Lila Sciences · 1 day ago
Senior Full Stack Engineer
Cambridge, MA
Full-time
Onsite
Mid, Senior Level
$144K/yr - $210K/yr
4+ years expLila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. They are seeking an experienced full-stack senior software engineer to join their software platform team to build cutting-edge tools for automated scientific analysis, focusing on web services and data engineering with an emphasis on Python development.
Artificial Intelligence (AI)Foundational AILife ScienceSoftware
Responsibilities
Design and build high-performance, secure, and well-documented code that integrate with an ecosystem of existing services and apps
Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads
Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade systems at scale
Work with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows and services
Qualification
Required
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: Acute 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: Proven ability to take ownership of complex backend challenges, balancing trade-offs between scalability, performance, and maintainability
Preferred
Hands-On with Latest AI Tools: Exposure to AI technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or agentic frameworks, as well as 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 orchestrators 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, material sciences, or related fields
Benefits
Bonus potential
Generous early equity
Company
Lila Sciences
Lila Sciences creates a scientific superintelligence platform and autonomous labs for life sciences, chemistry, and materials science. It is a sub-organization of Flagship Pioneering.
201-500 employees
H1B Sponsorship
Lila Sciences has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)
Funding
Current Stage
Growth StageTotal Funding
$550MKey Investors
NVenturesFlagship Pioneering
2025-10-14Series A· $115M
2025-09-14Series A· $235M
2025-03-10Seed· $200M
Recent News
2026-01-03
2025-12-17
MIT Technology Review
2025-12-15
Company data provided by crunchbase