Machine Learning Engineer, Identity Product

Who you are

You have a strong academic background with an MS or PhD in Machine Learning, AI, or a related field such as mathematics, physics, or statistics. Your experience includes working with deep neural networks (DNNs), particularly the latest architectures like transformers and large language models (LLMs). You have a proven track record of building and deploying machine learning systems that effectively address complex business challenges, especially in adversarial domains such as payments, fraud, trust, or safety.

You are proficient in programming languages such as Java and Ruby, which allows you to navigate and contribute to codebases effectively. Your understanding of machine learning principles and practices enables you to leverage data-driven insights to enhance product features and user experiences. You thrive in collaborative environments, working closely with cross-functional teams to drive innovation and improve existing systems.

Desirable

Experience with generative AI technologies is a plus, as you will be involved in re-imagining product experiences and developing AI assistants for various roles within Stripe. Familiarity with scalable and explainable models, as well as a strong analytical mindset, will help you succeed in this role.

What you'll do

As a Machine Learning Engineer at Stripe, you will play a crucial role in integrating machine learning into various services. You will work on key products that utilize machine learning for merchant and transaction risk assessment, payments optimization, identity verification, and data analytics. Your responsibilities will include designing and implementing machine learning models, training them on large datasets, and deploying them to production environments.

You will collaborate with product managers, engineers, and data scientists to identify opportunities for machine learning applications and develop solutions that enhance Stripe's offerings. Your work will involve experimenting with different algorithms and architectures to improve model performance and ensure that the solutions you build are robust and scalable.

You will also be responsible for monitoring the performance of deployed models, conducting experiments to validate their effectiveness, and iterating on your designs based on feedback and performance metrics. Your contributions will directly impact how Stripe processes payments and manages risk, making your role vital to the company's mission of increasing the GDP of the internet.

What we offer

At Stripe, you will be part of a dynamic team that is at the forefront of financial technology. We offer competitive compensation and benefits, including opportunities for professional growth and development. You will have the chance to work with cutting-edge technologies and contribute to projects that have a significant impact on the global economy. Join us in our mission to empower businesses and make financial services more accessible to everyone.