Senior Staff Machine Learning Engineer (Fintech)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior Staff Machine Learning Engineer (Fintech): Leading the design, implementation, and scaling of advanced ML systems for financial products with an accent on representation learning, sequence modeling, and distributed infrastructure. Focus on driving multi-year technical strategy, mentoring senior engineers, and solving complex, ambiguous problems to ensure system reliability and innovation at scale.
Location: Must be based in the United States
Salary: $236,000 – $325,000 per year (depending on location)
Company
Affirm is a financial technology company reinventing credit to provide consumers with flexible, transparent, and honest payment solutions.
What you will do
- Define and drive multi-year technical strategy for machine learning across the organization.
- Lead the design and scaling of advanced ML systems, ensuring reliability and extensibility.
- Partner with product, engineering, and risk leadership to shape long-term modeling capabilities.
- Provide broad technical leadership and mentor senior engineers to elevate design and code quality.
- Drive clarity on high-stakes technical decisions and resolve cross-team architectural tensions.
- Champion operational excellence and robust monitoring practices for critical ML systems.
Requirements
- Must be based in the United States
- 10+ years of experience researching, designing, and operating large-scale, real-time ML systems.
- Proficiency in Python and ML frameworks like PyTorch and XGBoost.
- Deep expertise in distributed ML infrastructure, feature stores, and large-scale data processing (Spark, Ray).
- Strong understanding of representation learning, Transformers, and sequence modeling.
- Proven track record of technical leadership and driving measurable business impact.
Culture & Benefits
- 100% subsidized medical, dental, and vision coverage for employees and dependents.
- Generous flexible spending wallets for technology, food, and lifestyle needs.
- Competitive vacation and holiday schedules.
- Employee stock purchase plan (ESPP) with discount.
- Remote-first culture with occasional office collaboration.
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