML platforms MLOps solutions or building LLM applications
- Experience running operations for high availability low latency systems
- Experience partnering with other teams to drive business outcomes
- A sense of pragmatism: you know when to aim for the ideal solution and when to adjust course
Preferred qualifications
- Experience building and shipping production AI agents
- Familiarity with the LLMs and LLM Frameworks
- Experience training and shipping machine learning models to production to solve critical business problems
Required Experience:
IC
Key Skills
- Jenkins
- Ruby
- Python
- Active Directory
- Cloud
- PowerShell
- Windows
- AWS
- Linux
- SAN
- Java
- Troubleshoot
- Backup
- Puppet
- hardware
About Company
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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.
