Machine Learning Engineer Foundation Model

@ Stripe

About Stripe

Stripe’s mission is to accelerate global economic and technological development. Stripe offers financial infrastructure and various services that scale globally and deliver industry-leading reliability and product quality. Machine learning is integral to almost every service, used to optimize access and minimize risk.

About the Role

As a Machine Learning Engineer Foundation Model at Stripe, you will tackle some of the company’s most challenging technical problems. You will be responsible for both hands-on development and driving strategic initiatives in building foundation models that power payments and risk solutions.

Responsibilities

• Develop foundation models for payments, merchants, and consumers.
• Fine-tune and optimize large language models using state-of-the-art techniques.
• Drive technical excellence through hands-on contributions and architecture reviews.
• Partner with engineering and product leaders to prioritize foundational investments.
• Contribute to Stripe’s technical strategy and mentor ML engineers across the company.

Who You Are

You should have at least 5 years of experience building and shipping ML models, strong Python skills, and a passion for solving complex problems. A proven experimental mindset and an ability to lead large projects are essential. Advanced academic credentials and experience with data-rich products are a plus.

Work Arrangement

This position is hybrid. Employees have the option of working in an office and remotely (35+ miles from an office). Office-assigned team members are expected to spend at least 50% of their time onsite.

Compensation and Benefits

The annual US base salary for this role ranges from $212,000 to $318,000. Benefits may include equity, bonuses, 401(k), medical, dental, vision, and wellness stipends.

Key skills/competency

• Machine Learning
• Foundation Models
• LLMs
• Python
• DNNs
• Transformers
• Risk Optimization
• Data Analytics
• Architecture Design
• Mentoring