Senior Machine Learning Engineer

December 23, 2023

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Description

• As a Machine Learning Engineer, you will play a pivotal role in designing, developing, and implementing cutting-edge machine learning solutions to mitigate fraud and risk, ensuring optimal outcomes for both our company and clients. • Collaborating closely with cross-functional teams, you will contribute to the development of robust machine learning infrastructure and feature engineering capabilities.

Requirements

• 5+ years of hands-on experience in Machine Learning or related roles within Fraud, Risk, Compliance, Payments, or FinTech domains. • Extensive knowledge and educational background in computer science, machine learning, and statistics. • Strong programming proficiency in Python and SQL, coupled with hands-on experience in backend development. • Proficiency in data warehousing, data pipelines, and ETL tools, with a proven track record of managing the machine learning lifecycle. • Experience with cloud computing platforms such as GCP, AWS, or Azure. • Familiarity with Kubernetes or Docker for efficient containerization. • Proven track record of collaboration with data scientists to build, deploy, and refine machine learning models. • Prior experience in building ML observability to uphold the performance and reliability of machine learning models in production.

Benefits

• Generous compensation in cash and equity • 7-years for post-termination option exercise (vs. standard 90 days) • Early exercise for all options, including pre-vested • Work from anywhere: Remote-first Culture • Flexible paid time off • Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific • 4% matching in 401k / RRSP - US and Canada specific • MacBook Pro delivered to your door • One-time stipend to set up a home office — desk, chair, screen, etc. • Monthly meal stipend • Monthly social meet-up stipend • Annual health and wellness stipend • Annual Learning stipend • Unlimited access to an expert financial advisory