Senior Software Engineer - Machine Learning Engineer, Device Identification

November 5

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Description

Who we are: We are a leader in fraud prevention and AML compliance. • Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud. • Seeking a highly skilled Senior Software Engineer to lead the development of our device identification and fingerprinting systems. • Work closely with cross-functional teams to collect and process high-entropy signals.

Requirements

Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. • Minimum of 5 years of professional software engineering experience. • At least 3 years of experience in backend development, preferably with Go or a similar language. • Proficiency in Go (Golang) or strong experience in another backend language with a willingness to learn Go. • Experience with data processing frameworks and handling large-scale datasets. • Experience with machine learning techniques, statistical analysis, or probabilistic modeling to improve device identification reliability and accuracy. Familiarity with Python-based data science tools and libraries (e.g., NumPy, pandas, scikit-learn) is a plus. • Familiarity with relational and non-relational databases. • Strong problem-solving abilities and analytical thinking. • Excellent communication skills, both written and verbal. • Ability to work collaboratively in a team environment. • Self-motivated with a passion for continuous learning and improvement.

Benefits

Generous compensation in cash and equity • Early exercise for all options, including pre-vested • Work from anywhere: Remote-first Culture • Flexible paid time off, Year-end break, Self care days 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