ML Research Intern in Agentic Runtime Systems
constructortech has an opening for a ML Research Intern in Agentic Runtime Systems in Bremen, Germany. It is listed as a full-time, internship position with hybrid working.
DGJ summary of this job
Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.
constructortech has an opening for a ML Research Intern in Agentic Runtime Systems in Bremen, Germany. It is listed as a full-time, internship position with hybrid working.
Skills and tools named in the text include Python, Rust, LLM and research.
No salary is given in this listing, so check the official pay figures in the DGJ Insight section below where they exist.
Benefits mentioned in the advert: paid time off, bonus and flexible hours.
The advert does not mention visa sponsorship. If you would move to Germany for this job, check the official work permit route first (DGJ Insight lists it where we have it).
Dev Global Jobs found this job on Arbeitnow on Nov 4, 2026; the apply link was last checked on Nov 6, 2026.
- Employer
- constructortech
- Location
- Bremen, Germany
- Work mode
- hybrid
- Job type
- Full-time
- Level (from the title)
- internship
- Pay
- Not stated by the employer
- Found
- Nov 4, 2026 on Arbeitnow
- Employer text
- 532 words, about 2 min to read
- Apply only on the official page (arbeitnow.com). Dev Global Jobs is not the employer and never asks for a fee.
- Mirror the skills the advert names (Python, Rust, LLM and research) in your CV where you really have them; applicant tracking systems look for these words.
- Read the employer’s full text below (about 2 min) before you apply.
- Build or check your CV with the free DGJ CV Builder.
DGJ Insight
Our own data about this role and place, from official statistics and our live job index.
Source: OECD Average annual wages, 2025
- EU Blue Card: Recognised degree and a job offer above the salary threshold
- Skilled worker visa (Fachkräfte): Recognised qualification and a job offer
- Opportunity Card (Chancenkarte): Points-based job search for up to one year
Official routes: Make it in Germany (Federal Government portal)
Answered at our last check on Nov 6, 2026.
About the role
Full text from the employer, as published on Arbeitnow, arranged into sections. Nothing added or removed.
01Our 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.
02The 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.
03What 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. You will build verification layers that force the agent to recognize its own hallucinations and self-correct.
- You will implement systems where the agent compiles its own constraints and the harness enforces them via constrained decoding or external execution.
- You will optimise KV-cache hit rates and design "restorable compression" strategies to prevent attention decay.
04Who We Are Looking For
We are looking for systems thinkers who happen to know ML, not the other way around.
- You know that a demo is not a product. You are interested in the "boring" engineering: state machines, retries, idempotency, serialisation, that actually makes agents work.
- You are comfortable working with the raw output of the model and building robust software in Python or Rust around it.
- You understand why dynamic tool loading destroys inference economics. You prefer deterministic guardrails over "prompting it to be nicer."
- You are willing to read a 500-line trace of a failed agent loop to find the exact moment the context drifted. You care about the "last mile" of reliability.
05What We Offer For Interns
- Internship Duration: from 2 months or more
- Type of internship:
- 100% remote
- or hybrid in the office in Bremen (GER), Sofia (BG), Belgrade (SRB), Istanbul (TR), Sakarya (TR), Singapore (SGD)
06What We Offer
- 💻 Choice of work equipment (e.g., laptop, monitor, etc.)
- 🇬🇧 English classes (iTalki, $130 monthly)
- ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00)
- 👶 Newborn bonus (€500 per child)
- 🧠 Patent remuneration
- 🌴 Paid leave
- 🧑💻 Remote work in locations without our offices
- Hybrid work in locations with offices (2 days in-office, 3 days remote)
Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.
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