Acronis is a global leader in cyber protection, delivering AI-powered protection for productive MSPs in a single, natively integrated platform that unifies operations management, cybersecurity, and data protection. Driven by our mission to protect, manage and automate every workload, we’ve built the industry’s only all-in-one solution. We are looking for a Machine Learning Intern to join us in protecting the digital world
Join Acronis Asia R&D as a Machine Learning 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
- Assist in the evaluation of machine learning models for various cybersecurity applications, including malware detection, anomaly detection, and threat intelligence.
- Collect, clean, and preprocess large datasets for model training and evaluation.
- Conduct experiments, analyze results, and iterate on model improvements.
- Research and evaluate new machine learning algorithms and techniques, especially with agentic approach to model analysis.
- Contribute to the development of robust and scalable ML pipelines.
- Document research findings, code, and model architectures.
- Participate in 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, Machine Learning, Artificial Intelligence, Electrical Engineering, or a related technical field.
- Strong understanding of fundamental machine learning concepts, algorithms (e.g., supervised, unsupervised, reinforcement learning), and statistical methods.
- Proficiency in at least one major programming language such as Python (with libraries like TensorFlow, PyTorch, scikit-learn), Java, or C++.
- Experience with data manipulation and analysis using libraries like Pandas and NumPy.
- Excellent problem-solving skills and an analytical mindset.
- Strong communication and interpersonal skills, with the ability to work effectively in a team environment.
- Eagerness to learn and adapt to new technologies and challenges.
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.
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