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 Seattle, WA. The role focuses on developing advanced ML solutions to enhance Stripe's payment products and drive measurable business impact.
About the Role
As a Machine Learning Engineer, you will design and deploy deep learning architectures and foundation models addressing key payment entities such as merchants, issuers, or customers. 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 solutions, explore cutting-edge techniques, and collaborate closely with ML infrastructure teams to develop new platform capabilities.
About You
Required:
- Minimum 7 years of industry experience in end-to-end ML development and production deployment.
- Proficient in Python, Scala, and Spark.
- Proficient 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 ML 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.
Seattle, WA