Senior Software Engineer / Machine Learning Engineer (Device Identification)

Who we are:

Our culture:

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  We have hubs in the Bay Area, NYC, Austin, and Toronto. However, we have a remote-first work culture. #WorkFromAnywhere
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  We hire talented, self-motivated people and get out of their way
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  We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, or doctor's appointments for the sake of adhering to an arbitrary work schedule.

Job Summary

Key Responsibilities

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

Qualifications

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  Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
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  Experience:
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  Minimum of 5 years of professional software engineering experience.
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  At least 3 years of experience in backend development, preferably with Go or a similar language.
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  Technical Skills:
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  Proficiency in Go (Golang) or strong experience in another backend language with a willingness to learn Go.
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  Experience with data processing frameworks and handling large-scale datasets.
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  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.
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  Familiarity with relational and non-relational databases.
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  Soft Skills:
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  Strong problem-solving abilities and analytical thinking.
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  Excellent communication skills, both written and verbal.
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  Ability to work collaboratively in a team environment.
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  Self-motivated with a passion for continuous learning and improvement.

Preferred Qualifications

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  Machine Learning: Experience with machine learning algorithms and techniques. (python/notebooks/etc)
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  Security Expertise: Understanding of cybersecurity principles, especially related to device identification and fraud prevention.
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  Cloud Technologies: Experience with cloud platforms such as AWS, Google Cloud, or Azure.
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  DevOps Skills: Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines.
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  SQL Proficiency: Strong SQL skills to query, analyze, and validate data effectively, especially for large-scale datasets.
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  Python and Jupyter Notebooks: Experience with Python for data analysis and machine learning model development, with familiarity in using Jupyter Notebooks for prototyping and collaboration.
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  Additional Considerations: Knowledge of JavaScript and familiarity with modern browser APIs, especially in the context of high-entropy data collection for device fingerprinting.Compensation: Base pay range of $160,000 - $190,000 + Series B equity with tremendous upside potential + Attractive benefits

Benefits we offer:

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  Generous compensation in cash and equity
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  Early exercise for all options, including pre-vested
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  Work from anywhere: Remote-first Culture
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  Flexible paid time off, Year-end break, Self care days off
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  Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific
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  4% matching in 401k / RRSP - US and Canada specific
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  MacBook Pro delivered to your door
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  One-time stipend to set up a home office — desk, chair, screen, etc.
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  Monthly meal stipend
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  Monthly social meet-up stipend
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  Annual health and wellness stipend
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  Annual Learning stipend
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  Unlimited access to an expert financial advisory