Security Threat Detection Data Jobs

1 job found

1d ago

Machine Learning Engineer

GitHub, Inc. Remote 📍 United States Remote

Remote

1d ago

$108k - $286k/yr Full time Agentic Ai Ai Enabled Security Ai Security

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Job Description

GitHub, Inc. is hiring an experienced Machine Learning Engineer to design, build, and deploy agentic LLM-based solutions that help detect and prevent fraud, abuse, and security threats across GitHub at scale. The role also involves identifying vulnerabilities tied to abuse, performing ad-hoc analysis, and assessing the impact of safety and integrity initiatives.

Responsibilities

Design, build, and deploy agentic solutions using large language models for large-scale detection and prevention of fraud, abuse, and security threats, including content classification and multi-step agentic investigations.
Build production-grade systems that operate reliably against high-volume event streams, leveraging AI coding assistants to accelerate and improve development.
Develop and operate scalable machine learning systems on cloud platforms, including Azure AI Foundry, to train, deploy, and serve models and agentic solutions in production.
Evaluate and improve existing models and agentic solutions through offline evaluations, including tool-use loops and LLM-as-judge evaluation, along with performance metrics and feedback from operational deployments.
Identify vulnerabilities in products that can lead to abuse and consult with product teams during reviews of new features.
Collaborate with cross-functional teams, including data scientists, software engineers, product managers, and content moderators, to integrate agentic solutions into production systems.
Document the systems you help build and support the technical growth of peers.

Requirements

4+ years of experience in machine learning or a related field; or a Bachelor’s degree in Computer Science, Software Development, Electrical or Computer Engineering, Mathematical Sciences, or a related field plus 2+ years of machine learning experience; or a Master’s degree in Machine Learning or related fields; or equivalent experience.
Strong understanding of large language models, including hands-on experience applying them at scale, ideally for classification and agentic workflows or agents.
Strong software engineering skills, including experience building with AI coding assistants.
Experience designing or evaluating agentic systems, such as tool-use loops, multi-step workflows, or LLM-as-judge evaluation.
Hands-on experience building and operating classification or detection systems at scale, including work with imbalanced data and precision/recall tradeoffs.
Experience in Trust and Safety, National Security, or fighting spam, malware, fraud, and threat actor activity at scale.
Experience in responsible AI and Safety-by-Design.
Experience handling user data and privacy.
Solid understanding of machine learning algorithms (supervised and unsupervised learning, anomaly detection, etc.) and practical implementation.

Technologies

Large language models (LLMs)
Azure AI Foundry
Tool-use loops
LLM-as-judge evaluation
AI coding assistants
Machine learning
Precision/recall tradeoffs

What We Value

Collaboration
Empathy
Quality
Positive Impact
Shipping

Compensation

The base salary range for this role is USD $107,700.00 to USD $285,900.00 per year.

Locations

Remote (United States)

Leadership Principles

GitHub values: Customer-obsessed, Ship to learn, Growth mindset, Own the outcome, Better together, Diverse and inclusive
Manager fundamentals: Model, Coach, Care
Leadership principles: Create clarity, Generate energy, Deliver success

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