Magic EdTech
Magic EdTech
1001 – 5000 Darbinieki
B2CLabsajūtaMākslīgais intelekts
Magic EdTech izstrādā mākslīgajā intelektā balstītas fitnesa tehnoloģijas treniņiem mājās. Uzņēmuma MAGIC Mirror apvieno interaktīvu personīgo treniņu ar reāllaika vingrojumu tehnikas atgriezenisko saiti, atkārtojumu skaitīšanu un ķermeņa izsekošanu, lai nodrošinātu personalizētāku treniņu pieredzi. Uzņēmums piedāvā arī viedu fitnesa aprīkojumu, tostarp regulējamas hanteles un salokāmu slīpo solu, kas palīdz klientiem izveidot savienotu mājas sporta zāli. Magic EdTech darbojas mākslīgā intelekta, patērētāju labsajūtas un patērētājiem paredzētu fitnesa tehnoloģiju jomā.

AI Data Scientist, Computer Vision

Advance MAGIC AI’s ReflectAI® fitness tracking with computer vision, pose-estimation algorithms, and AI models. Develop real-time form correction, repetition counting, and feedback.

Apraksts

  • Partner with data scientists and engineers to advance ReflectAI® technology.
  • Use MediaPipe and MoveNet pose-estimation coordinates in your work.
  • Create algorithms to measure repetition counts, progress, speed, and exercise form from pose coordinates.
  • Build and train AI models.
  • Optimize models for specific hardware accelerators.
  • Apply statistical methods to reduce errors in complex occlusion scenarios.
  • Work with Product to understand and deliver technical and product requirements.
  • Partner with QA to fix issues and reduce bugs in staging and production releases.
  • Coordinate with Customer Support and Marketing to support regular, smooth feature releases.
  • Report to the CTO as part of the IT team.

Prasības

  • Build and train AI models.
  • Extract features from time-series or sequential data.
  • Develop algorithms for real-time data processing and analysis.
  • Have a strong grounding in linear algebra, geometry, and basic calculus.
  • Understand probability and statistical analysis.
  • Explain technical concepts clearly to non-technical audiences and write detailed project documentation.
  • Pay close attention to detail.
  • Work independently and take initiative.
  • Collaborate effectively with a team.
  • Bring enthusiasm for creating technology that can transform how people exercise; regular gym attendance is not required.
  • Use MediaPipe, MoveNet, or other machine-learning models, ideally for pose estimation.
  • Code in Kotlin, Java, or C++.
  • Use JIRA or other project management tools.
  • Work with Agile Scrum teams.
  • Have data science experience in a startup or high-growth environment.
  • Understand proper technique for strength exercises such as squats and deadlifts, as well as other fitness activities.
  • Bring a product mindset and understand how to build products.
  • Have a passion for fitness, ideally with experience developing fitness products and exercising.

Priekšrocības

  • Competitive salary.
  • Company share options.
  • Contribute from your first day as the business scales, working on ambitious projects with a significant impact on MAGIC AI’s success.
  • Unlimited, self-directed time off.
  • Flexible home and hybrid working from the London headquarters, with at least two work-from-home days per week.
  • Mental health and wellbeing support.
  • Budget for a new MacBook or other hardware.
  • Professional learning and development budget.
  • Regular social events.

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