Lead Computer Vision Engineer - 3D Pose & Biomechanics

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

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.