Cybersecurity Internship; unpaid at BALANXBio

Overview

Cybersecurity Internship (unpaid) job higan. Please send your application to:  Applications through Wellfound will NOT be considered.

• Assist in monitoring and analyzing security alerts, vulnerabilities, and potential threats to AI systems and infrastructure.
• Support the development and testing of AI/ML models for anomaly detection, predictive threat analytics, and vulnerability scanning.
• Conduct research on emerging cybersecurity trends, AI-specific risks (e.g., model poisoning, data privacy), and best practices; summarize findings in reports or presentations.
• Participate in incident response simulations, red teaming exercises, and compliance audits for AI deployments.
• Collaborate with cross-functional teams to implement security tools, automate processes, and enhance data protection measures.
• Contribute to documentation, whitepapers, and internal knowledge bases on cybersecurity topics.
• Engage in team meetings, brainstorming sessions, and professional development activities to foster innovative solutions.

• Currently enrolled in a Bachelor’s or Master’s program in Computer Science, Cybersecurity, Information Security, Electrical Engineering, or a related field (must have completed at least 2 years of study).
• Fundamental knowledge of cybersecurity principles, including encryption, network security, intrusion detection, and risk assessment.
• Familiarity with AI/ML concepts, such as machine learning frameworks (e.g., Tensor Flow, PyTorch) and their applications in security.
• Proficiency in programming languages like Python, with experience in scripting for automation or data analysis.
• Strong analytical, problem-solving, and communication skills; ability to work independently and in a team environment.
• Preferred:
  Hands-on experience with cybersecurity tools (e.g., Wireshark, Nmap), certifications (e.g., CompTIA Security+), or participation in CTFs/hackathons.
• Bonus:
  Interest in AI ethics, large language models (LLMs), or retrieval-augmented generation (RAG).

• Hands-on experience securing AI/ML systems, including model hardening, anomaly detection, predictive threat analytics, and vulnerability scanning
• Direct mentorship from senior cybersecurity engineers, founders, and AI security specialists
• Exposure to the full security lifecycle: monitoring, detection, incident response, red teaming, compliance, and hardening AI infrastructure
• Collaboration with a cross-functional team, including Product Design, Bio, AI/ML Engineering, and Infrastructure
• Opportunity to build portfolio-ready security projects, including threat models, detection pipelines, and research reports
• Fast-paced, high-growth startup environment with rapid skill development and technical ownership
• Consideration for future paid roles, advanced technical tracks, and potential long-term placement as the company scales
• Recommendation letter upon successful completion of the internship
• A chance to make a real impact on a product that users interact with every day