CENSUS SA
Skills: Python, SQL, Docker
The start date for this internship is rolling (each intern starts when hired and ready) and will run for up to 6 months.
🔎 Are you excited to build real AI systems—not side projects—and see your work ship into production? Do you want to turn your passion for machine learning into hands-on expertise on security-relevant AI?
💡 CENSUS AI / ML / Data Science Internship is your opportunity to gain world-class expertise, hands-on experience, and mentorship from top AI professionals. We are hiring 3–4 interns to join our AI team and contribute to production AI systems and products—empowering the next generation of engineers to build, evaluate, and improve LLM-powered features on security data.
Why Join?
🔹 Elite Training: Learn from world-class AI and cybersecurity experts. 🔹 Hands-on AI: Work on high-impact projects across LLM features, evaluations, datasets, and fine-tuning. 🔹 Mentorship: Be guided by a named AI-team mentor, with code review on every pull request. 🔹 Remote Work Model: Fully remote in Europe. 🔹 Career Opportunities: Prove your skills and earn a junior / full-time job offer at CENSUS—sometimes before the 6 months are up! 🔹 Paid Internship: Because talent deserves recognition.
What You’ll Do
🔹 Build and improve LLM-based features, and the evaluations that measure them. 🔹 Tackle early-stage research projects in AI and machine learning. 🔹 Build datasets and fine-tune open models on security data.
Who We’re Looking For
🚀 Required Skills: 🔹 A curious, problem-solving mindset—always eager to explore, learn, and improve. 🔹 Strong Python, and code that others can read and review. 🔹 A solid grasp of machine learning fundamentals and of how LLMs are used in practice. 🔹 Evidence of real work, such as AI projects you built. 🔹 Good written English, and the habit of backing claims with evidence.
✨ Bonus Skills (Make Your Application Stand Out!):
🔥 Published papers or ongoing research.
🔥 Experience with RAG or agent systems. 🔥 Fine-tuning LLMs (LoRA, SFT, DPO) or building evaluation…
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