Applied AI & Machine Learning Residency Program

About the role

This eight‑week Applied AI & Machine Learning Residency immerses participants in a fast‑paced, startup‑like AI laboratory. Residents work on real‑world machine‑learning challenges, collaborate with engineering teams, and demonstrate ownership of end‑to‑end solutions.

Key responsibilities

• Develop and prototype scalable machine‑learning models to address ambiguous project requirements.
• Collaborate with cross‑functional teams to integrate models into production‑level pipelines.
• Participate in weekly technical lectures, mentorship sessions, and team discussions on emerging AI research.
• Document progress, communicate findings, and adapt solutions based on evolving feedback.

Required profile

• Strong foundation in machine‑learning fundamentals and analytical problem‑solving.
• Self‑directed learner with disciplined engineering habits.
• Effective technical communicator who can work collaboratively in a team.
• Adaptable and able to manage technical ambiguity under tight timelines.

Required skills

• Machine Learning fundamentals
• Analytical problem‑solving

What we offer

• Monthly stipend to cover connectivity and commuting expenses.
• Weekly lectures and technical training led by the engineering team.
• Dedicated mentors to guide progress throughout the program.
• Opportunities for permanent internship or full‑time roles for high‑performing residents.