Lila Sciences
Overview
Lila Sciences is the worlds first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by applying AI to every aspect of the scientific method to address humanitys greatest challenges in health, climate, and sustainability. At Lila, we are uniquely cross-functional and collaborative. We value inclusivity, diverse thought, and thriving in unstructured, creative environments where every voice is heard. If this sounds like an environment youd love to work in, please apply. What Youll Do
Design & Build Services and Front-ends:
Design and build high-performance, secure, and well-documented code that integrates with an ecosystem of existing services and apps. Performance & Reliability:
Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads. Cloud & Infrastructure:
Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade systems at scale. Cross-Functional Collaboration:
Work with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows and services. What Youll Need to Succeed
Bachelors or Masters degree
in Computer Science, Engineering, or related field. 4-8 years of experience
writing software in a commercial setting. Full Stack Development : Experience developing web apps across the full stack (React, TypeScript, Monorepos like Nx, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic). Cloud & DevOps Knowledge : Hands-on experience with AWS, GCP, or Azure; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions). Communication & Collaboration : Acute listening skills and a proven track record of cross-functional work with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences. Problem Solving : Proven ability to own complex backend challenges, balancing trade-offs between scalability, performance, and maintainability. Hands-On with Latest AI Tools : Exposure to AI technologies such as LLMs, Retrieval-Augmented Generation (RAG), or agentic frameworks, and experience leveraging AI to improve development performance. Experience with ORMs : Experience with and web services for CRUD services (SQLModel, FastAPI, Django). Orchestration Systems : Experience with orchestration tools (Airflow, Prefect, Temporal, Dagster). Familiarity with Python for Science : Familiarity with data science and ML libraries (pandas, numpy, scipy, jax, pytorch). Domain Background : Exposure to laboratory software or analytics for life sciences, materials sciences, or related fields. Experience with laboratory devices, robotics, or hardware drivers . EEO
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. 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 Sciences 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. #J-18808-Ljbffr
Lila Sciences is the worlds first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by applying AI to every aspect of the scientific method to address humanitys greatest challenges in health, climate, and sustainability. At Lila, we are uniquely cross-functional and collaborative. We value inclusivity, diverse thought, and thriving in unstructured, creative environments where every voice is heard. If this sounds like an environment youd love to work in, please apply. What Youll Do
Design & Build Services and Front-ends:
Design and build high-performance, secure, and well-documented code that integrates with an ecosystem of existing services and apps. Performance & Reliability:
Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads. Cloud & Infrastructure:
Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade systems at scale. Cross-Functional Collaboration:
Work with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows and services. What Youll Need to Succeed
Bachelors or Masters degree
in Computer Science, Engineering, or related field. 4-8 years of experience
writing software in a commercial setting. Full Stack Development : Experience developing web apps across the full stack (React, TypeScript, Monorepos like Nx, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic). Cloud & DevOps Knowledge : Hands-on experience with AWS, GCP, or Azure; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions). Communication & Collaboration : Acute listening skills and a proven track record of cross-functional work with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences. Problem Solving : Proven ability to own complex backend challenges, balancing trade-offs between scalability, performance, and maintainability. Hands-On with Latest AI Tools : Exposure to AI technologies such as LLMs, Retrieval-Augmented Generation (RAG), or agentic frameworks, and experience leveraging AI to improve development performance. Experience with ORMs : Experience with and web services for CRUD services (SQLModel, FastAPI, Django). Orchestration Systems : Experience with orchestration tools (Airflow, Prefect, Temporal, Dagster). Familiarity with Python for Science : Familiarity with data science and ML libraries (pandas, numpy, scipy, jax, pytorch). Domain Background : Exposure to laboratory software or analytics for life sciences, materials sciences, or related fields. Experience with laboratory devices, robotics, or hardware drivers . EEO
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. 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 Sciences 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. #J-18808-Ljbffr