Influencer Marketing Müşteri İlişkileri Asistanı
Winfluencer olarak; marka-influencer iş birliklerine yeni nesil teknolojik çözümler sunuyor, sektörde fark yaratıyoruz. Dünya markası olma hedefimize doğru ilerlerken ekibimize katılmak üzere İTÜ Arı Teknokent İstanbul ofisimizde bizimle tam zamanlı çalışacak, hem markalarla hem de influencerlarla etkili iletişim kurabilecek enerjik bir ekip arkadaşı arıyoruz!
- Üniversiteden yeni mezun ya da tam zamanlı çalışabilecek üniversite son sınıf öğrencisi,
- Sosyal medya dinamiklerine ve influencer dünyasına hakim, dijital trendleri yakından takip eden,
- Dijital pazarlama, pazarlama teknolojileri ve influencer marketing alanında kendisini geliştirmek isteyen,
- İnsan ilişkilerinde başarılı, iletişimi güçlü,
- Takım çalışmasına yatkın ve çözüm odaklı,
- Organizasyon ve zaman yönetimi konusunda dikkatli,
- Öğrenmeye hevesli, enerjik ve proaktif,
- Yazılı ve sözlü İngilizce bilgisine sahip
Çalışma Şekli
Tam zamanlı, on-site (İTÜ Maslak Kampüsü, İTÜ ARI Teknokent)
Başvuru
Başvurularınızı info@winfluencer.app adresine CV’nizle birlikte iletebilirsiniz.
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,
