Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

LILA is seeking a leader to own the technical direction for agentic AI systems applied to materials science. This role involves setting and executing a roadmap for autonomous agents that plan, run, and interpret materials experiments, shifting research from human-paced to machine-paced iteration. It is a player-coach position responsible for leading a team, setting standards for scientific rigor and engineering quality, and partnering with diverse teams to implement agentic systems.

Responsibilities

Define and execute the agentic AI roadmap for materials science, including agentic frameworks and retrieval-augmented generation for understanding multi-modal research data.
Lead the design of agentic frameworks grounded in scientific understanding and the state of the art, and deliver end-to-end systems.
Hire, mentor, and grow a small cross-functional team of scientists and engineers; set the bar for scientific rigor, code quality, and reproducibility.
Partner with diverse teams at Lila to push the state of the art and deliver systems that integrate with experimental infrastructure.
Track state-of-the-art in agentic AI, scientific ML, data extraction, and reasoning models; translate external advances into internal direction, and publish or present findings.

Requirements

PhD in Computer Science, Machine Learning, Materials Science, Chemistry, Physics, or a related field.
5+ years of post-PhD research and applied ML experience.
Track record of building and shipping agentic systems, ML pipelines, or autonomous research workflows that delivered measurable scientific or product impact.
Deep expertise across modern ML, NLP, and reasoning: LLMs, agentic frameworks, tool use, planning, data extraction, and multi-modal data.
Working knowledge of materials science, computational chemistry, or condensed-matter physics sufficient to ground agent behavior in real scientific constraints.
Proficiency in Python and the ML software stack, with strong engineering habits around reproducibility, testing, and production deployment.
Experience leading scientists and engineers: setting technical direction, hiring, mentoring, and developing team members.
Clear written and verbal communication; able to translate between research, engineering, and program stakeholders.

Skills

Agentic AI
Materials Science
Machine Learning
Autonomous Agents
Roadmap Execution
Scientific Reasoning
LLMs
Agentic Frameworks
Retrieval-Augmented Generation
Multi-modal Data Understanding
NLP
Tool Use
Planning
Data Extraction
Python
ML Software Stack
Reproducibility
Testing
Production Deployment
Team Leadership
Scientific Rigor
Engineering Quality
Cross-team Partnership
Research Currency
External Voice
Scientific ML
Reasoning Models
Computational Chemistry
Condensed-matter Physics
Workflow Orchestration
Distributed Compute

Location

U.S.

Work Type

Full-time

Experience Level

5+ years of post-PhD research and applied ML experience
Experience leading scientists and engineers

Education Level

PhD in Computer Science, Machine Learning, Materials Science, Chemistry, Physics, or a related field

Salary/Compensations

$288,000—$420,000 USD

Benefits

Competitive base compensation
Bonus potential
Generous early-stage equity
Comprehensive benefits program including medical, dental, and vision coverage
Employer-paid life and disability insurance
Flexible time off with generous company wide holidays
Paid parental leave
Educational assistance program
Commuter benefits, including bike share memberships for office based employees
Company subsidized lunch program
International benefits tailored to their region

About the Company

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.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance.

Equal Opportunity

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.