Lila Sciences

Lila Sciences

Scientist, Epitaxial Thin Film Synthesis

Cambridge, MA USA · Full-time

Sponsorship not specified$108k-$150kDetected 40 days ago
Machine LearningA/B TestingRecruitingStructural AnalysisResearch

About the role

  • Your final offer will reflect your background, expertise, and expected impact.
  • USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
  • We believe science is the most inspiring frontier for AI.

Responsibilities

  • 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.
  • Optimize deposition conditions (substrate temperature, flux ratios, growth rate) to achieve atomically sharp interfaces and target crystal phases.
  • Design, fabricate, and measure electronic transport devices, including temperature-dependent resistivity, Hall effect, and magnetoresistance.
  • Maintain deposition and characterization equipment; troubleshoot hardware and vacuum systems.
  • Collaborate with theorists and computational scientists to inform materials selection and interpret experimental results.

Requirements

  • Proficiency with surface characterization.

Compensation

  • We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
  • International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions
  • Expected Base Salary Range
  • $108,000 - $150,000 USD

Visa & Work Authorization

  • al employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status

This listing is sourced directly from Lila Sciences's careers page and normalized into a canonical job model.