MAGIC AI is an elegant in-home health coach that utilises computer vision, connected weights, and cameras to provide personalised training sessions led by world-renowned athletes. We have gained recognition and exposure, being stocked in Selfridges, featured on Good Morning Britain, and listed as one of Fast Company's World's Most Innovative Companies of 2024. With just a small team, our company achieved a substantial revenue rate during its first financial year.
MAGIC AI is the pioneer in offering users the opportunity to perform exercises in front of an intelligent hologram mirror. Our cutting-edge proprietary computer vision software enables real-time form correction, rep counting, and live feedback, resulting in a fully customised workout experience. We have also collaborated with top athletes to create exclusive workout content, revolutionising the way users can be trained in sports, strength training, yoga, dance, and more. With us, individuals can benefit from personalised tracking and feedback, as if being privately coached and corrected by the world's best, without the hefty fees typically associated with personal training.
We have secured venture capital funding from prominent multi-billion-dollar VC funds, who have also invested in well-known companies such as Grover, Scalapay, Onfido, as well as notable founders and angels from Spotify, Stripe, Facebook, Hopin, and Tough Mudder.
You will be joining our Data Science team working on our powerful ReflectAI® tracking technology, which enables real-time form correction, rep counting, and live feedback across modalities such as strength, cardio, yoga and pilates. As also member of our IT team you will be reporting the our CTO. Our small team consists of highly accomplished individuals, each having achieved prior exits. You will find this role to be highly fulfilling.
What is Involved
- Collaborate closely with other Data scientists and our Engineering Team to advance our groundbreaking ReflectAI® technology.
- Work extensively with MediaPipe and MoveNet to leverage pose estimation coordinates provided by the libraries.
- Develop rules/algorithms to accurately calculate metrics such as total reps, rep progress, rep speed and form quality by analysing the outputted coordinations.
- Build and train new AI models
- Optimise AI models to run on specific hardware accelerators
- Utilise statistical analysis techniques to minimise inaccuracies when dealing with complex occlusion scenarios.
- Collaborate with the Product team to ensure technical and product requirements are understood and executed on.
- Work closely with QA to resolve bugs and minimise any bugs that appear in staging/production releases.
- Ensure smooth and regular release of new features including coordination and communication with Customer Support and Marketing.
