Automated Workcell Development Intern

Job Description

About Company

Lila Sciences is pioneering a new era of boundless scientific discovery as the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. Their core mission is to apply AI to every aspect of the scientific method, building capabilities that introduce “scientific superintelligence.” This initiative aims to solve humankind’s greatest challenges by enabling scientists to accelerate solutions in critical areas such as human health, climate, and sustainability at an unprecedented pace and scale. The company is dedicated to fostering an environment of innovation and encourages applications from individuals who share this vision, even if they possess only some of the listed experience.

Job Description

This is an internship opportunity at Lila Sciences, focused on the development and enhancement of cutting-edge automated workcells. As an intern, you will be deeply immersed in the operational aspects of these systems, playing a critical role in their functionality and improvement. Your primary responsibilities will include identifying, categorizing, and resolving issues related to automated workcells. This involves troubleshooting both software and electro-mechanical systems, with an emphasis on rapidly learning new technologies and meticulously documenting processes for team knowledge sharing. A key aspect of the role is proactive problem-solving, requiring you to identify potential failure points and lead initiatives to mitigate them. You will also contribute to achieving Lila’s goals by developing automated processes or tools. The internship offers practical experience through collaboration on significant projects, including those focused on proactive issue identification, preventive maintenance, and the integration of AI into troubleshooting operations. This position is designed to provide valuable hands-on experience in a dynamic and collaborative setting, fostering the development of a diverse set of skills relevant to a future career in science and technology.