412,158open jobs
14,541companies
72,770added this week
Browse all
Salary
$102k – $221k per year (Estimated)
Location
In office (Cambridge)
Seniority
Senior
Employment
Full-Time
Overview
Company
Impact
Profile match
Lila Sciences is an American company launched publicly in 2025 out of Flagship Pioneering with the aim of building what it calls scientific superintelligence: artificial intelligence systems that generate hypotheses and then test them in the company's own automated laboratories. Its distinguishing feature is the closed loop between model and experiment, since most scientific machine learning is limited by the fact that the data it needs has never been generated. Headquartered in Cambridge, Massachusetts and funded at an unusually large scale for a company at this stage, it is working across life sciences and materials chemistry rather than committing to a single field.

Your Impact at LILA

Lila Sciences is seeking a highly skilled, hands-on Automated Systems Engineer to design, develop, and implement automation solutions across a broad range of laboratory workflows. Reporting to the Automated Systems Engineering Lead, this role is critical to building scalable, high-throughput automated workcells that translate scientific intent into reliable, real-world systems.

This role serves as a steward of scientific and cross-functional requirements-working closely with scientists, hardware, controls, and software teams to define scope, align interfaces, and drive projects from concept through deployment. The successful candidate will actively partner with scientific partners helping shape the technical direction of experimental automation in a fast-moving research environment.

What You'll Be Building

  • Actively contribute to hands-on development, testing, and implementation of automated workflows in the lab.
  • Develop scalable automated solutions for synthesis and characterization workflows, supporting a variety of material systems such as porous materials, catalysts, coatings, and advanced composites.
  • Define and document standardized laboratory workflows, operating procedures, and system architectures to support reproducibility and scale.
  • Lead and participate in equipment- and system-level FMEAs to improve robustness and operational safety.
  • Assist in the troubleshooting and optimization of automated systems for throughput, reliability, and adaptability across diverse workflows.
  • Design failure detection methods and maintain laboratory automation systems to ensure robust operations.

Project Innovation

  • Translate scientific objectives into well-scoped technical requirements and automation architectures.
  • Act as a connective tissue between science, hardware, controls, and software-ensuring interfaces are clear and solutions are cohesive.
  • Explore and integrate emerging technologies, such machine vision, and advanced sensors, to enhance automation capabilities.
  • Ensure alignment of automation solutions with safety, quality, and regulatory standards.

What You’ll Need to Succeed

  • Strong hands-on experience developing and scaling automated workflows in laboratory or industrial settings.
  • Understanding of Python programming, including API integration and error handling.
  • Understanding of CAD design and rapid prototyping, including 3D printing.
  • Hands-on experience with hardware systems, including electrical wiring, sensors, liquid/gas plumbing, and PID controllers.
  • Strong critical thinking skills, attention to detail, and ability to work collaboratively in a dynamic environment.
  • Excellent communication and interpersonal skills, with the ability to convey technical concepts clearly to diverse audiences.
  • Familiarity with advanced experimental systems, including vacuum, laser, furnace, and electrochemical experimentation.
  • Knowledge of machine vision applications and robotics control algorithms.
  • Proven ability to integrate hardware and controls systems with automation workflows.
  • Understanding of AI-driven decision-making in research automation.
  • Prior experience leading technical teams in a fast-paced R&D environment.

Bonus Points For

Working at Lila Sciences, you would have access to advanced technology in the areas of:

  • AI experimental design and simulation
  • Automated custom instrumentation
  • Generative molecular and material design

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.

U.S. Benefits. Full-time U.S. employees receive a 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; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.

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; international salaries are set to local market.

Expected Base Salary Range

$118,800—$182,400 USD

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.

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.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
412,158 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Similar stack
Same company
Cambridge
$47k – $128k per year (Estimated) • Remote/Hybrid • Full-Time • London
Python
Apply
$33k – $57k per year (Estimated) • Remote • Bachelor's Degree • Moscow
Python
Python
Flask
FastAPI
pySpark
Databases
PostgreSQL
ClickHouse
Apache Kafka
Vertica
Kafka
AI/ML
Hadoop
Spark
Airflow
DevOps
Helm
Prometheus
Git
Kubernetes
Grafana
GitLab
Amazon S3
Analytics
ETL/ELT
Management
Confluence
Jira
QA
Pytest
Apply
$30k – $71k per year (Estimated) • Remote/Hybrid • 3+ years exp • Moscow
Python
JavaScript
TypeScript
Python
SQLAlchemy
FastAPI
Pydantic
Alembic
Databases
PostgreSQL
Qdrant
AI/ML
LangChain
Model Context Protocol
Haystack
LLM
RAG
Frontend
Svelte
React.js
DevOps
Rest API
gRPC
Helm
Prometheus
CI/CD
Docker
Kubernetes
Grafana
Management
Confluence
QA
Sentry
Apply
$20k – $51k per year (Estimated) • In office • Moscow
Python
C#
C#
.NET
Apply
$22k – $54k per year (Estimated) • In office • Full-Time • 7+ years exp • Bengaluru • Hyderabad • Pune • Gurgaon • Chennai
Python
Java
SQL
Python
Django
Java
Apache Tomcat
Databases
PostgreSQL
MS SQL
DevOps
Windows Server
Apply
$115k – $284k per year (Estimated) • In office • Full-Time • Bachelor's Degree • Cambridge
Python
Python
FastAPI
AI/ML
CUDA Toolkit
Multimodal AI
PyTorch
RAG
CUDA
Triton
Hugging Face
DevOps
gRPC
CI/CD
Apply
$86k – $204k per year (Estimated) • In office • Full-Time • 8+ years exp • Bachelor's Degree • Cambridge
Apply
$96k – $236k per year (Estimated) • In office • Full-Time • Cambridge
Python
AI/ML
SciPy
NumPy
Flyte
DevOps
AWS
Docker
Kubernetes
Apply
$152k – $253k per year (Estimated) • In office • Full-Time • PhD • Cambridge
Python
AI/ML
AI Agents
Tool Use
DevOps
HPC
Apply
$98k – $263k per year (Estimated) • In office • Full-Time • PhD • Cambridge
Python
AI/ML
AI Agents
Apply
$118k – $242k per year (Estimated) • Remote/Hybrid • 4+ years exp • Bachelor's Degree • Cambridge
Apply
$56k – $94k per year • In office • Contractor • Cambridge
Apply
$64k – $74k per year • In office • Contractor • Cambridge
Apply
$56k per year • In office • Contractor • Cambridge
Apply
$84k – $94k per year • In office • Contractor • Cambridge
Apply
See all jobs
This is one of many
412,158 more open roles from verified company boards, updated every day.