Security Research Intern

Acronis is a global leader in cyber protection, delivering natively integrated solutions that monitor, control, and protect the data that businesses and lives depend on. Driven by our passion to protect every workload, we’ve built the industry’s only all-in-one cyber protection platform. We are looking for a Security Research Intern to join us in protecting the digital world.

Join Acronis Asia R&D as a Security Research Intern to contribute to cutting-edge research and development in cybersecurity and data protection. You will work alongside experienced engineers and researchers, applying your skills to real-world challenges and gaining valuable industry experience.

WHAT YOU'LL DO

Support the research and evaluation of machine learning models applied to cybersecurity challenges such as malware detection, anomaly detection, and threat intelligence.
Assist in collecting, cleaning, and preprocessing large cybersecurity datasets used for model training and evaluation.
Conduct experiments to test model performance, analyze results, and help iterate on model improvements.
Research and explore new machine learning approaches relevant to security research, including agent-based or agentic approaches to model analysis.
Contribute to the development and improvement of scalable machine learning pipelines for security-related data processing and experimentation.
Assist in documenting research findings, experimental results, code, and model architectures
Collaborate with the security research and engineering teams through team meetings, code reviews, and knowledge-sharing sessions.

WHO WE’RE LOOKING FOR

Currently pursuing a Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Cybersecurity, Information Security, Software Engineering, or a related technical field
Basic understanding of cybersecurity principles, including malware, vulnerabilities, network security, and common attack techniques.
Familiarity with operating systems (Linux and Windows) and basic system internals.
Basic programming or scripting experience in Python, C/C++, Go, or similar languages.
Interest in malware analysis, threat research, reverse engineering, or vulnerability research.
Strong analytical and problem-solving skills with attention to detail.
Ability to research technical topics independently and clearly communicate findings.
Good teamwork and collaboration skills, with eagerness to learn in a research-oriented environment.

WHO WE ARE

A Swiss company founded in Singapore in 2003, Acronis offers over twenty years of innovation with 15 offices worldwide and more than 1800 employees in 50+ countries. Acronis Cyber Protect is available in 26 languages in 150 countries and is used by over 20,000 service providers to protect over 750,000 businesses.

Our corporate culture centers on innovation, accountability, and impact. We encourage our people to think boldly, challenge conventional approaches, and take ownership of outcomes. As a member of our global “A-Team,” you’ll operate in a high-growth, fast-paced environment where resilience, adaptability, and a commitment to continuous improvement drive success.

OUR INTERVIEW PRACTICES

To ensure a fair and genuine 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 and we value authentic, real-time interaction.

Use of AI or external assistance during live interviews may result in disqualification. For roles where AI skills are being evaluated, permitted use of AI tools will be clearly communicated in advance. Candidates may be asked to disable virtual backgrounds or participate in in-person interviews. All employment offers are contingent upon successful completion of applicable criminal, education and identity background checks

Acronis is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, marital status, national origin, physical or mental disability, medical condition, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, gender identity or expression, or any other characteristic protected by applicable laws, regulations and ordinances

#LI-MC1

Details

Location

Singapore

WHAT YOU'LL DO

Support the research and evaluation of machine learning models applied to cybersecurity challenges such as malware detection, anomaly detection, and threat intelligence.
Assist in collecting, cleaning, and preprocessing large cybersecurity datasets used for model training and evaluation.
Conduct experiments to test model performance, analyze results, and help iterate on model improvements.
Research and explore new machine learning approaches relevant to security research, including agent-based or agentic approaches to model analysis.
Contribute to the development and improvement of scalable machine learning pipelines for security-related data processing and experimentation.
Assist in documenting research findings, experimental results, code, and model architectures
Collaborate with the security research and engineering teams through team meetings, code reviews, and knowledge-sharing sessions.

WHO WE’RE LOOKING FOR

Currently pursuing a Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Cybersecurity, Information Security, Software Engineering, or a related technical field
Basic understanding of cybersecurity principles, including malware, vulnerabilities, network security, and common attack techniques.
Familiarity with operating systems (Linux and Windows) and basic system internals.
Basic programming or scripting experience in Python, C/C++, Go, or similar languages.
Interest in malware analysis, threat research, reverse engineering, or vulnerability research.
Strong analytical and problem-solving skills with attention to detail.
Ability to research technical topics independently and clearly communicate findings.
Good teamwork and collaboration skills, with eagerness to learn in a research-oriented environment.

WHO WE ARE

OUR INTERVIEW PRACTICES

#LI-MC1