GitHub Machine Learning Engineer Position

Drive innovation at GitHub as a Machine Learning Engineer.

Focus on building solutions for fraud prevention and user safety while working remotely from Ontario, Canada.
As an experienced professional, you'll be responsible for deploying scalable machine learning solutions that monitor safety and detect potential abuses on the platform.

You'll engage closely with cross-functional teams to implement agentic strategies and provide insights into product vulnerabilities.

Your role will emphasize collaboration and quality, contributing to GitHub's commitment to safe and effective software development.
Key Responsibilities:
• Build and deploy agentic ML solutions to detect fraud
• Develop robust systems that handle high-volume data streams
• Evaluate model performance using real-world feedback
• Document systems and support peer growth
• Consult with product teams on safety features
Requirements:
• Minimum 4 years in machine learning or related fields
• Deep understanding of AI coding assistants
• Experience with classification and detection systems
• Hands-on with privacy management
• Strong knowledge of anomaly detection algorithms
Your expertise will be critical in safeguarding GitHub's diverse community as you create solutions that drive positive change.
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