[Remote] Machine Learning Engineer at Sardine

Brazil

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R$330,000 – R$440,000Compensation

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

Full TimeJob Type

UnknownVisa

Fraud Prevention, AML Compliance, Fintech, CybersecurityIndustries

Requirements

Candidates must have a Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline, along with 5+ years of experience in software engineering focused on backend development, specifically with Go or a similar language. Proficiency in applied machine learning, data-informed optimization, working with large-scale datasets using tools like PyTorch and Scikit-learn, and SQL for data analysis are essential. Candidates should also be comfortable with relational and non-relational databases and possess proficient English communication skills.

Responsibilities

The Machine Learning Engineer will design and refine backend services using Golang for processing device data, collaborate with stakeholders to integrate ML capabilities, and develop algorithms for device identification using high-entropy signals and probabilistic matching. They will analyze large datasets to improve system accuracy, apply advanced ML models for device recognition and uncertainty management, and maintain high standards of privacy and security. Additionally, the role involves fostering continuous learning and documenting processes.

Skills

Machine Learning

Golang

Backend Services

Device Intelligence

Fingerprinting

Algorithms

Probabilistic Matching

Data Analysis

Fraud Prevention

AML Compliance

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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