Machine Learning Intern (LLM for Security)
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Job Description
About SHEIN:
SHEIN is a global fashion and lifestyle e-retailer committed to making fashion accessible to all. They utilize on-demand manufacturing technology, connecting suppliers to an agile supply chain to reduce inventory waste and offer affordable products worldwide. Founded in 2012, SHEIN has nearly 10,000 employees across offices in over 150 countries, with U.S. headquarters in Los Angeles and global headquarters in Singapore. The company describes its culture as energetic and open.
Job Description: Machine Learning Intern (LLM for Security)
Position Summary:
SHEIN’s global security organization is seeking a highly motivated Machine Learning Intern to develop and apply custom machine learning (ML) models and large language models (LLMs) for cybersecurity applications. This is a full-time, 8-week internship (June 16, 2025 – August 8, 2025) based in the Los Angeles office. The intern will contribute to threat detection, security operations automation, and enhanced threat intelligence using AI/ML techniques.
Responsibilities:
• Develop and optimize custom ML models and LLM agents for security threat detection, anomaly detection, and security operations automation.
• Analyze security data (logs, endpoint events, network traffic, threat intelligence) to identify patterns and train ML models for predictive security insights.
• Fine-tune and experiment with LLMs to enhance Security Operations Center (SOC) workflows, automated incident response, and security knowledge retrieval.
• Implement AI-driven automation for security event triage, alert prioritization, and workflow enhancement.
• Integrate ML models into existing security tooling and platforms, collaborating with security engineers.
• Research and evaluate cutting-edge AI/ML techniques (adversarial ML, self-supervised learning, generative models) for security applications.
• Present findings, prototype results, and document technical research and implementation details.
Requirements:
• Currently pursuing a graduate or advanced undergraduate degree in Computer Science, Data Science, AI/ML, Cybersecurity, or a related field.
• Strong Python programming skills; experience with ML frameworks (TensorFlow, PyTorch, scikit-learn) is a plus.
• Prior experience with LLMs (OpenAI GPT, Llama, Mistral), fine-tuning, and NLP techniques is highly desirable.
• Understanding of cybersecurity concepts (threat detection, incident response, security analytics).
• Experience with structured and unstructured security data (logs, network traffic, SIEM event data).
• Strong analytical and problem-solving abilities; passion for applying AI to security challenges.
• Excellent written and verbal communication skills.
• High level of personal integrity and ability to handle confidential information responsibly.
Preferred Qualifications:
• Experience with vector databases (Pinecone, FAISS) and retrieval-augmented generation (RAG) for LLM applications.
• Familiarity with adversarial machine learning, anomaly detection, and cyber threat intelligence.
• Hands-on experience developing ML-driven security automation workflows (AI-enhanced SIEM/SOAR).
• Knowledge of cloud security (AWS, Azure, GCP) and identity-based threat detection.
Perks (LA Location): Free weekly catered lunch, dog-friendly office, free shuttle service from HQ to LA Union Station.
Perks (All Locations): Complimentary daily office snacks and beverages.
Pay Range: $30 USD – $30 USD
