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

ByteDance
San Jose
Workplace: OnsiteInternshipFunction: Data Science & Machine LearningSkills: ["Self-drive","Fast learning","Communication","Innovative thinking"]

Build and apply large-model solutions for security use cases. Work with a security engineering team to improve model performance, train vertical security models, and support tasks like code analysis, vulnerability detection, attack research, threat intelligence, and secure development lifecycle workflows. Contribute to end-to-end ML pipelines using data synthesis and model post-training (e.g., SFT/GRPO/Agent), plus acceleration and distillation, delivering impactful short-term project outcomes.

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FursaFursa
ByteDance
ByteDance
1 month ago

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

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Source: Company careers pageValidated by: Fursa AI
Last checked: 30 days agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Build and apply large-model solutions for security use cases. Work with a security engineering team to improve model performance, train vertical security models, and support tasks like code analysis, vulnerability detection, attack research, threat intelligence, and secure development lifecycle workflows. Contribute to end-to-end ML pipelines using data synthesis and model post-training (e.g., SFT/GRPO/Agent), plus acceleration and distillation, delivering impactful short-term project outcomes.
Location: San Jose
Workplace: Onsite
Employment Type: Internship
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Improve the intelligent upper limit of large models for security applications.
  • •Train vertical large models and apply them to security tasks such as code analysis, vulnerability detection, attack research/judgment, and threat intelligence.
  • •Apply and innovate large-model technology stacks including data synthesis and model post-training (SFT/GRPO/Agent).
  • •Use model acceleration and distillation techniques while exploring technical boundaries.
  • •Engage in impactful short-term projects across phases of security product/service lifecycle.

Key Requirements

  • •Currently pursuing an undergraduate or postgraduate degree/master in Computer Science, Computer Engineering, Security, Statistics, Artificial Intelligence, or a related STEM field.
  • •Proven coding ability in C++, Java, or Python, with experience using at least one common machine learning/deep learning platform.
  • •Strong knowledge of data mining algorithms, including data denoising/statistical learning/classification and clustering/anomaly detection/graph learning.
  • •Experience with big data processing and big data analysis using Hive, SQL, Spark, and Flink.
  • •Preferred: ability to implement machine learning algorithms, plus self-drive, fast learning, good communication, and innovative thinking.
Experience:SecurityMachine learningDeep learningBig data
Education:
Skills:Self-driveFast learningCommunicationInnovative thinking
Tech Stack:C++JavaPythonSQLHiveSparkFlinkMachine learningDeep learningData synthesisSFTGRPOAgentModel post-trainingModel accelerationDistillation

Company Brief

ByteDance
Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Headquarters: Beijing, China
Founded: 2012
WebsiteLinkedIn