At a Glance
- Tasks: Join our Data Science team to enhance our innovative ReflectAI® tracking technology.
- Company: MAGIC AI, a pioneering health tech startup transforming fitness with cutting-edge AI.
- Benefits: Competitive salary, share options, unlimited holiday, and flexible working arrangements.
- Why this job: Make a real impact on how people exercise with revolutionary technology.
- Qualifications: Experience in data science, algorithms, and a passion for fitness technology.
- Other info: Collaborate with top talent and enjoy regular fun socials in a dynamic environment.
The predicted salary is between 28800 - 48000 £ per year.
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.
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 a member of our IT team, you will be reporting to 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.
AI/Data Scientist employer: MAGIC
Contact Detail:
MAGIC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at MAGIC AI or similar companies. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio or any projects related to AI or data science, make sure to highlight them during interviews. Real-world examples of your work can really impress hiring managers.
✨Tip Number 3
Prepare for technical challenges! Brush up on your coding skills and be ready to tackle some real-time problem-solving scenarios. Companies like MAGIC AI love candidates who can think on their feet.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in being part of the MAGIC AI team!
We think you need these skills to ace AI/Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI/Data Scientist role. Highlight relevant experience, especially with MediaPipe, MoveNet, and any algorithms you've developed. We want to see how your skills align with our cutting-edge technology!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for fitness tech and how you can contribute to MAGIC AI. Be sure to mention any previous projects that showcase your data science skills and teamwork.
Show Off Your Technical Skills: In your application, don’t forget to highlight your technical skills, especially in linear algebra, statistics, and programming languages like Kotlin or Java. We love seeing candidates who can clearly explain complex concepts!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the latest updates about your application status. Plus, it’s super easy!
How to prepare for a job interview at MAGIC
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially MediaPipe and MoveNet. Brush up on your understanding of pose estimation and be ready to discuss how you’ve used these tools in past projects.
✨Show Your Passion for Fitness
Since MAGIC AI is all about revolutionising fitness, it’s crucial to convey your enthusiasm for health and exercise. Share any personal experiences or projects that highlight your passion for fitness technology and how it can impact users.
✨Prepare for Technical Questions
Expect to dive deep into algorithms, statistical analysis, and real-time data processing during the interview. Be prepared to solve problems on the spot or explain your thought process clearly, as this will showcase your analytical skills.
✨Communicate Clearly
You’ll need to explain complex technical concepts to non-technical team members. Practice articulating your ideas simply and effectively, as good communication is key in a collaborative environment like MAGIC AI.