Member Of Technical Staff – Machine Learning Engineer (AI)

TL;DR

Member of Technical Staff – Machine Learning Engineer (AI): Designing, training, and deploying ML‑based defenses for threats to protect Copilot users from prompt injection, adversarial inputs, and abuse of agentic workflows with an accent on adaptive detection and policy models that learn from evolving attacker behavior. Focus on encoding security “common sense” and judgment into AI responses, balancing usefulness, safety, and user intent.

Location: hirify.global AI (MAI) employees who live within a 50- mile commute of a designated hirify.global office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week.

Salary: USD $158,400 – $258,000 per year (New York City metropolitan area)

Company

hirify.global’s mission is to empower every person and every organization on the planet to achieve more.

What you will do

• Design, train, and deploy ML‑based defenses for threats such as prompt injection, adversarial inputs, and abuse of agentic workflows.
• Develop adaptive detection and policy models that learn from evolving attacker behavior.
• Build and own evaluation frameworks for AI security.
• Integrate ML defenses into secure orchestration frameworks that govern agent delegation, tool calling, and action execution.
• Monitor and analyze telemetry to improve model performance, reduce false positives/negatives.
• Collaborate cross‑functionally with product, privacy, and AI platform teams to land agentic security patterns.

Requirements

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• 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 with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Experience working on AI safety, trust, or security‑adjacent ML problems, including prompt injection, abuse detection, or adversarial ML.
• Familiarity with agentic or LLM‑based systems.
• Exposure to distributed ML systems, large‑scale data processing, or model serving in cloud environments.

Culture & Benefits

• Employees come together with a growth mindset, innovate to empower others, and collaborate to realize shared goals.
• Build on values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.