Research Scientist

Brief Job Description Researches and prototypes the capabilities that power Constructor’seducation products — applying AI and quantum through an education lens toimprove how people teach, learn, and do research, rather than pursuing AI orquantum science as an end in itself. Forms hypotheses, designs and runsexperiments, interprets results, and turns validated findings into working codethat feeds product and engineering pipelines. Works independently, sets its ownresearch agenda within the broader product strategy, and produces high-qualitywork that moves the platform and its users forward. Works closely with researchassociates, ML engineers, and technical leadership to make sure the work hasreal-world impact across the AI software development project. Requires 7+ yearsof applied research experience — ideally in education technology or applied AI— with a track record of turning research into products that ship. Mission Setand pursue a research agenda that produces results worth shipping — then makesure 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 researchexperience. A track record of impact through research that shipped intoproducts, patents, or publications. Responsibilities · Set a research agenda aimed atreal product and platform problems, within the broader strategy. · Design and run rigorousexperiments; interpret results and decide what to take forward. · Turn validated findings intoproof-of-concept code, drive it to production, and benchmark its impact in realproducts. · Deliver results as workingproof-of-concept code first; reports, publications, or patents follow onlywhere they add value — never in place of running code. · Mentor research associates,guide experimental direction, and partner with ML engineers to ship the work. Qualifications &Experience · 7+ years of applied research orresearch-engineering experience — ideally in education technology or appliedAI. · Proven track record of researchthat reached production or had measurable real-world impact(publications/patents a strong plus). · Deep expertise in experimentdesign, modelling, and result interpretation. · Strong hands-on coding (Python,PyTorch) — ships runnable proof-of-concept code, not just designs; reproduciblework via version control (GitLab) and experiment tracking (MLflow). · Able to work autonomously andbalance scientific rigour against shipping speed. Nice to Have · Track record of moving researchinto production ML systems at speed. · Experience withAI-for-education products, or a quantum computing / quantum machine learningbackground. · History of mentoringresearchers or leading a small research team.