AI/Data Scientist

MAGIC; Greater London; Hybrid; GBP 70,000 - 120,000; Full time

Benefits offered by this job

Share Options

Unlimited Holiday

Hybrid Working London HQ

Mental Health Wellbeing

Hardware budget

Professional learning & development

Regular socials

Job summary

MAGIC AI in London seeks a data science professional to advance ReflectAI tracking technology, delivering real-time form correction, rep counting, and live feedback across strength, cardio, yoga and other modalities.

You will join a small, accomplished team reporting to the CTO, building models, optimizing on hardware accelerators, and collaborating with product and QA to release features that help people exercise more effectively.

Qualifications

• Experience with feature extraction from time-series or sequential data.
• Ability to develop and implement real-time data processing algorithms.
• Strong foundation in linear algebra, geometry, and calculus.
• Good understanding of probability and statistical analysis.
• Excellent communication skills, including documenting complex concepts clearly.

Responsibilities

• Collaborate with data scientists and engineering to advance ReflectAI technology.
• Work with MediaPipe and MoveNet for pose estimation coordinates.
• Develop algorithms to compute reps, progress, and form quality from coordinates.
• Build and train AI models and optimize them for specific hardware.
• Ensure regular release of features with QA coordination.

Job description

About MAGIC AI

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.

About the Role

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.

• Building and training new AI models
• 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.
• Good 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.
• 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 using MediaPipe, MoveNet or other machine learning models, ideally pose estimation.
• Experience coding in Kotlin, Java or C++.
• Proficiency in using JIRA or other project management tools.
• Experience collaborating in Agile Scrum teams.
• Experience as a data scientist within a startup / high growth environment.
• 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.

• 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.