Machine Learning Engineer

Minimum Qualification:

• 2+ years of experience developing and evaluating ML/CV models
• 2+ years of experience developing ML pipelines (e.g., dataset preprocessing, model experimentation and evaluation, software integration, and real-time deployment).
• 3+ years of experience coding with Python
• Experience working with data from physical sensing technologies (e.g., cameras, physiological sensors, electromyography, lidar, radar, IMU)
• Bachelor s degree in computer science, Electrical Engineering, or related area, or equivalent practical experience

Preferred Qualification:

• Master s or PhD degree in Computer Science, Electrical Engineering, or similar eld
• Experience in computer vision, multimodal representation learning, self-supervised learning, semi-supervised learning, few-shot learning, multi-task learning, transfer
• learning, sensor fusion, or other advanced ML/CV techniques.
• Experience with integrating multimodal representation learning models with Large Language Models (LLMs) and ne-tuning larger systems for specific downstream
• applications, such as activity recognition, image captioning, or question answering.
• Experience developing data collection protocols to collect high quality diverse sensor datasets from humans
• Experience applying machine learning or other signal processing techniques to noisy sensor data in real-time human-computer interaction applications (e.g., cameras, EMG, IMU