About MAGIC AI

MAGIC AI is an elegant in-home health coach that utilises computer vision, connected weights, and 3D 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.

About The Role

We are hiring the company's first Senior Data Scientist, who will take ownership of 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. Currently, most of these responsibilities are managed by our Head of Engineering and our CPO, with whom you will collaborate closely. 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 our CPO and Head of Engineering to take charge of 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
Utilise statistical analysis techniques to minimise inaccuracies when dealing with complex occlusion scenarios
Collaborate with our CPO 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
Opportunity to potentially assume a leadership role as the data science team expands

Requirements

Extensive experience as a data scientist within a startup / high growth environment
Familiar with basic coding in Kotlin or Java
Experience using MediaPipe, MoveNet or other similar machine learning models, ideally pose estimation
Experience with feature extraction from time-series or sequential data
Ability to develop and implement algorithms for real-time data processing and analysis
Strong foundation in linear algebra, geometry, and basic calculus
Good understanding of probability and statistical analysis
Proficiency in using JIRA or other project management tools
Outstanding communication abilities, particularly in effectively and clearly explaining technical concepts to non-technical individuals and in writing detailed project documentation
Meticulous and thorough in paying attention to details
Experience collaborating in Agile Scrum teams
Self-motivated and capable of working independently
Able to work effectively and cooperatively in a team setting
You don't have to be a regular gym-goer, but you should be passionate about developing technology that will revolutionise how people exercise!

Nice to Haves

Experience coding in Kotlin
Knowledge of correct technique across strength exercises (e.g. squat, deadlift) and other fitness related modalities
Product minded with a good understanding of how to build products
Passion for fitness, ideally with experience building fitness products and working out

Benefits

Competitive salary
Share Options in the company
An impact from day one. Our business is scaling by the day. You'll work on ambitious projects, and your contribution will significantly impact the success of MAGIC AI now and in the future
Unlimited Holiday (self-directed time off)
Flexible Home/Hybrid Working from our London HQ (At least 2 days WFH per week)
Mental Health Wellbeing support
Hardware budget for brand new Macbook or other
Professional learning & development budget
All. The. Fun. Regular awesome socials

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