Role: General Intern **Company: **Senseye Location: Remote (Texas | Central Time Working Hours) Type: Internship Cohort Time: February–April 2026

About Senseye

Senseye is a Texas-based deeptech company pioneering the world’s first mental health diagnostics platform. By combining neuroscience and advanced AI, Senseye is transforming how mental health conditions are understood, measured, and treated through objective, data-driven insights. 

About the Role This internship offers a unique opportunity to gain hands-on experience at the intersection of neuroscience, AI, and digital health. Interns will support the technical and research teams on projects related to data analysis, model validation, and product development—helping advance Senseye’s mission to make mental health measurable through science and technology.

Key Responsibilities

• Assist technical teams with data collection, processing, and analysis for research and product development.
• Contribute to testing, quality assurance, and improvement of digital diagnostic tools.
• Support technical documentation and workflow organization for ongoing projects.
• Conduct background research on relevant neuroscience, AI, or health technology topics.
• Collaborate with product and research staff to identify insights that improve performance and user outcomes.

What We’re Looking For Senseye is seeking a technically curious and motivated intern who thrives in a fast-paced, research-driven environment. The ideal candidate brings strong analytical thinking, foundational technical literacy, and a passion for innovation in mental health. You should be comfortable learning new tools, communicating effectively in a remote team, and contributing to technical discussions with creativity and rigor.

Bonus Skills

• Experience with programming or data analysis (e.g., Python, R, SQL, or similar)
• Knowledge of neuroscience, cognitive science, or health tech
• Familiarity with AI or machine learning fundamentals

Why Join Senseye Interns at Senseye will gain exposure to cutting-edge AI applications in mental health and learn from a team of researchers, data scientists, and entrepreneurs redefining diagnostic innovation. This is an opportunity to contribute to a product with real-world impact while developing technical and analytical skills in a mission-driven startup.