Senior Software Engineer - Machine Learning Engineer, Device Identification

November 5, 2024

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Sardine

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Sardine is a cutting-edge platform focused on fraud prevention and compliance. The company offers a behavior-based system for fraud detection, identity verification, and transaction monitoring that helps leading banks, online retailers, and fintechs protect themselves from scams and financial crime. Sardine's technology integrates advanced behavioral biometrics and device intelligence to combat identity fraud, payment fraud, and account takeovers. The platform also streamlines compliance checks such as KYC (Know Your Customer) and AML (Anti-Money Laundering) transaction monitoring. Sardine's comprehensive solution empowers its clients to automate risk decisioning, identify high-risk users early, and manage fraud across the customer journey effectively.

51 - 200 employees

Founded 2020

🔒 Cybersecurity

📋 Compliance

💳 Fintech

📋 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