---
title: 'Maintenance Engineering Technician II at Lila Sciences'
canonical: 'https://feeny.ai/job/maintenance-engineering-technician-ii-lila-sciences-cambridge-qgp4st6zk9gw'
type: 'job'
last_seen: '2026-09-04'
---

# Maintenance Engineering Technician II at Lila Sciences

- **Company:** Lila Sciences
- **Location:** Cambridge, MA
- **Posted:** 2026-08-24
- **Last confirmed live:** 2026-09-04
- **Apply:** https://job-boards.greenhouse.io/lilasciences/jobs/4359836009

## Job description

## Your Impact at LILA

Maintenance Engineering Technicians are the backbone of instrument uptime at Lila. You will execute preventive maintenance schedules, perform first-response troubleshooting, maintain calibration and qualification records, and coordinate with Lab Operations, Research Operations, and Hardware & Controls Engineering to keep workcells running.

This is a hands-on, precision role in a fast-moving, highly automated lab environment. You’ll support reliable operation of commissioned instruments and integrated workcells through disciplined maintenance, documentation, troubleshooting, and vendor coordination.

## What You'll Be Building

- Execute scheduled preventive maintenance across the commissioned instrument fleet.
- Maintain accurate PM, repair, and service records in the CMMS.
- Perform instrument calibration and support IQ/OQ/PQ execution.
- Respond to instrument alarms, failures, and performance anomalies during shift.
- Execute in-scope repairs and escalate engineering-level issues to HCE or Automation.
- Document incidents, repairs, and out-of-tolerance conditions in the CMMS.
- Coordinate vendor visits, track service records, and maintain spare parts inventory.
- Track MTBF and downtime trends to surface recurring failure patterns.
- Help develop ME SOPs, work instructions, and maintenance practices.

## What You'll Need to Succeed

- 3+ years of hands-on instrument maintenance experience in a research, clinical, or production lab.
- Experience maintaining biological research or analytical instruments.
- Working knowledge of pipetting system calibration, fluidics troubleshooting, and optical systems.
- Experience with cell culture equipment preventive maintenance.
- Familiarity with biological safety and containment protocols.
- Strong documentation discipline and comfort working in a CMMS.
- Demonstrated independence troubleshooting and executing PM across multiple instrument families.

Bonus Points For

- Direct CMMS experience, such as Maximo, eMaint, MaintainX, or Fiix.
- Experience authoring or executing IQ/OQ/PQ in a regulated lab environment.
- Vendor management experience, including service contract coordination.
- Exposure to robotic automation platforms or integrated workcells.
- Comfort with shift-based operations supporting 24/7 lab environments.

## 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.

Information you provide during your application process will be handled in accordance with our [Candidate Privacy Policy](https://www.lila.ai/candidate-privacy-policy-notice).

A Note to Agencies

Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

## About Lila Sciences

## Company Overview
- **One-liner**: Lila Sciences is building the world’s first Scientific Superintelligence platform and autonomous lab, using AI to autonomously generate hypotheses, design and run experiments, and learn from results in real time across life sciences, chemistry, materials, energy, and defense.
- **Entity Type**: Private (Privately Held) – Series A, Seed, and Grant funding rounds
- **Headquarters**: Cambridge, Massachusetts, United States
- **Founded**: Not publicly available (first funding round was Seed in March 2025)
- **Founders**: Not publicly available (founded within Flagship Pioneering’s ecosystem)

## Core Business
- **Primary industry**: AI-powered scientific discovery and autonomous laboratory platforms
- **Target customers**: B2B – research organizations, biotech, pharmaceutical, energy, materials, aerospace, and defense companies
- **Mission**: “Scientific Superintelligence to solve humankind’s greatest challenges” – accelerating discovery across medicine, materials, energy, and defense

## Products & Services
- **LILA Platform (Scientific Superintelligence)**: An AI model and operating system that autonomously executes the entire scientific method – generating hypotheses, designing experiments, running them in physical labs, and learning from results in real time.
- **AI Science Factory™ Instruments**: Proprietary hardware and robotics that serve as the “body” of the platform, enabling automated experimentation at scale.
- **Domain-specific applications**: Tailored solutions for biotech (drug discovery, protein engineering), therapeutics (mRNA, antibodies, cell therapies), energy & environment (clean fuels, catalysis, critical minerals), advanced materials, chemicals, aerospace & defense, and oil & gas.

## Market Standing
- **Valuation**: Not disclosed
- **Key Metric**: Total funding – USD $550.7M (as of LinkedIn data)
  - Seed Round (March 2025): $200M led by Flagship Pioneering
  - Series A (September 2025): $235M led by Braidwell and Collective Global Management
  - Series A (November 2025): $115M led by NVentures (NVIDIA)
  - Grant (January 2026): $671,400 led by ARIA
- **Notable Investors/Partners**: Flagship Pioneering, NVIDIA (NVentures), Braidwell, Collective Global Management, ARIA
- **Growth Signals**: Named #25 on the 2026 CNBC Disruptor 50 List; headcount of 308 employees (monthly growth +10.6%); 122 active job postings; operates in 6 countries (US, UK, Canada, Poland, Spain, Germany)

## Competitive Advantages
- **Proprietary AI model** that consistently outperforms other models across scientific domains in complex analysis and reasoning.
- **Autonomous physical labs** that close the loop between AI hypothesis generation and real-world experimentation.
- **“Team of Teams” operating model** enabling startup speed at scale while maintaining radical transparency and high trust.
- **General platform approach** (inspired by Rich Sutton’s “Bitter Lesson”) rather than narrow domain-specific tools, allowing broad applicability.

## Strategic Focus
- Accelerating discovery across medicine, materials, energy, and defense
- Scaling the autonomous science platform to more industries and use cases
- Building “Scientific Superintelligence” that can tackle humanity’s greatest challenges
- Continued investment in AI research, robotics, and lab automation

## Why Work Here
- **Culture**: Emphasizes velocity, trust, curiosity, truth, and grit. “Think freely, prove precisely.” A high-trust, mission-driven environment where scientists and engineers work side by side.
- **Remote/Hybrid/Office**: Roles are listed in Cambridge, MA; San Francisco, CA; and London, UK. Physical lab presence suggests significant on-site work, but some roles may offer flexibility. Policy not explicitly stated.
- **Notable perks/engineering culture**: Opportunity to work at the frontier of AI and scientific discovery; collaboration with world-renowned experts; access to cutting-edge robotics and AI infrastructure; strong emphasis on learning and teaching (“generous teachers and eager learners”).

## Sources
1. [lila.ai](https://www.lila.ai/)
2. [lila.ai/about](https://www.lila.ai/about)
3. [lila.ai/open-roles](https://www.lila.ai/open-roles)
4. [LinkedIn - Lila Sciences](https://www.linkedin.com/company/lila-sciences)
5. [Greenhouse Job Board](https://job-boards.greenhouse.io/lilasciences/jobs/4246302009)

## Other roles at Lila Sciences

- [Data Scientist II / Senior Data Scientist, Life Sciences](https://feeny.ai/job/data-scientist-ii-senior-data-scientist-life-sciences-lila-sciences-cambridge-wvrt5y3pkr50) — Cambridge, MA
- [Senior Data Engineer, Bioinformatics, Cheminformatics, Materials](https://feeny.ai/job/senior-data-engineer-bioinformatics-cheminformatics-materials-lila-sciences-san-kp5d4nbn38vz) — San Francisco, CA
- [Associate Director, App](https://feeny.ai/job/associate-director-app-lila-sciences-cambridge-46qgd5hp866e) — Cambridge, MA / San Francisco, CA
- [Research Scientist, Photonic Materials Discovery](https://feeny.ai/job/research-scientist-photonic-materials-discovery-lila-sciences-cambridge-m87b6zgatgmg) — Cambridge, MA
- [Research Scientist I/II, Computational Organic Electronics](https://feeny.ai/job/research-scientist-i-ii-computational-organic-electronics-lila-sciences-mh2tq43ahp5d) — Cambridge, MA
- [Associate Engineer/ Engineer I, Formulations and Characterization](https://feeny.ai/job/associate-engineer-engineer-i-formulations-and-characterization-lila-sciences-6dy4t3wbbqar) — Cambridge, MA
- [Senior Manager, Scientific Discovery Capacity Planning](https://feeny.ai/job/senior-manager-scientific-discovery-capacity-planning-lila-sciences-cambridge-c1tjq0yzrj9f) — Cambridge, MA
- [Finance Business Partner, AI & Software](https://feeny.ai/job/finance-business-partner-ai-software-lila-sciences-cambridge-dme1cxf7yazg) — Cambridge, MA
- [Associate Director / Director, Strategic Finance](https://feeny.ai/job/associate-director-director-strategic-finance-lila-sciences-cambridge-fp5gxvaqvt2k) — Cambridge, MA
- [Scientist II/Senior Melt Polymer Scientist](https://feeny.ai/job/scientist-ii-senior-melt-polymer-scientist-lila-sciences-cambridge-jc2qn2patfg0) — Cambridge, MA