Lila Sciences
About Lila Sciences
Lila Sciences is the world’s 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 solve humankind's challenges in health, climate, and sustainability. At Lila, we are cross-functional and collaborative. We value inclusivity, diversity of thought, and a culture that thrives in unstructured, creative environments where all voices are heard. Your Impact at Lila
Join us in shaping the future of science. You will collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. This role spans web services and data engineering with a strong emphasis on Python development for scientific applications. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want to hear from you. What You’ll Be Building
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 You’ll Need To Succeed
Bachelor’s or Master’s 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: Strong listening skills and a proven track record of working cross-functionally with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences. Problem Solving: Ability to take ownership of complex backend challenges, balancing trade-offs between scalability, performance, and maintainability. Bonus Points For
Hands-On with Latest AI Tools: Exposure to AI technologies such as LLMs, Retrieval-Augmented Generation (RAG), or agentic frameworks, and experience using AI to improve development performance. Experience with ORMs: Experience with web services for CRUD operations (SQLModel, FastAPI, Django). Orchestration Systems: Experience with orchestrators (Airflow, Prefect, Temporal, Dagster). Familiarity with Python for Science: Experience with data science and ML libraries (pandas, numpy, scipy, jax, pytorch). Domain Background: Exposure to laboratory software or analytics for life sciences or materials science. Experience with laboratory devices, robotics, or hardware drivers. 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. 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 is strictly prohibited unless contacted directly by Lila Sciences’ internal Talent Acquisition team. Any resume submitted by an agency without a signed agreement will become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
Technology, Information and Internet
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Lila Sciences is the world’s 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 solve humankind's challenges in health, climate, and sustainability. At Lila, we are cross-functional and collaborative. We value inclusivity, diversity of thought, and a culture that thrives in unstructured, creative environments where all voices are heard. Your Impact at Lila
Join us in shaping the future of science. You will collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. This role spans web services and data engineering with a strong emphasis on Python development for scientific applications. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want to hear from you. What You’ll Be Building
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 You’ll Need To Succeed
Bachelor’s or Master’s 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: Strong listening skills and a proven track record of working cross-functionally with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences. Problem Solving: Ability to take ownership of complex backend challenges, balancing trade-offs between scalability, performance, and maintainability. Bonus Points For
Hands-On with Latest AI Tools: Exposure to AI technologies such as LLMs, Retrieval-Augmented Generation (RAG), or agentic frameworks, and experience using AI to improve development performance. Experience with ORMs: Experience with web services for CRUD operations (SQLModel, FastAPI, Django). Orchestration Systems: Experience with orchestrators (Airflow, Prefect, Temporal, Dagster). Familiarity with Python for Science: Experience with data science and ML libraries (pandas, numpy, scipy, jax, pytorch). Domain Background: Exposure to laboratory software or analytics for life sciences or materials science. Experience with laboratory devices, robotics, or hardware drivers. 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. 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 is strictly prohibited unless contacted directly by Lila Sciences’ internal Talent Acquisition team. Any resume submitted by an agency without a signed agreement will become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
Technology, Information and Internet
#J-18808-Ljbffr