Senior Software Engineer, Machine Learning Engineer (Device Identification)

Summary

Join a fast-growing company with world-class professionals from around the world. We are seeking a highly skilled Senior Software Engineer to lead the development of our device identification and fingerprinting systems.

Requirements

• 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

Responsibilities

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

Preferred Qualifications

• Experience with machine learning algorithms and techniques. (python/notebooks/etc)
• Understanding of cybersecurity principles, especially related to device identification and fraud prevention
• Experience with cloud platforms such as AWS, Google Cloud, or Azure
• Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines
• Strong SQL skills to query, analyze, and validate data effectively, especially for large-scale datasets
• Experience with Python for data analysis and machine learning model development, with familiarity in using Jupyter Notebooks for prototyping and collaboration

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