Lead Machine Learning Researcher (AI)

TL;DR

Lead Machine Learning Researcher (AI/ML): Developing and shipping AI/ML and agentic systems for the hirify.global Cyber Protect platform with an accent on intelligent automation, anomaly detection, and user workflow optimization. Focus on designing robust datasets, implementing RAG-based agent frameworks, and converting research into production-grade cybersecurity features.

Location: Singapore

Company

hirify.global is a global leader in cyber protection, delivering natively integrated solutions to monitor, control, and protect critical business data.

What you will do

• Lead the research, prototyping, and shipping of AI/ML and agentic systems for protection, recovery, management, and user workflows.
• Design intelligent automation and assistant-like experiences for configuration, troubleshooting, reporting, and next-best-action guidance.
• Develop and evaluate models for classification, recommendation, prediction, anomaly detection, and correlation using large-scale telemetry.
• Design robust datasets, labeling strategies, and evaluation metrics to measure impact and reduce false positives.
• Partner with product, engineering, and domain experts to convert research into production-grade features with clear UX and guardrails.
• Contribute to scalable data pipelines and MLOps practices for experimentation, deployment, and monitoring.

Requirements

• Master’s or PhD in Computer Science, Machine Learning, or equivalent practical experience.
• 5+ years in applied AI/ML or research engineering delivering ML/LLM capabilities into real products.
• Strong foundation in ML and LLM methods, including RAG and tool-use/agents.
• Proficiency in Python and modern ML frameworks such as PyTorch and HuggingFace.
• Experience working with large, noisy telemetry/event data and strong debugging skills.
• Strong communication skills and comfort collaborating across functions.

Nice to have

• Experience with deployment on Azure AI, AWS SageMaker, or Google Vertex AI.

Culture & Benefits

• Work in a high-growth, fast-paced environment as part of a global "A-Team".
• Corporate culture centered on innovation, accountability, and impact.
• Environment that encourages bold thinking and taking ownership of outcomes.
• Opportunities to work within a global company with 15 offices worldwide.

Hiring process

• Interviews are conducted without the use of AI tools or automated prompts to ensure authentic assessment of skills.
• Candidates may be asked to disable virtual backgrounds or participate in in-person interviews.
• All offers are contingent upon successful completion of criminal, education, and identity background checks.