Co-Op, Next Gen Engineering

Alumni Ventures; Cambridge (MA); On-site; USD 27,552 - 41,328; Part time

Job summary

Alumni Ventures is seeking talented students for a co-op to work in scientific automation, focusing on developing software and hardware tools for Scientific Super Intelligence. You will gain hands-on experience while collaborating with diverse engineering teams on important projects.

Applicants should be pursuing a degree in a STEM field and have an interest in programming. Unique insights into lab automation and AI are desirable. The position is a fantastic opportunity for students looking to contribute significantly while learning in a fast-paced environment.

Qualifications

• Pursuing a degree in Bioengineering, Mechanical, Electrical, or Computer Science.
• Strong interest in programming and software development.
• Hands-on project experience demonstrating technical curiosity.

Responsibilities

• Design, develop, and implement software/hardware tools for scientific automation.
• Onboard laboratory equipment on the AISF platform.
• Document learnings and contributions for team reviews.
• Contribute to additional engineering initiatives.

Skills

Software development

Collaborative teamwork

Technical curiosity

Education

Enrolled in a Bachelor's or Master's program in a STEM field

Job description

Your Impact at LILA

Lila is actively seeking talented and motivated students to join us in ushering in a new era of scientific intelligence. Throughout your co‑op, you'll have the opportunity to learn from and collaborate with diverse engineering teams spanning multiple disciplines, gaining hands‑on experience testing and validating cutting‑edge tooling while making meaningful contributions across a variety of projects.

What You'll Be Building

• Work with cross‑functional engineering teams to design, develop, and implement software and hardware tools that enable SSI (Scientific Super Intelligence) and advance scientific discovery through intelligent automation.
• Onboard laboratory equipment onto our AISF platform by installing custom software, testing equipment processes, and ensuring seamless operation within our automated infrastructure.
• Document learnings, observations, and contributions for internal teams to review and iterate on, helping improve our processes and methodologies.
• Participate in additional engineering initiatives and special projects, contributing your skills to support the Next Gen Engineering team's goals.

What You'll Need to Succeed

• Enrolled in a Bachelor's or Master's program in a STEM field (e.g., Bioengineering, Mechanical, Electrical, or Computer Science).
• Proficiency or strong interest in software development and programming.
• Experience with hands‑on projects or prototyping that demonstrates technical curiosity.
• Ability to collaborate effectively in team environments.

Bonus Points For

• Passionate about the intersection of lab automation and AI.
• Experience working with scientific equipment in academic labs.
• Familiarity with bench science assays.
• Nice to have: a track record of defining your own role in complex projects.

About LILA

Lila Sciences is building Scientific Superintelligence to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard‑coding expert knowledge into tools, LILA builds systems that can learn for themselves.

LILA combines advanced AI models with proprietary AI Science Factory instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.

Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.

We’re All In

Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

A Note to Agencies

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