Job Title: Computer Vision Engineer – Enliven AI
Location: Remote / Hybrid
Salary: $3,500 – €8,500 per month
🎯 About Enliven AI:
Enliven AI is a cutting-edge artificial intelligence platform designed to optimize human potential. We integrate advanced biomechanics, machine learning, and predictive analytics to deliver hyper-personalized insights.
Unlike generic systems, Enliven AI provides:
• Real-time biomechanical analysis.
• Adaptive coaching and intelligent nutrition guidance.
• Predictive injury prevention and cognitive enhancement.
We leverage data from smartphones, wearables, and medical inputs , making elite-level optimization tools accessible across fitness, education, healthcare, and government.
🚀 About the Role:
This role is critical to differentiating our platform from generic fitness apps, making it truly AI-powered and data-driven. As a Computer Vision Engineer, you will develop and optimize the core pose detection and motion tracking pipelines that power Enliven AI’s real-time movement analysis.
Your expertise is key to delivering accurate, real-time form correction and skating technique analysis.
Key Responsibilities:
• Develop pose detection and motion tracking pipelines using OpenPose, MediaPipe, or similar frameworks.
• Integrate 2D/3D vision into mobile camera modules for real-time feedback.
• Optimize image processing for low latency and battery efficiency on smartphones.
🛠️ Essential Requirements:
We prioritize hands-on project success and relevant experience over traditional education.
• Core Technical Expertise
• Computer Vision & Motion Tracking: Proven job or project experience in computer vision, image processing, or AI-powered motion tracking.
• Deep Learning Frameworks: Experience developing pipelines using OpenPose, MediaPipe, or similar frameworks.
• Mobile Vision Integration: Practical experience integrating vision capabilities into mobile camera modules.
• Performance Optimization: Specific expertise in optimizing image processing for low latency and battery efficiency on consumer hardware.
• Language Proficiency: Strong working knowledge of Python and standard computer vision libraries (e.g., OpenCV).
Professional & Collaborative Skills:
• Communication: Excellent communication skills to collaborate effectively with AI/ML engineers and product teams.
• Language: Proficient in English (written and spoken).
• Education: A college degree is not required if you have relevant experience.
👉 Apply Now!
Join us in revolutionizing human optimization through AI! We are looking for the best-in-class computer vision technology to enable real-time form correction.
