ML Research Intern in Agentic Runtime Systems

Overview

Our mission Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. Pleas

What you'll do

• Our mission Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency.
• With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students.
• Please send your resume in English only.
• Interns are NOT eligible for equipment and other benefits as the position is temporary.
• The Reality The frontier models are converging into commodities; the engine is no longer the differentiator.
• The scarcity in 2026 is not the model.
• We are not looking for people to fine-tune Llama on toy datasets or write "better prompts." We are building the runtime systems that turn probabilistic token generation into reliable workers that finish 50-step tasks without spiraling.
• We are solving the math of multi-step reliability through engineering, not wishful thinking.
• What You Will Solve You will work on the Agentic Harness , treating the LLM as a component within a larger, deterministic control system.
• Your research will focus on: Architecting loops that survive error accumulation.

Who can apply

• Practical experience with Internship.
• Experience level: 0-1 yrs.
• Strong written and verbal communication in English.
• Comfortable working on-site in Bremen.

Skills