Computer Vision Engineer

Model Health; Belgique; Hybride; EUR 70 000 - 110 000; Plein temps

Avantages offerts par ce poste

Flexible work options: hybrid — 3 days

Competitive salary package

Continuous learning and growth

Impactful work improving human health

Résumé du poste

Model Health is seeking a Computer Vision / Machine Learning Engineer to drive core CV/ML development for real‑world health and performance insights. You will tackle 2D/3D pose estimation, mesh reconstruction, and related tasks, collaborating with an engineering lead to boost accuracy, speed, and robustness.

You will work on optimization, platform scaling, and end‑to‑end project ownership in a hybrid startup environment, learning biomechanics on the job while applying strong Python tooling.

Qualifications

• Shipped or published work in pose estimation or 3D reconstruction.
• Experience with PyTorch or TensorFlow fundamentals.
• Applied experience solving estimation and parameter‑identification problems.
• Master's degree in Computer Vision, Robotics, Engineering, or PhD with 3+ years of experience.
• Ability to communicate technical findings to multidisciplinary stakeholders.

Responsabilités

• Design, implement, and optimize CV algorithms for pose estimation and mesh reconstruction.
• Improve platform stability, scalability, and efficiency.
• Own projects end-to-end across the platform and adapt to shifting priorities.

Connaissances

Computer vision / ML background

Deep learning fluency

Numerical optimization know‑how

Leadership and mentorship potential

Formation

Master's degree in Computer Vision, Robotics, Engineering

PhD in related field

Outils

OpenCV

PyTorch

YOLO

MediaPipe

OpenPose

SAM 3D Body

Description du poste

About Model Health

Model Health is a Belgian–American software company transforming how human movement is measured and understood. Founded by former Stanford University researchers, Model Health combines cutting‑edge biomechanics with artificial intelligence to deliver advanced movement analysis using nothing more than smartphones.

Our technology originated from academic research in neuromuscular biomechanics and is already trusted by more than 10,000 users worldwide in universities, research centers, and leading organizations.

By replacing expensive, complex laboratory equipment with accessible smartphone video and AI, Model Health is democratizing movement analysis for the real world. Our platform empowers physiotherapists, coaches, sports organizations, and health professionals to prevent injuries, guide rehabilitation, and optimize performance with clinical‑grade insights.

Backed by leading investors, renowned clinicians, and experienced tech entrepreneurs, we are building an intuitive, scalable tool to make high‑quality movement analysis available to everyone who works to improve human health and performance.

Role overview

Join us as a Computer Vision / Machine Learning Engineer!

We're looking for an outstanding engineer to join our team. You'll take a lead role in developing the core of our product, with the goal of improving the accuracy, speed, and robustness of our existing workflow while also contributing to the engine of new product lines.

You'll work on problems spanning 2D/3D pose estimation, mask segmentation, camera calibration, and biomechanical modeling.

This is a hands‑on, technical role for someone with demonstrable computer vision expertise who wants to apply that skill to a real‑world domain with direct impact on human health and performance. Ideally you also have a background in classical optimization and are comfortable using Python tooling to tackle these kinds of problems. No prior biomechanics knowledge is required — you will learn that on the job.

What you'll do

• Computer Vision Algorithm Development: Design, implement, and optimize state‑of‑the‑art CV algorithms — pose estimation, human and object mesh reconstruction, multi‑view triangulation, object segmentation and tracking, and video‑based motion reconstruction — in close collaboration with our engineering lead.
• Platform Optimization: Improve the stability, scalability, and computational efficiency of the platform.
• Startup Mindset: Own projects end‑to‑end (designing, developing, testing, releasing), adapt quickly, and contribute across multiple areas of the platform as priorities shift.

Who you are

• Strong, demonstrable computer vision / machine learning background — you have shipped or published work involving pose estimation, human mesh reconstruction, multi‑view/3D reconstruction, or similar, using frameworks such as OpenCV, PyTorch, YOLO, MediaPipe, OpenPose, SAM 3D Body, Gem‑X, or comparable tools.
• Deep learning fluency — experience applying machine learning and deep learning to visual or time‑series data, with solid PyTorch (or TensorFlow) fundamentals.
• Numerical optimization know‑how — applied experience solving estimation and parameter‑identification problems efficiently.
• Master's degree in Computer Vision, Robotics, Engineering, or a related field with 3+ years of relevant experience, or a PhD in a related field.
• Strong ability to communicate technical findings to multidisciplinary and non‑technical stakeholders.
• Leadership and mentorship potential — able to help shape technical direction and grow the team as the company scales.

Nice to have

• Experience with 3D human pose/shape models (e.g., SMPL, MHR, SOMA).
• Understanding of biomechanics, gait analysis, or human movement science.
• Experience designing, building, and optimizing large‑scale data pipelines.
• Software engineering best practices: version control (Git), testing, and performance optimization.

What we offer

• Flexible work options: hybrid — 3 days/week in‑office, flexible on the rest.
• Competitive salary package.
• Continuous learning and growth opportunities alongside top talent in a fast‑scaling startup.
• A collaborative, mission‑driven environment where your work will have a direct impact on people’s lives worldwide.