About the Role
GitHub is seeking a Senior Machine Learning Engineer to join our Platform Health team. This role is pivotal in ensuring the safety and integrity of our platform by identifying and combating fraud, abuse, and security threats through advanced machine learning techniques.
Responsibilities
- Data Analysis: Conduct thorough analysis to identify patterns, trends, and anomalies indicating potential risks or fraudulent behavior.
- Model Development: Develop and implement machine, deep learning models, and algorithms to detect and prevent fraudulent activities and security threats.
- Technology Utilization: Utilize Azure Machine Learning services and other relevant technologies to build scalable and reliable machine learning workflows.
- Documentation: Document the systems you help build and encourage the technical growth of your peers.
- Cross-functional Collaboration: Work closely with data scientists, software engineers, product managers, and content moderators to integrate machine learning solutions into production systems.
- Continuous Improvement: Evaluate and improve existing machine learning models and algorithms based on performance metrics and feedback from operational deployments.
Qualifications
- Experience: 2+ years of experience operationalizing machine learning and data science. 1+ year experience in technologies like GraphQL, Flink, Python, SQL, Azure Machine Learning, Kusto.
- Skills: Strong in Data Visualization, Data Storytelling, and possess excellent written and verbal communication skills.
- Preferred: Experience in Trust and Safety, National Security, or fighting spam, malware, fraud, and threat actor activity at scale. Knowledge in responsible AI and Safety-by-Design.
GitHub Values
- Customer-obsessed
- Ship to learn
- Growth mindset
- Own the outcome
- Better together
- Diverse and inclusive
Why Join GitHub?
Join a team of dreamers, doers, and pioneers at the world’s leading AI-powered developer platform. Enjoy remote-first work, competitive pay, generous learning opportunities, and excellent benefits. Help us change the world, together.
Benefits Extracted with AI
- Competitive salary
- Remote work flexibility
- Annual bonus
- Stock options
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