At a Glance
- Tasks: Join us to develop AI-driven educational content and enhance personalised learning experiences.
- Company: Medly is revolutionising education with AI, backed by top partners like UCL, Microsoft, and Google.
- Benefits: Enjoy remote work options, a high-paying graduate role, and the chance to make a real impact.
- Why this job: Be part of a mission to improve educational equity while working with cutting-edge technology in a dynamic team.
- Qualifications: 1st class BSc in Machine Learning or Computer Science; 2+ years in AI systems development required.
- Other info: Work from our Kings Cross office 4 days a week, with Wednesdays remote.
The predicted salary is between 36000 - 60000 £ per year.
About Medly
We are on a mission to change education forever. We have created a Webapp for serious study where we recently ran the first ever national GCSE Mocks, all autonomously proctored and marked by AI. Backed by impact-focused venture funds and supported by partners including UCL, Innovate UK, Microsoft, and Google, we are scaling rapidly to become the go-to AI tutor and assessment platform for all major exams worldwide.
The Role
We are seeking an exceptional upcoming graduate/postgraduate AI/ML Engineer to join our innovative team and help shape the future of personalised education. You will also be working to create personalised content for students to optimise their examination performance.
- Develop and optimise strategies for validating high-quality educational content including videos, diagrams, and interactive materials.
- Enhance our proprietary architecture which combines teaching theory, neuroscience, and AI to create personalised learning experiences.
- Collaborate with our education team to ensure content alignment.
- Improve our language analysis and progress tracking LLMs to better assess student understanding.
- Work closely with the full-stack development team to integrate AI solutions into our platform.
Minimum Requirements:
- Minimum of 1st class BSc from Russell Group university in Machine Learning, Computer Science, or related field.
- Minimum 2+ years of hands-on experience developing and optimising production-grade AI systems, particularly with transformer-based architectures.
- Impeccable history of academic achievement within secondary education.
- Deep expertise in fine-tuning and optimising multi-LLM architectures with measurable performance improvements.
- Experience building AI systems that maintain scientific accuracy while generating educational content at scale.
- Published research or significant contributions to open-source projects related to educational AI or personalised learning systems.
- Demonstrated ability to balance theoretical AI knowledge with practical implementation in user-facing applications.
- Experience developing robust evaluation frameworks to measure AI accuracy, particularly in educational contexts.
- Strong understanding of the latest advancements in multimodal AI models for generating visual, textual, and interactive content.
- Able to commute 4 out of 5 days a week to our office in Kings Cross, with Wednesday being work from home.
Led by founders who are medical doctors with firsthand experience of educational inequalities, we are passionate about truly changing the industry. Make a genuine impact on educational equity and help transform students' lives. Work with cutting-edge AI technology in a fast-growing startup environment. Collaborative team led by founders with medical and neuroscience backgrounds. High paying graduate entry role.
Remote C# Engineer employer: Medly AI
Contact Detail:
Medly AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote C# Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning, particularly in educational contexts. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase any relevant projects or contributions to open-source initiatives that align with educational AI. Having tangible examples of your work can set you apart and demonstrate your hands-on experience.
✨Tip Number 3
Network with professionals in the AI and education sectors. Attend webinars, workshops, or meetups to connect with like-minded individuals and potentially gain insights into the company culture at Medly.
✨Tip Number 4
Prepare to discuss how you would approach developing and optimising educational content using AI. Think about specific strategies or frameworks you could implement, as this will show your proactive thinking and problem-solving skills.
We think you need these skills to ace Remote C# Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in AI and machine learning, particularly any work with transformer-based architectures. Emphasise your academic achievements and any projects that demonstrate your ability to create educational content.
Craft a Compelling Cover Letter: In your cover letter, express your passion for education and how your skills align with Medly's mission. Mention specific experiences that showcase your expertise in developing AI systems and your understanding of educational equity.
Showcase Your Projects: If you have published research or contributed to open-source projects, include links or descriptions of these works in your application. This will demonstrate your practical experience and commitment to the field of educational AI.
Highlight Collaboration Skills: Since the role involves working closely with various teams, emphasise your teamwork and collaboration skills. Provide examples of past experiences where you successfully worked with others to achieve a common goal, especially in tech or educational settings.
How to prepare for a job interview at Medly AI
✨Showcase Your Technical Skills
Be prepared to discuss your experience with C# and AI/ML systems in detail. Highlight specific projects where you've developed or optimised production-grade AI systems, especially those involving transformer-based architectures.
✨Demonstrate Your Passion for Education
Since the role focuses on personalised education, share your thoughts on how AI can transform learning experiences. Discuss any relevant projects or research that align with Medly's mission to change education.
✨Prepare for Collaborative Scenarios
Expect questions about teamwork and collaboration, particularly with full-stack developers and education teams. Think of examples where you successfully worked in a team to integrate AI solutions or improve educational content.
✨Stay Updated on AI Advancements
Familiarise yourself with the latest trends in multimodal AI models and their applications in education. Being knowledgeable about current advancements will show your commitment to the field and your ability to contribute to Medly's innovative environment.