Hybrid ML Researcher – Cybersecurity

at Acronis

• Job title: ML Researcher – Cybersecurity
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Tech skills: Cyber Security, Python, PyTorch
• Location requirements: Hybrid, Bulgaria

About the role

• Machine Learning Researcher focusing on innovative AI and intelligent automation for cybersecurity. Driving research in Agentic AI and collaborating with cross-functional teams for production-grade features.

Responsibilities

• Research and prototype Agentic AI models and autonomous reasoning frameworks for cybersecurity use cases (threat detection, incident triage, response recommendations, attack simulation, etc.)
• 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 or internal reports, and clearly communicate research impact to both technical and non-technical audiences
• Stay ahead of the curve in AI/ML, autonomous agents, cybersecurity analytics, and LLM-based reasoning
• Act independently on research directions and manage priorities with minimal supervision.

Requirements

• Master’s or PhD in Computer Science, Machine Learning, or related field
• 3+ years of experience in AI/ML research or applied ML, ideally in the context of 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
• Understanding of cybersecurity concepts such as malware behavior, intrusion detection, or incident response workflows is a plus.
• Excellent communication skills — able to summarize complex topics clearly and effectively
• Self-driven, curious, and capable of managing end-to-end research projects independently.

Benefits

• Health insurance
• Flexible work arrangements
• Professional development opportunities