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.Researches and prototypes the capabilities that power Constructor’s education products — applying AI and quantum through an education lens to improve how people teach, learn, and do research, rather than pursuing AI or quantum science as an end in itself. Forms hypotheses, designs and runs experiments, interprets results, and turns validated findings into working code that feeds product and engineering pipelines. Works independently, sets its own research agenda within the broader product strategy, and produces high-quality work that moves the platform and its users forward. Works closely with research associates, ML engineers, and technical leadership to make sure the work has real-world impact across the AI software development project. Requires 7+ years of applied research experience — ideally in education technology or applied AI — with a track record of turning research into products that ship.
Mission:Set and pursue a research agenda that produces results worth shipping — then make sure they land in the products and engineering pipelines that depend on them.
Education:- PhD in Computer Science, Physics, Mathematics, or a related field — or equivalent applied research experience. A track record of impact through research that shipped into products, patents, or publications.
- Set a research agenda aimed at real product and platform problems, within the broader strategy.
- Design and run rigorous experiments; interpret results and decide what to take forward.
- Turn validated findings into proof-of-concept code, drive it to production, and benchmark its impact in real products.
- Deliver results as working proof-of-concept code first; reports, publications, or patents follow only where they add value — never in place of running code.
- Mentor research associates, guide experimental direction, and partner with ML engineers to ship the work.
- 7+ years of applied research or research-engineering experience — ideally in education technology or applied AI.
- Proven track record of research that reached production or had measurable real-world impact (publications/patents a strong plus).
- Deep expertise in experiment design, modelling, and result interpretation.
- Strong hands-on coding (Python, PyTorch) — ships runnable proof-of-concept code, not just designs; reproducible work via version control (GitLab) and experiment tracking (MLflow).
- Able to work autonomously and balance scientific rigour against shipping speed.
- Track record of moving research into production ML systems at speed.
- Experience with AI-for-education products, or a quantum computing / quantum machine learning background.
- History of mentoring researchers or leading a small research team.
- 💻 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 CET or EET)
- 👶 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.
Skills Required
- PhD in Computer Science, Physics, Mathematics, or related field or equivalent applied research experience.
- 7+ years of applied research or research-engineering experience.
- Proven track record of research that reached production or had measurable real-world impact (publications or patents strong plus).
- Deep expertise in experiment design, modelling, and interpreting results.
- Strong hands-on coding in Python and PyTorch; able to ship runnable proof-of-concept code.
- Experience with version control (GitLab) and experiment tracking (MLflow) for reproducible work.
- Ability to work autonomously and balance scientific rigour with shipping speed.
- Experience mentoring research associates or guiding experimental direction.
- Experience in education technology or applied AI.
- Quantum computing or quantum machine learning background.
- Track record of moving research into production ML systems at speed.
What We Do
Constructor group is a global institution dedicated to creating knowledge through science, education, and technology. Our integrated, self-sustainable ecosystem focuses on the five fundamental technology needs expected to contribute to solving the current challenges of the world: general intelligence, quantum technology, intelligent materials, hybrid reality, and life engineering.Our knowledge ecosystem combines extensive education offers covering the entire learning lifecycle from K-12 to post-graduate programs and courses for executives, highly efficient research capacities, and commercial operations for our technology breakthroughs.The Constructor ecosystem comprises Constructor University, a non-profit, research-oriented private university located in Bremen, Germany, and an institute in Schaffhausen.Several ventures market our technology innovations: Alemira and Learning focus on advanced solutions in Educational Technology, executive education, and consulting services. Rolos delivers a platform boosting research productivity and develops MI for robotics and driverless mobility. Capital and Start Garden further strengthen our ecosystem by offering funding and start-up incubation capacities.
