Website Stripe
Help increase the GDP of the internet.
Be an ML Engineer at Stripe: Revolutionize Payments with Cutting-Edge AI (Hybrid)
Do you dream of using machine learning (ML) to transform the global economy? Join Stripe, a leader in financial infrastructure, and make a real impact!
The Payments ML Accelerator team is on a mission to:
- Develop cutting-edge deep learning models for Stripe’s payment data.
- Build ML infrastructure for rapid experimentation and lightning-fast development cycles.
- Explore innovative ML applications to improve core features like fraud detection and payment acceptance rates.
As a Machine Learning Engineer, you’ll:
- Design and build scalable ML platforms and services.
- Develop and deploy advanced ML applications and feature engineering pipelines.
- Collaborate with data scientists to create impactful ML models.
- Influence and contribute to Stripe’s overall ML architecture.
You’re a great fit if you have:
- 5+ years of experience bringing ML models to production as part of an ML team.
- An advanced degree in a quantitative field (e.g., computer science, statistics).
- Proficiency in Python, Scala, and Spark.
- Experience with streaming feature pipelines is a plus.
- Familiarity with evaluating new and upcoming ML solutions is a bonus.
Why Stripe?
- Make a real difference in the global economy with cutting-edge AI.
- Enjoy a hybrid work model with a competitive salary (USD 192,000 – $288,000) and a comprehensive benefits package.
- Collaborate with a passionate team on groundbreaking projects.
Ready to revolutionize payments with AI? Apply today!
#MachineLearning #AI #Payments #Stripe #Engineering
To apply for this job please visit stripe.com.