Senior AI Engineer

WE ARE HIRING: SENIOR AI ENGINEER

Deadline: 30/09/2025

Key Responsibilities

• Develop and optimise AI/ML models for processing and interpreting EEG, fNIRS, and PPG signals for mental state classification.
• Design calibration-free and adaptive machine learning algorithms to improve real-time neurofeedback accuracy.
• Implement signal processing pipelines to clean, filter, and extract meaningful features from noisy biosignals.
• Collaborate with hardware, software, and mobile teams to integrate AI models into our wearable system and cloud infrastructure.
• Improve AI inference latency to ensure real-time responsiveness.
• Research and apply state-of-the-art deep learning (e.g., CNNs, RNNs, transformers) and traditional ML techniques to enhance biosignal interpretation.
• Lead the development of data acquisition and annotation strategies to improve model robustness and generalization.
• Ensure AI compliance with medical device regulations and ethical AI standards.
• Mentor junior AI engineers and contribute to AI research publications, patents, and whitepapers.

Qualifications

• Ph.D. or M.S. in Machine Learning, AI, Biomedical Engineering, Neuroscience, Computational Biology, or related fields; Bachelor's degree in Science.
• 3+ years of experience in developing AI/ML models, with a solid understanding of classical ML algorithms.
• Strong experience in deep learning frameworks (TensorFlow, PyTorch) and ML libraries (scikit-learn, XGBoost, etc.).
• Expertise in time-series signal processing, noise reduction, feature extraction, and statistical analysis.
• Knowledge of neurofeedback, BCI (Brain-Computer Interfaces), and cognitive neuroscience is essential.
• Proficiency in Python, NumPy, SciPy, MATLAB, or R for data modelling and analysis.
• Experience with cloud-based ML deployment (AWS, GCP, or Azure) is a plus.
• Familiarity with edge AI optimisation techniques for low-power inference on wearable devices.
• Strong problem-solving, analytical thinking, and ability to work in a fast-paced startup environment.

What We Offer

• Full-time
• Part-time position can be considered.
• Work Environment: Dynamic, innovative, and collaborative.
• Negotiable salary with share option.
• Opportunities: Advance neurofeedback tech, collaborate with experts, drive innovation, and PhD training opportunities.

Apply Now!

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