Co-Op, Automated Systems Engineer
Lila Sciences
- Location
- Cambridge, MA
- Work style
- On-site
- Job type
- Internship
- Posted
- Oct 26
- 1 day ago
Career path
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About the company
Lila Sciences
Internet · 2 to 10 employees
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.
What you'll do
- Support cross-functional requirements gathering and project documentation
- Assist in converting manual scientific protocols into automation concept designs
- Research new instruments and technologies and help evaluate them
- Contribute to concept design documentation, system architecture diagrams, and interface definitions
- Maintain and update the federated factory layout model
- Support feasibility assessments for proposed automation opportunities
What you need
- Currently enrolled in a Bachelor's or Master's program in a listed engineering field or related field
- Available for a full-time co-op term on-site in Cambridge
- Working knowledge of Python through coursework, projects, or prior internships
- Curiosity, attention to detail, and willingness to ask questions and work through unfamiliar problems
- Clear communication and comfort working with people across different technical backgrounds
- Wet lab exposure through coursework, research, or a prior role (preferred)
- Familiarity with CAD and some experience with rapid prototyping or 3D printing (preferred)
- Experience with automated liquid handlers or robotic arms (preferred)
Key skills
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