Machine Learning Engineer Project Intern (Security-Data) - 2026 Start (BS/MS)

Summary

ByteDance is a company focused on inspiring creativity and enriching life through innovative products. They are seeking a Machine Learning Engineer Project Intern to engage in impactful short-term projects within the security engineering team, contributing to the development of scalable and secure systems.

Responsibilities

• Improving the intelligent upper limit of large models in the security field
• Training vertical large models and applying them to security tasks, such as code analysis, vulnerability detection, attack research and judgment, threat intelligence, SDLC (Secure Development Lifecycle)
• Deeply applying and innovating large model technology stacks, such as data synthesis, model post-training (SFT/GRPO/Agent), model acceleration and distillation, exploring technical boundaries

Skills

• Undergraduate, or Postgraduate who is currently pursuing a degree/master in Computer Science, Computer Engineering, Security, Statistics, Artificial Intelligence, or other STEM disciplines
• Proven experience with C++/Java/Python, with excellent coding ability, and at least familiar with one common machine learning/deep learning platform
• Proven skills with common algorithms and theories of data mining, including data denoising/statistical learning/classification and clustering/anomaly detection/graph learning and other algorithms
• Proven experience of relevant experience in big data processing, proficient in using Hive, SQL, Spark, Flink for big data analysis and mining
• Have the ability to implement machine learning algorithms, and those with relevant practical experience are preferred
• Enthusiastic about challenging things, with self-drive, fast learning ability, good communication skills and innovative thinking

Qualifications

Must Haves

• Undergraduate, or Postgraduate who is currently pursuing a degree/master in Computer Science, Computer Engineering, Security, Statistics, Artificial Intelligence, or other STEM disciplines
• Proven experience with C++/Java/Python, with excellent coding ability, and at least familiar with one common machine learning/deep learning platform
• Proven skills with common algorithms and theories of data mining, including data denoising/statistical learning/classification and clustering/anomaly detection/graph learning and other algorithms
• Proven experience of relevant experience in big data processing, proficient in using Hive, SQL, Spark, Flink for big data analysis and mining

Nice to Haves

• Have the ability to implement machine learning algorithms, and those with relevant practical experience are preferred
• Enthusiastic about challenging things, with self-drive, fast learning ability, good communication skills and innovative thinking

Benefits

• Interns have day one access to health insurance, life insurance, wellbeing benefits and more.
• Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).
• Interns who are not working 100% remote may also be eligible for housing allowance.