Research Associate II

Responsibilities

• Develop novel theoretical and practical AI/ML algorithms focused on human behavior modeling and video classification using deep learning.
• Design, develop, test, and maintain software applications and system programs for maximum efficiency.
• Perform complex research tasks including the collection, recording, storage, and analysis of data according to defined protocols.
• Communicate daily research progress through meetings and written reports to the research director.
• Optimize research protocols and improve existing methodologies.
• Collaborate with interdisciplinary professional partners to achieve project goals.

Requirements

• Master of Science (MS) in computer vision, machine learning, artificial intelligence, or a closely related field.
• 3-5 years of experience in research, research methodology, and data collection/analysis.
• Strong programming skills and a deep background in machine learning or computer vision.
• Expertise in areas such as supervised/unsupervised learning, large vision models, multimodal foundation models, or transfer learning.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• Publications in top-tier machine learning or computer vision conferences and journals.
• Research experience involving clinical applications, such as depression or pain management.
• Experience with affective computing, AI for Healthcare, or multimodal human behavior analysis.
• Experience mentoring students or assisting with grant proposal preparation.
• Experience analyzing questionnaires and surveys.

Benefits

• Comprehensive medical, prescription, dental, and vision insurance.
• Generous retirement savings program with employer contributions.
• Tuition benefits and ample paid time off.
• Access to fitness centers and a Family Concierge Team.
• Free Pittsburgh Regional Transit bus pass.

About the Company

Carnegie Mellon University is a world-renowned educational institution and a global leader in innovation. The Robotics Institute at CMU is at the forefront of developing technologies that change the world, fostering a vibrant and collaborative environment for talented researchers and professionals.