About the Company
Company Mission & Product
We believe that everyone can have equal and unconstrained access to educational experiences on par with Oxford, Cambridge, CalTech, etc. This can be achieved with a new class of learning tools that combine advances in cognitive science, language models, and datasets. We are building these tools in England.
- 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.
- 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.
Team and Funding
We've raised significant capital from top-tier investors including Balderton Capital, Mozilla, and Point9. Our founder, Ed, built the Payments and Trading products at Revolut and was also one of a handful of investors at DST Global. Our team has backgrounds in elite institutions including Revolut, Huawei, Max-Planck Institute, Oxford, and Cambridge.
About the Role
Job Title: Research Engineer - AI
Location: London, England, United Kingdom
Employment Type: Full-time
Department: R&D Engineering
Role Overview
This is a system design, prototyping, and development role, with a high degree of individual contribution. The systems you build will involve machine learning, generative AI, and applied mathematics (e.g., graph algorithms) as you solve problems for online self-directed learners.
Responsibilities
- Lead projects and take initiative when new problems arise.
- Decompose company objectives into clearly defined roadmaps and break these down into near-term tasks, splitting these between yourself and others.
- Collaborate daily with colleagues (designers, engineers, founder) and interact with users.
Tech Stack
- Backend: Python, FastAPI, UV for package management (monorepo), domain-driven design, events-based architecture
- Frontend: Typescript, React, Bun, Turborepo for package management (monorepo), Tailwind CSS, Shadcn
- Infrastructure: GCP, k8s
Requirements
- Extensive work experience involving programming, machine learning, and applied mathematics for R&D projects.
- 8+ years of programming and software engineering in the industry, including several years working with Python.
- Previous involvement in designing new products (e.g., research engineer embedded in a product team).
- Designed and built systems involving LLM pipelines as components.
- Ability to translate high-level strategic objectives into a technical roadmap with regular milestones.
- An advanced degree in Computer Science, Physics, Applied Mathematics, Electronic Engineering, or similar.
Benefits
- Reasonable London salary
- Employee options scheme (EMI)
- Office-based team
- Access to all Grasp's learning tools for personal self-study
- Dinner/Breakfast
- Statutory pension (NEST)
- GPUs
