Staff Machine Learning Engineer (Fintech)

Location: Seattle, WA, United States of America; at least 50% in-office attendance monthly, typically three days per week

Starting base salary: $208,000–$260,000 per year, plus equity and additional compensation components.

Company

Provides trusted financial services that enable customers to send money across borders, serving more than 170 countries.

What you will do

• Lead the end-to-end machine learning lifecycle, from raw data and exploratory analysis through model training, evaluation, and deployment.
• Design, build, and scale batch and real-time feature pipelines.
• Partner with data scientists, product owners, and engineers to turn prototypes into reliable customer-facing ML systems.
• Apply MLOps practices including automated retraining, drift detection, CI/CD, monitoring, and observability.
• Mentor engineers, lead design reviews, and maintain a high bar for code quality.
• Drive technical strategy and influence ML architecture decisions across the organization.

Requirements

• Must work from the Seattle, WA area and meet the in-office expectation of at least 50% of the time monthly.
• Degree in Computer Science, Data Science, Statistics, Mathematics, or equivalent practical experience.
• 10+ years of experience delivering machine learning systems in production.
• Strong programming skills in Python, Go, Scala, or a similar language.
• Hands-on experience with ML frameworks such as PyTorch, scikit-learn, or NumPy, and with AWS, GCP, or Azure.
• Demonstrated experience leading cross-functional ML initiatives and mentoring senior engineers.

Nice to have

• Experience with deep learning, large language models, causal inference, personalization, knowledge graphs, or natural language processing.
• Experience with transformer architectures and pretraining, post-training, or fine-tuning of LLMs.

Culture & Benefits

• Connected Work Culture with structured in-person collaboration for corporate team members.
• Flexible paid time off.
• Health, dental, and vision coverage with a 401(k) plan and company matching.
• Paid parental, medical, military, and family care leave.
• Mental health, family-forming, employee stock purchase, continuing education, and travel benefits.
• Equity participation as part of the total compensation plan.