Machine Learning Engineer, Payments ML Accelerator
$212k/y-$318k/y
18 days ago
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HybridFull-timeSenior
Summary
Stripe is seeking a Machine Learning Engineer for their Payments ML Accelerator team in the United States. The role focuses on developing advanced machine learning solutions to enhance Stripe's payment products and drive measurable business impact.
About the Role
As a Machine Learning Engineer on the Payments ML Accelerator team, you will design and deploy deep learning architectures and foundation models addressing payment challenges such as fraud detection and authorization optimization. You will identify high-impact opportunities, drive the long-term ML roadmap, architect scalable ML workflows, deploy models ensuring operational stability, experiment with advanced ML techniques, and collaborate closely with ML infrastructure and product teams to innovate and implement scalable AI-powered solutions.
About You
Required:
- Minimum 7 years of industry experience in end-to-end machine learning development and production deployment.
- Proficiency in Python, Scala, and Spark.
- Strong expertise in deep learning and large language models (LLM)/foundation models.
Preferred:
- MS or PhD degree in a quantitative field or ML/AI (e.g., computer science, math, physics, statistics).
- Experience manipulating data for analysis, including querying data, defining metrics, and evaluating hypotheses.
- Experience evaluating new and emerging machine learning solutions.
Benefits
- Equity and company bonus or sales commissions/bonuses.
- 401(k) retirement plan.
- Medical, dental, and vision benefits.
- Wellness stipends.
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. Headquartered in San Francisco and Dublin, the company aims to increase the GDP of the internet.
United States