Remote Machine Learning Engineer at GitHub

Join GitHub as a Machine Learning Engineer focusing on agentic solutions. Contribute to fraud detection, user safety, and collaborative development from the comfort of your home in Ontario, Canada. In this remote role, you'll leverage your expertise in machine learning to design, build, and deploy scalable systems aimed at combating abuse and ensuring a secure platform.

Your work will involve identifying vulnerabilities in GitHub, integrating solutions with cross-functional teams like data scientists and software engineers, and documenting technical processes. This is an opportunity to make a positive impact in the tech community by enhancing platform integrity and user safety. Key Responsibilities:

• Design agentic solutions using large language models
• Build reliable, production-grade ML systems
• Operate scalable ML systems on cloud platforms
• Evaluate and improve existing models and solutions
• Consult on product vulnerabilities and new features Requirements:
• 4+ years experience in machine learning
• Strong understanding of large language models
• Experience in Trust and Safety
• Proven software engineering skills
• Knowledge of machine learning algorithms Enhance GitHub's security and user experience through your machine learning expertise while collaborating with diverse teams.