Staff Machine Learning Engineer (Fintech)

TL;DR

Staff Machine Learning Engineer (Fintech): Leading the end-to-end ML lifecycle and building foundational systems for global financial services with an accent on scalability, MLOps, and cross-domain integration. Focus on designing large-scale feature pipelines, mentoring engineering teams, and deploying reliable ML models into production environments.

Location: Must be based in Seattle, WA, USA with a hybrid work expectation of at least 50% in-office (typically 3 days per week).

Salary: $208,000–$260,000

Company

hirify.global is a global financial services company dedicated to providing secure and reliable money transfer solutions that transcend borders.

What you will do

• Lead the end-to-end ML lifecycle from raw data to model deployment and evaluation.
• Design, build, and scale feature pipelines for both batch and real-time ML applications.
• Partner with data scientists and product teams to turn prototypes into reliable, customer-facing systems.
• Optimize models and pipelines using MLOps best practices including automated retraining and drift detection.
• Mentor and lead other engineers through design reviews and technical discussions.

Requirements

• 10+ years of experience delivering Machine Learning systems in production.
• Strong programming skills in Python, Go, or Scala.
• Hands-on experience with ML frameworks such as PyTorch or scikit-learn.
• Experience working with major cloud platforms like AWS, GCP, or Azure.
• Must be authorized to work in the United States.

Nice to have

• Experience with Deep Learning, Large Language Models, Causal Inference, or Knowledge Graphs.
• Background in Personalization or Natural Language Processing.

Culture & Benefits

• Comprehensive health, dental, and vision insurance.
• 401k plan with company matching and Employee Stock Purchase Plan (ESPP).
• Flexible paid time off and various forms of paid leave.
• Mental health and family forming benefits.
• Continuing education and travel benefits.