Member Of Technical Staff Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Designing, training, and deploying ML-powered defenses for Microsoft Copilot to protect users from emerging AI threats with an accent on secure identity flows, prompt injection, and adversarial manipulation. Focus on building adaptive, learning-driven defenses and evaluation frameworks that measure real-world robustness and encode security judgment into AI responses.

Location: Hybrid, expected to work from the office at least four days per week for employees living within a 50-mile commute of a designated Microsoft office in the U.S.

Salary: $119,800 – $234,700 USD per year

Company

hirify.global is at the core of delivering trusted, human-centered AI experiences, focusing on making security and resilience intrinsic to every Copilot interaction.

What you will do

• Design, train, and deploy ML-based defenses against threats like prompt injection and adversarial inputs for Copilot.
• Develop adaptive detection and policy models that learn from evolving attacker behavior.
• Build and own evaluation frameworks for AI security, including adversarial testing and red-teaming support.
• Partner with security and engineering teams to integrate ML defenses into secure orchestration frameworks.
• Apply Machine Learning to encode security “common sense” and judgment into AI responses.
• Monitor and analyze telemetry to improve model performance and guide iterative defense improvements.

Requirements

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in C, C++, C#, Java, JavaScript, or Python, OR equivalent experience.
• 4+ years of hands-on experience building and shipping machine learning systems in production.
• Solid foundation in ML fundamentals, including classification, anomaly detection, representation learning, and model evaluation.
• Proficiency in Python and experience with modern ML frameworks (e.g., PyTorch, JAX, TensorFlow).
• Experience designing end-to-end ML pipelines: data collection, training, evaluation, deployment, and monitoring.
• Ability to reason about adversarial behavior, threat models, and failure modes in AI/ML systems.

Nice to have

• Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience, OR Bachelor’s Degree AND 8+ years.
• Experience working on AI safety, trust, or security-adjacent ML problems (prompt injection, abuse detection, adversarial ML).
• Familiarity with agentic or LLM-based systems, including tool calling, multi-step reasoning, or orchestration flows.
• Experience building ML evaluation and observability systems for real-world AI behavior.
• Exposure to distributed ML systems, large-scale data processing, or model serving in cloud environments.

Culture & Benefits

• Microsoft's mission is to empower every person and organization to achieve more.
• Employees foster a growth mindset, innovate to empower others, and collaborate on shared goals.
• Values of respect, integrity, and accountability to create a culture of inclusion.