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.

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