[Hiring] Machine Learning Engineer @American IT Systems

Role Description

As a Machine Learning Engineer, you'll do more than build models - you'll design the systems that make fraud detection possible. You'll work across modeling, data pipelines, and backend systems (Go) to ensure ML models run reliably, efficiently, and at scale. This is a chance to combine applied ML with large-scale systems engineering, owning end-to-end solutions that tackle high-stakes, ever-evolving challenges.

• Build and optimize data pipelines and backend services to process device and behavioral data in real time.
• Develop and deploy ML models for fraud detection, ensuring they run reliably and efficiently in production.
• Turn raw data into production-ready features that feed our fraud detection systems.
• Collaborate with platform and backend engineers to integrate models seamlessly.
• Maintain high standards of security, privacy, and compliance.
• Champion best practices in testing, documentation, and observability.

Qualifications

• 5+ years in software engineering, with strong backend experience (Go or Python).
• Hands-on experience with applied ML using large datasets (PyTorch, Scikit-learn, etc.).
• Strong SQL skills and familiarity with relational and non-relational databases.
• Excellent communication skills in English, both written and verbal.
• Bachelor's or Master's in Computer Science, Engineering, or a related discipline.

Requirements

• 8 years of experience in software engineering with strong backend and machine learning work.
• End-to-end ML model ownership: feature pipelines, model deployment, monitoring, and iteration (not just experimentation).
• Depth in backend software engineering over data science.
• Fraud domain experience (bot detection, device fingerprinting, VPN/proxy detection, etc.).

Benefits

• $175K - $220K salary range.
• Remote work opportunity.

Bonus Points

• Domain knowledge in fraud, risk, or cybersecurity.
• Familiarity with CI/CD, Docker, Kubernetes and the modern devops framework.
• Understanding of modern browser APIs and high-entropy data collection techniques.
• Familiarity with leveraging frontier LLMs for automation.

What to ask candidates

• What's your current work authorization status in the US or Canada (e.g. US citizen, green card holder, Canadian PR/citizen)?
• When is the soonest they could start?
• Do they have any specific experience with bot detection, device fingerprinting, VPN/proxy detection, or similar fraud/security domains? (optional)
• What is their salary expectation?
• How actively is this candidate exploring new opportunities?