[Remote] Machine Learning Engineer (Device Identification) at Sardine

Canada

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$180,000 – $220,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Fintech, Fraud Prevention, CybersecurityIndustries

Skills

Key technologies and capabilities for this role

Machine LearningDevice IdentificationDevice FingerprintingGo (Golang)JavaScriptData AnalysisBackend DevelopmentProbabilistic MatchingFraud PreventionAML Compliance

Questions & Answers

Common questions about this position

What is the salary range for the Machine Learning Engineer position?

The salary range is $180K - $220K.

Is this Machine Learning Engineer role remote?

Yes, the role is fully remote with a remote-first work culture and #WorkFromAnywhere philosophy.

What skills are required for the Machine Learning Engineer role?

Required skills include at least 3 years of backend development preferably with Go, minimum 5 years of professional software engineering experience, experience with JavaScript for frontend data collection, device fingerprinting algorithms, and machine learning integration.

What is the company culture like at Sardine?

Sardine has a remote-first culture embracing #WorkFromAnywhere, valuing talented self-motivated individuals with extreme ownership and high growth orientation, focusing on performance over hours worked to support work-life balance.

What makes a strong candidate for this Machine Learning Engineer position?

Strong candidates have at least 5 years of software engineering experience including 3 years in backend development preferably with Go, plus skills in JavaScript, device fingerprinting, machine learning, and a Bachelor's or Master's in Computer Science or Engineering.

Sardine

Fraud prevention and compliance platform

About Sardine

Sardine.ai focuses on fraud prevention and compliance for banks, retailers, and fintech companies. Its platform offers tools for risk scoring, transaction monitoring, and customer due diligence, helping clients detect fraud and prevent money laundering. What sets Sardine.ai apart is its ability to monitor customer interactions for fraud signals, using data from over 35 providers to generate accurate risk scores. The company's goal is to enhance security and compliance for financial institutions and retailers.

San Francisco, CaliforniaHeadquarters

2020Year Founded

$73.5MTotal Funding

SERIES_BCompany Stage

Fintech, Financial ServicesIndustries

51-200Employees

Benefits

Generous compensation in cash and equity

7-year for post-termination option exercise (vs. standard 90 days)

Early exercise for all options, including pre-vested

Work from anywhere: Remote-first Culture

Unlimited paid time off and minimum 2 weeks/year of mandatory vacation

100% of health insurance, dental, and vision coverage for employees and 60% for dependents

4% matching in 401k

Company-wide offsites, the last one was at Miami

MacBook Pro delivered to your door

One-time stipend to set up a home office — desk, monitors, etc.

Monthly meal stipend

Monthly health and wellness stipend

Monthly meet-up stipend

Unlimited access to an expert financial advisory

Risks

Sophisticated synthetic identity fraud challenges traditional detection methods.

Real-time payment systems increase fraud risk, straining current detection capabilities.

Dollar-to-crypto conversion partnership may attract regulatory scrutiny.

Differentiation

Sardine offers instant settlement for NFT and cryptocurrency transactions, enhancing transaction speed.

The platform uses behavioral biometrics to monitor interactions, providing precise risk scores.

Sardine integrates data from over 35 providers for comprehensive fraud detection.

Upsides

Partnership with Experian enhances product offerings with behavioral biometrics and device intelligence.

Collaboration with Airbase expands market reach in integrated risk management solutions.

Launch of GenAI assistant, Finley, leverages AI for competitive fraud detection.

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