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.Contributes hands-on across the applied-research cycle behind Constructor’s education products — surveying recent work, designing and running experiments, analysing results, and prototyping capabilities that apply AI and quantum through an education lens to improve how people teach, learn, and do research. Works closely with research scientists, engineering, and product teams, and helps turn early-stage ideas into working features that feed the AI software development project. Requires 3+ years of research experience — ideally in education technology or applied AI — with a track record of delivering solid, hands-on output in a fast-paced, multidisciplinary setting.
Mission:Do the hands-on experimental work that turns promising ideas into working proof-of-concept code — quickly, and backed by evidence the product and engineering teams can build on.
Education:- Master’s or PhD (or near-completion) in Computer Science, Physics, Mathematics, or a related field — or equivalent applied research experience. Shipped research prototypes, open-source contributions, or publications all count.
- Scan recent research and turn relevant techniques into prototypes the team can test fast.
- Design, implement, and run experiments; analyse results and decide what’s worth taking forward.
- Deliver each idea as working proof-of-concept code — clean enough to hand to engineering, not just a written summary.
- Help integrate validated research into product features and measure the impact.
- Work day to day with research scientists, ML engineers, and product teams to move ideas from notebook to product.
- 3+ years of applied research or research-engineering experience — ideally in education technology or applied AI.
- Strong Python and PyTorch — able to produce runnable code others can extend, not just specs.
- Sound grasp of experiment design, statistics, and result analysis.
- Able to read recent papers and reproduce or adapt their methods into working code quickly.
- Reproducible, well-documented work using version control (GitLab) and experiment tracking (MLflow).
- Experience taking research prototypes into production or shipped product features.
- Publications, preprints, or open-source contributions in AI or related areas.
- Exposure to AI-for-education products, or to quantum computing frameworks.
- 💻 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
- 3+ years of applied research or research-engineering experience
- Master's or PhD (or near-completion) in Computer Science, Physics, Mathematics, or a related field, or equivalent applied research experience
- Strong Python
- Strong PyTorch
- Sound grasp of experiment design, statistics, and result analysis
- Ability to read recent papers and reproduce or adapt methods into working code quickly
- Reproducible, well-documented work using version control (GitLab) and experiment tracking (MLflow)
- Shipped research prototypes, open-source contributions, or publications (counts as equivalent evidence)
- Experience taking research prototypes into production or shipped product features
- Exposure to AI-for-education products or quantum computing frameworks
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.
