Experienced Machine Learning Engineer at GitHub

Be a key player at GitHub as an experienced Machine Learning Engineer.

Develop cutting-edge solutions for safety and fraud detection while enjoying remote flexibility in Ontario, Canada.
In this pivotal role, you will design and implement scalable ML systems aimed at enhancing user trust and safety on the platform.

You'll collaborate with various teams, employ large language models effectively, and ensure proactive measures against abuse.

This is your chance to impact millions of developers worldwide while refining your machine learning skills in a supportive environment.
Key Responsibilities:
• Create scalable systems for fraud and security threats
• Implement AI-driven solutions using LLMs
• Conduct evaluations and iterate on existing models
• Build and support cross-team collaborations
• Provide input on product vulnerabilities
Requirements:
• 4+ years experience in machine learning
• Strong software engineering background
• Familiarity with detection and classification systems
• Experience in Trust and Safety contexts
• Expertise in supervised and unsupervised learning
Leverage your machine learning talents to uphold GitHub's mission in a collaborative setting focused on quality and innovation.
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