Staff Machine Learning Engineer
GitHub
Full-time
Remote
Responsibilities
Conduct thorough analysis of data to identify patterns, trends, and anomalies that indicate potential risks or fraudulent behavior.
Develop and implement machine learning models and algorithms to detect and prevent fraudulent activities, abuse, and security threats.
Utilize Azure Machine Learning services and other relevant technologies to build scalable and reliable machine learning workflows.
Documenting the systems you help build.
Encouraging the technical growth of your peers.
Collaborate closely with cross-functional teams including data scientists, software engineers, product managers and content moderators to integrate machine learning solutions into production systems.
Evaluate and improve existing machine learning models and algorithms based on performance metrics and feedback from operational deployments.
Identifying the vulnerabilities in products that lead to abuse.
Reviewing new products and providing consultation to product teams.
Stay updated with the latest advancements in machine learning, fraud detection techniques, and security protocols to continuously enhance our capabilities.
Qualifications
Required Qualifications
6+ years of experience operationalizing machine learning and data science.
2+ years experience in Trust and Safety, National Security or fighting spam, malware, fraud, and threat actor activity at scale.
2+ years experience in any of these technologies: GraphQL, Flink, Python, SQL, Azure Machine Learning, Kusto.
2+ years experience in Data Visualization or Data Storytelling.
Preferred Qualifications
Experience in responsible AI.
Experience in Safety-by-Design.
Experience with managing user data and privacy.
Strong understanding of machine learning algorithms (supervised and unsupervised learning, anomaly detection, etc.) and their practical implementation.
Excellent problem-solving skills and the ability to translate business requirements into technical solutions.
Experience in deploying machine learning models in production environments.
Compensation Range
The base salary range for this job is USD $118,100.00 - USD $313,300.00 /Yr.
These pay ranges are intended to cover roles based across the United States. An individual's base pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant. At GitHub certain roles are eligible for benefits and additional rewards, including annual bonus and stock. These rewards are allocated based on individual impact in role. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role.
GitHub values
Customer-obsessed
Ship to learn
Growth mindset
Own the outcome
Better together
Diverse and inclusive
Conduct thorough analysis of data to identify patterns, trends, and anomalies that indicate potential risks or fraudulent behavior.
Develop and implement machine learning models and algorithms to detect and prevent fraudulent activities, abuse, and security threats.
Utilize Azure Machine Learning services and other relevant technologies to build scalable and reliable machine learning workflows.
Documenting the systems you help build.
Encouraging the technical growth of your peers.
Collaborate closely with cross-functional teams including data scientists, software engineers, product managers and content moderators to integrate machine learning solutions into production systems.
Evaluate and improve existing machine learning models and algorithms based on performance metrics and feedback from operational deployments.
Identifying the vulnerabilities in products that lead to abuse.
Reviewing new products and providing consultation to product teams.
Stay updated with the latest advancements in machine learning, fraud detection techniques, and security protocols to continuously enhance our capabilities.
Qualifications
Required Qualifications
6+ years of experience operationalizing machine learning and data science.
2+ years experience in Trust and Safety, National Security or fighting spam, malware, fraud, and threat actor activity at scale.
2+ years experience in any of these technologies: GraphQL, Flink, Python, SQL, Azure Machine Learning, Kusto.
2+ years experience in Data Visualization or Data Storytelling.
Preferred Qualifications
Experience in responsible AI.
Experience in Safety-by-Design.
Experience with managing user data and privacy.
Strong understanding of machine learning algorithms (supervised and unsupervised learning, anomaly detection, etc.) and their practical implementation.
Excellent problem-solving skills and the ability to translate business requirements into technical solutions.
Experience in deploying machine learning models in production environments.
Compensation Range
The base salary range for this job is USD $118,100.00 - USD $313,300.00 /Yr.
These pay ranges are intended to cover roles based across the United States. An individual's base pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant. At GitHub certain roles are eligible for benefits and additional rewards, including annual bonus and stock. These rewards are allocated based on individual impact in role. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role.
GitHub values
Customer-obsessed
Ship to learn
Growth mindset
Own the outcome
Better together
Diverse and inclusive