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- Tasks: Join us as a Research Engineer to design and develop cutting-edge AI learning tools.
- Company: We're a forward-thinking startup revolutionising education with innovative technology.
- Benefits: Enjoy a competitive salary, employee options, and access to exclusive learning resources.
- Why this job: Be part of a collaborative team tackling complex challenges in AI and education.
- Qualifications: 8+ years in programming and machine learning; advanced degree required.
- Other info: Work closely with top-tier professionals from elite institutions.
The predicted salary is between 48000 - 84000 £ per year.
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.
We have 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 are building something so hard we cannot afford to work with anyone but the best.
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 maths (e.g. graph algorithm) approaches as you solve problems for online self-directed learners. As an individual contributor, you will be expected to lead projects and take initiative when new problems present themselves. In doing so, you will need to decompose company objectives into clearly defined roadmaps and break these down into near term tasks, splitting these between yourself and others. You will work with all of your colleagues (designers, engineers, founder) on a daily basis and interact with users. 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
- Extensive work experience involving programming, machine learning, and applied mathematics for R&D projects.
- 8+ years programming and software engineering in industry, including several years working with Python.
- Previous involvement designing new products (e.g. research engineer embedded in a product team working on something novel).
- Designed and built (as an individual contributor) systems involving LLM pipelines as components.
- Ability to translate high-level strategic objectives into technical roadmap with regular milestones.
- An advanced degree in Computer Science, Physics, Applied Mathematics, Electronic Engineering, or similar.
Reasonable London salary. Employee options scheme (EMI). Office-based team. Access to all Grasps learning tools for your personal self-study.
Research Engineer - AI employer: TN United Kingdom
Contact Detail:
TN United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer - AI
✨Tip Number 1
Familiarise yourself with our products, Grasp Concepts and Grasp Pathways. Understanding how they work and their impact on learners will help you articulate your passion for our mission during discussions.
✨Tip Number 2
Showcase your experience with machine learning and applied mathematics by preparing examples of past projects. Be ready to discuss how you've tackled complex problems and contributed to product design in previous roles.
✨Tip Number 3
Engage with our team on social media or professional platforms like LinkedIn. This can help you gain insights into our culture and values, making it easier to connect with us during the interview process.
✨Tip Number 4
Prepare to discuss how you would approach translating high-level objectives into technical roadmaps. Think about specific methodologies or frameworks you've used in the past that could apply to our projects.
We think you need these skills to ace Research Engineer - AI
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Research Engineer - AI position. Familiarise yourself with the technologies mentioned in the job description, such as Python, machine learning, and applied mathematics.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your programming experience, particularly with Python, and any projects involving machine learning or generative AI.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for education technology and your alignment with the company's mission. Mention specific projects you've worked on that demonstrate your ability to lead and innovate in R&D settings.
Showcase Your Problem-Solving Skills: In your application, provide examples of how you've decomposed complex problems into manageable tasks in previous roles. Highlight your experience in translating strategic objectives into technical roadmaps, as this is crucial for the role.
How to prepare for a job interview at TN United Kingdom
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, machine learning, and applied mathematics in detail. Bring examples of past projects where you've designed and built systems, especially those involving LLM pipelines.
✨Understand the Company’s Mission
Familiarise yourself with StudySmarter's mission and products. Be ready to explain why you find their approach to education compelling and how your values align with theirs.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss how you would decompose complex problems into manageable tasks. Think of specific examples from your past work where you took initiative and led projects successfully.
✨Engage with the Team Culture
Since the company has a flat and collaborative structure, show that you are a team player. Be ready to discuss how you’ve worked effectively with cross-functional teams in the past and how you can contribute to a collaborative environment.
