TL;DR
ML Researcher (Cybersecurity): Driving innovation in cybersecurity by researching and prototyping Agentic AI models and machine learning algorithms for threat detection, incident response, and anomaly analysis with an accent on transforming research results into production-grade AI features. Focus on developing and evaluating complex machine learning algorithms and contributing to scalable ML architectures.
Location: Onsite in Bulgaria
Company
hirify.global is a world leader in cyber protection, delivering natively integrated solutions that monitor, control, and protect the data that businesses depend on.
What you will do
- Research and prototype Agentic AI models and autonomous reasoning frameworks for cybersecurity use cases.
- Develop and evaluate machine learning algorithms for behavioral detection, anomaly analysis, and alert correlation.
- Collaborate with cybersecurity researchers, data engineers, and product teams to transform research results into production-grade AI features.
- Analyze large-scale telemetry and security datasets to derive actionable insights and support model improvement.
- Contribute to architecture and data pipeline design for scalable ML experiments and model deployment.
- Present findings, write technical papers, and clearly communicate research impact to various audiences.
Requirements
- Master’s or PhD in Computer Science, Machine Learning, or a related field.
- 3+ years of experience in AI/ML research or applied ML, ideally in cybersecurity, threat detection, or automation.
- Solid understanding of LLMs, reinforcement learning, retrieval-augmented generation (RAG), and agentic frameworks.
- Strong proficiency in Python and modern ML frameworks (PyTorch, HuggingFace, LangChain, etc.).
- Experience with data engineering and working with large, noisy datasets.
- Excellent communication skills and the ability to manage end-to-end research projects independently.
Nice to have
- Understanding of cybersecurity concepts such as malware behavior, intrusion detection, or incident response workflows.
Culture & Benefits
- Work in a fast-paced, globally distributed environment.
- Be part of a team driven by passion to protect every workload.
- Contribute to a corporate culture focused on making a positive impact, mutual trust, and respect.
- Opportunity to play an instrumental role in an innovative and expanding business.
- Values individuals who excel in dynamic, global environments and have a never give up attitude.
Hiring process
- Candidates are expected to participate in interviews without the use of AI tools, automated prompts, or third-party assistance.
- Interviews are designed to assess individual skills, experience, and communication style, valuing authentic, real-time interaction.
- Use of AI or external assistance during live interviews may result in disqualification.
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