Machine Learning Engineer

Summary

Join Sardine, a leader in fraud prevention and AML compliance, as a Machine Learning Engineer. You will lead the development of device identification and fingerprinting systems, working with cross-functional teams to collect and process data, enhance backend systems, and improve fingerprinting accuracy. Responsibilities include backend development using Go, data collection optimization with JavaScript, implementing device fingerprinting algorithms, data analysis, browser and technology monitoring, machine learning integration, ensuring security and compliance, performance optimization, and documentation and mentorship. This remote-first position offers a competitive salary, equity, and attractive benefits. The ideal candidate has 5+ years of software engineering experience, 3+ years of backend development (preferably with Go), a Bachelor's or Master's degree in a related field, and experience with data processing and machine learning. The role requires strong problem-solving, analytical, and communication skills.

Requirements

• 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
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 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

Responsibilities

• Backend Development: Design, develop, and maintain backend services using Go (Golang) to process and analyze device data
• Data Collection Optimization: Collaborate with frontend engineers to refine data collection methodologies using JavaScript and modern browser technologies
• Device Fingerprinting: Implement and improve algorithms for device identification using high-entropy signals and probabilistic matching techniques
• Data Analysis: Handle large datasets to extract insights and improve matching accuracy
• Browser and Technology Monitoring: Stay up-to-date with changes in browser behaviors, APIs, and security features that may impact data collection and fingerprinting methods
• Machine Learning Integration: Apply machine learning models where appropriate to enhance device recognition and handle uncertainty
• Security and Compliance: Ensure all systems and processes comply with relevant privacy laws and industry best practices
• Performance Optimization: Identify bottlenecks and optimize system performance for scalability and reliability
• Documentation and Mentorship: Document system designs and processes. Mentor junior team members and promote best practices within the team

Preferred Qualifications

• Security Expertise: Understanding of cybersecurity principles, especially related to device identification and fraud prevention
• Cloud Technologies: Experience with cloud platforms such as AWS, Google Cloud, or Azure
• DevOps Skills: Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines
• SQL Proficiency: Strong SQL skills to query, analyze, and validate data effectively, especially for large-scale datasets
• Additional Considerations: Knowledge of JavaScript and familiarity with modern browser APIs, especially in the context of high-entropy data collection for device fingerprinting

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