ML Researcher – Cybersecurity

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November 26

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Acronis

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Cybersecurity • SaaS • B2B

Acronis is a cyber protection company that provides integrated backup, disaster recovery, and cybersecurity solutions delivered as cloud-native and on-premises software. It offers endpoint protection (EDR/XDR), anti-malware, email and Microsoft 365 protection, RMM and PSA tools, and MSP-focused multi-tenant management to enable service providers and businesses to detect, respond, and recover from cyberthreats. Acronis operates globally with compliant data centers, certifications, and a platform designed to consolidate backup, security, and IT management into a single solution.

1001 - 5000 employees

Founded 2003

🔒 Cybersecurity

☁️ SaaS

🤝 B2B

📋 Description

• 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 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 cybersecurity • 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