Machine Learning Engineer Project Intern
ByteDance
Posted 14 Nov 2026, 04:59 ET
This job at a glance
- Who can apply
- New grads and up to 1 year
- Must know
- Vulnerability managementPythonJavaC++Deep learningStatistics
- Nice to have
- Machine learningData structures & algorithms
- Work
- On-site in San Jose · internship
- Pay
- Not stated by the employer.
- Skill demand
- Python70%Java11%C++9%Vulnerability management1%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 14, 2026 · still open
Sign in free to see which of these skills your resume already shows.
About the Role
Project Intern role within the Security Engineering team at ByteDance, with a 2026 start. This internship offers exposure to the company's security initiatives, scalable and secure-by-design systems, and the full lifecycle of security products and services. Interns will engage in impactful short-term projects, gain practical skills through on-the-job learning, and develop a deeper understanding of career interests. Successful candidates must commit to at least a 3-month internship.
Key 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, including:
- Data synthesis
- Model post-training (SFT/GRPO/Agent)
- Model acceleration and distillation
- Exploring technical boundaries
Requirements & Tech Stack
- C++, Java, Python
- Familiarity with at least one common machine learning/deep learning platform.
- Proficient in common algorithms and theories of data mining, including:
- Data denoising
- Statistical learning
- Classification and clustering
- Anomaly detection
- Graph learning
- Experience in big data processing, proficient in using Hive, SQL, Spark, Flink for big data analysis and mining.
Qualifications
- 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.
- Proven skills with common algorithms and theories of data mining.
- Proven experience in big data processing.
- Preferred: Ability to implement machine learning algorithms and relevant practical experience.
- Preferred: Enthusiastic about challenging things, with self-drive, fast learning ability, good communication skills and innovative thinking.