Company Mission & Product
We believe that
everyone can have equal and unconstrained access to educational experiences on par with Oxford, Cambridge, CalTech, et cetera. We believe that this can be achieved with a new class of learning tools, which combine advances in cognitive science, language models, and datasets. We are building these tools in England.
Our first product, Grasp
Concepts, enables students to disambiguate and learn concepts through great online explanations and is deployed with design partners including Imperial College London. Our second product, Grasp
Pathways, decomposes learning goals and suggests flexible learning trajectories to reach them, using reputable learning resources like books and lectures, and is in private alpha. An on-demand, online oxbridge-like experience.
Team and Funding
We've raised significant capital from top tier investors including Balderton Capital, Mozilla (yes, Firefox), and Point9. Our founder Ed built the Payments and Trading products at Revolut alongside his bachelors and masters degrees. He was also one of a handful of investors at DST Global. Our team have backgrounds in elite institutions including Revolut, Huawei, Max-Planck Institute, Oxford, and Cambridge. We're building something so hard we cannot afford to work with anyone but the best.
R&D Engineering at Grasp
You will be an individual contributor in a team researching and developing ML and AI-based features. These features directly solve problems for
online self-directed learners. As an individual contributor, you will be expected to take a high degree of initiative when new problems present themselves. You will work with most of your colleagues (designers, engineers, founder) on a daily basis and directly interact with users during testing. The company is flat and collaborative in structure. You should find our mission and the products you build compelling, i.e. you like learning new things in your free time.
Tech
Backend: Python, FastAPI, UV for package management (we have a monorepo), domain driven design, events-based architecture
Frontend: Typescript, React, Bun for package management (monorepo again), Tailwind CSS, Shadcn
Infra: GCP, k8s
Requirements
- 3-5 years programming and software engineering in industry, working with Python
- 2+ years researching and developing AI based features
- Bachelors degree or higher in Computer Science, Physics, Mathematics, Electronic Engineering, or similar
Benefits
- Reasonable London salary
- Employee options scheme (EMI)
- Office-based team
- Access to all Grasps learning tools for your personal self-study
- Dinner/Breakfast
- Statutory pension (NEST)
- GPUs