Gluacot Computer Vision, Signal Processing Engineer (Full-Time)
İTÜ ARI Teknokent (Hybrid – 4 days onsite / 1 day remote)
We are a MedTech startup located at İTÜ ARI Teknokent, developing a contact-free intraocular pressure (IOP) measurement technology that utilizes facial video and imaging photoplethysmography (iPPG). We are building the world’s first contact-free IOP measurement system using facial video & iPPG. As our Computer Vision & Signal Processing Engineer, you will design the full pipeline from eye detection to IOP prediction.
Both new graduates and senior-level candidates are welcome — responsibilities will be tailored to each individual’s level.
What You’ll Do
- Detect, track & stabilize eye ROI in facial videos
- Segment iris & sclera with deep learning
- Extract & clean iPPG signals (CHROM, ICA, filtering)
- Build ML models to predict IOP from physiological features
- Optimize pipeline for mobile & embedded deployment
Must-Have
- BSc/MSc/PhD in Computer Engineering, Electrical Engineering, Biomedical Engineering, or related fields.
- Strong proficiency in Python (NumPy, SciPy, OpenCV, scikit-learn, PyTorch / TensorFlow).
- Strong foundation in image processing (OpenCV, scikit-image, PIL, CUDA accelerated processing is a plus).
- Solid experience in signal processing: bandpass filtering, adaptive detrending, FFT, motion artifact removal, ICA/PCA, spectral analysis.
- Strong problem-solving and debugging skills for both image and signal pipelines. ● Startup mindset — proactive, hands-on, comfortable with rapid prototyping, and able to adapt quickly to changing requirements.
Nice-to-Have
- Ability to design and implement deep learning architectures (e.g., CNNs, U-Net, LSTMs) for segmentation or feature extraction.
- Experience with segmentation algorithms (U-Net, DeepLab, Mask-RCNN) for high-precision iris and sclera segmentation.
- Knowledge of multimodal data fusion (combining video and signal features for model training).
- Build a modular signal + image processing pipeline for integration into mobile and embedded platforms (Android/iOS).
- Familiarity with mobile and embedded deployment (TFLite, TensorRT, ONNX) and low-latency optimization.
Why Join Us?
- Work on a first-in-the-world medical innovation for glaucoma diagnostics ● Build a cutting-edge signal & image processing pipeline
- Be involved in patents, publications, and global clinical studies
- Hybrid model – 4 days onsite / 1 day remote at ITU ARI Teknokent,
