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This listing was closed on Jul 18, 2026.
Browse Open JobsSenior Staff Machine Learning Engineer, (Machine Learning)
Summary by AIEngineer.careers
Senior Staff Machine Learning Engineer, (Machine Learning) is a Machine Learning Engineer role (full-time). with Affirm. in REMOTE, DALLAS, US. Compensation shown: $236K–$296K. Imported listing (source: linkedin.com). Apply on the employer's site (linkedin.com).
Imported listing (source: linkedin.com) · Apply on linkedin.com
REMOTE · DALLAS · US
$236K–$296K
Full-time
STAFF
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from linkedin.com
Affirm is seeking a Senior Staff Machine Learning Engineer to join their innovative ML team. The role involves shaping the future of machine learning by designing and scaling advanced ML systems, driving technical strategy, and mentoring senior engineers. The position focuses on revolutionizing financial services with transparent and inclusive credit products using data and ML.
Responsibilities
- Define and drive multi-year technical strategy for machine learning across Affirm.
- Lead the design, implementation, and scaling of advanced ML systems.
- Partner with ML Platform, product, engineering, and risk leadership to shape long-term modeling capabilities.
- Mentor senior engineers and elevate design and code quality across the ML organization.
- Champion operational and system excellence, ensuring reliability and evolution of critical ML systems.
Requirements
- 10+ years experience in large-scale, real-time machine learning systems.
- Proficient in Python, PyTorch, and XGBoost.
- Experience with distributed frameworks like Spark and Ray.
- Experience with ML tooling such as Kubeflow and MLflow.
- Deep expertise in neural network sequence modeling, including Transformers and multi-task learning.
Affirm
San Francisco · US · 3131+ employees
Affirm is a fintech company that provides point-of-sale financing solutions, allowing consumers to pay for purchases in installments. It operates a payment network connecting consumers and merchants.
