Machine Learning Engineer
SweedSalary not specified
Full Time
Mid-level (3 to 4 years)
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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