Machine Learning Engineer (Fintech)

TL;DR

Machine Learning Engineer (Fintech): Developing and implementing scalable machine learning models for core financial platforms with an accent on ranking, recommendation systems, and reinforcement learning. Focus on conducting rigorous A/B testing, optimizing decision-making in dynamic environments, and building high-scale ML infrastructure.

Location: Must be based in Bellevue, WA with in-person attendance expected at least three days per week.

Salary: $161,138 - $200,000 per year

Company

A mission-driven fintech company focused on democratizing finance for all through innovative technology and high-impact financial products.

What you will do

• Research and implement cutting-edge ML models, including transformer-based architectures and large foundational models.
• Develop scalable ranking and recommendation systems using collaborative and content-based filtering.
• Design reinforcement learning algorithms and multi-armed bandit strategies to optimize decision-making.
• Conduct rigorous A/B testing and statistical analysis to evaluate model performance and business impact.
• Collaborate with cross-functional teams to integrate ML solutions into core product experiences.
• Build reusable ML libraries and maintain comprehensive documentation for experiments and models.

Requirements

• Bachelor’s degree in Computer Science or related field with 3+ years of experience, or Master’s degree with 1+ year of experience.
• Proven experience in productionizing ML models for recommendations, ranking, or personalization.
• Proficiency in Python, SQL, XGBoost, and deep learning frameworks like PyTorch or TensorFlow.
• Hands-on experience with distributed, high-scale ML application architectures.
• Experience with big data and infrastructure tools such as Spark, Kafka, or Kubernetes.
• Ability to produce robust business outcomes through comprehensive statistical analysis and A/B testing.

Culture & Benefits

• Performance-driven compensation including bonuses and equity ownership.
• 100% paid health insurance for employees with 90% coverage for dependents.
• Flexible lifestyle wallet for wellness and learning expenses.
• Comprehensive life, disability, and mental health benefits.
• Generous time off including company holidays, parental leave, and sick time.
• Energizing office environment with catered meals and collaborative workspaces.