We are hiring: Junior AI EngineerDeadline: 15/09/2025
Key Responsibilities- Assist in developing and optimizing AI/ML models for processing and interpreting biosignals (e.g., EEG, fNIRS, PPG).
- Support the design and testing of machine learning algorithms to improve accuracy and adaptability.
- Contribute to building signal processing pipelines for cleaning, filtering, and extracting meaningful features from noisy data.
- Collaborate with hardware, software, and mobile teams to integrate AI into wearable systems.
- Apply deep learning methods (CNNs, RNNs, Transformers) and traditional ML techniques to improve biosignal analysis.
- Participate in data acquisition, annotation, and validation to enhance model robustness.
- Ensure compliance with medical data regulations and ethical standards.
- Contribute to technical reports, publications, and internal research projects.
Qualifications- Bachelors degree in Machine Learning, AI, Biomedical Engineering, Neuroscience, Computer Science, or a related field.
- Some experience (projects, internships, or 12 years of work) in AI/ML model development.
- Familiarity with deep learning frameworks (TensorFlow, PyTorch) and ML libraries (scikit-learn, XGBoost, etc.).
- Basic knowledge of signal processing and data analysis.
- Proficiency in Python (NumPy, SciPy, MATLAB is a plus).
- Interest in neurofeedback, brain-computer interfaces (BCI), or cognitive neuroscience.
- Knowledge of cloud-based ML deployment (AWS, GCP, or Azure) is a plus.
- Strong problem-solving skills, willingness to learn, and ability to work in a fast-paced environment.
What We Offer- Competitive, negotiable salary.
- Dynamic, innovative, and collaborative working environment.
- Opportunities to work with experts and gain hands-on experience in neurofeedback and AI for wearable devices.
- Growth and learning opportunities in a fast-growing startup.
Send your CV to [Confidential Information]
Address: Cat Lai Ward, HCMC
