Lila Sciences jobs

Lila Sciences is seeking a Staff Engineer to lead the technical direction of its core data infrastructure. This role involves designing and evolving systems for ingesting, storing, and serving data critical to scientific discovery and machine learning workflows. You will work closely with scientists and researchers to translate requirements into robust platform capabilities, establish architectural patterns and engineering standards, and mentor other engineers. The position is ideal for individuals passionate about data system design who want to make impactful technical decisions.

$192k - $288k

Lila Sciences is building a platform where AI and automation co-evolve to solve complex problems in medicine. Within Life Science AI, Machine Learning engineers build and operate systems that transform foundation models into production capabilities for automated scientific discovery. This Principal ML Engineer role focuses on designing, building, and scaling the ML infrastructure behind these models, with current work in structure prediction, co-folding, sequence design, and multimodal scientific reasoning. You will own critical systems end-to-end, from training pipelines and distributed compute to model deployment and integration into Lila's discovery engine, shaping the technical direction for ML model training, evaluation, and deployment at scale.

$268k - $384k

Lila Sciences is building a platform where AI and automation co-evolve to solve complex problems in medicine. The Foundation Models team within Life Science AI (LSAI) focuses on developing foundation models that integrate biological sequence, molecular structure, and experimental data to drive automated scientific discovery. This role involves contributing to problem formulation, model design, training, evaluation, and integration into Lila's discovery engine, with a specific emphasis on structure prediction and co-folding for antibody and biologics design. The position is for an individual contributor focused on building deep expertise in structure-aware generative AI for biology, owning research sub-problems, and collaborating with experimental scientists to close the computational-experimental loop.

$176k - $304k

Lila Sciences is seeking a Principal Software Engineer, Instrument Simulations to architect and lead the development of their next-generation laboratory automation platform. This role involves designing the simulation infrastructure and integration layer that connects AI-driven experimental design with physical robotic systems, enabling closed-loop scientific discovery at scale. The company is building Scientific Superintelligence™ to solve humankind's greatest challenges by combining advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously.

$204k - $272k

We are seeking a Staff or Principal Software Engineer to join our Scientific System of Record Team and help define and build the next-generation AI-driven scientific platform. In this role, you will serve as a technical leader for systems that connect scientific intent, laboratory execution, data capture, and AI-driven analysis. You will shape the architecture of user interfaces, services, high-performance APIs, databases, and reliability-critical systems that integrate advanced AI frameworks with complex scientific analytics and laboratory workflows. You’ll work closely with ML researchers, platform engineers, data engineers, product teams, and scientists to turn complex scientific processes into scalable, elegant software systems. This is an opportunity to set technical direction for a cutting-edge AI platform with real scientific impact.

$204k - $310k

Lila's Physical Science AI team leverages AI to accelerate discovery in materials and chemistry, contributing to the company's mission of building Scientific Superintelligence. As a Machine Learning Engineer, you will act as a crucial link between research and production, transforming models and agentic workflows developed by scientists and researchers into reliable, scalable systems. The role emphasizes strong software engineering skills and practical experience in deploying ML systems to production, with a scientific background being a beneficial but not essential attribute. Curiosity and a passion for scientific discovery are key to thriving in this position.

$180k - $298k

Lila Sciences is seeking a Software Engineer to join a team that builds software powering the company's ML workflows and research tooling. You will collaborate with Machine Learning Engineers and Researchers to develop, support, and maintain Lila's ML libraries and tools. This role involves designing and building high-performance, secure, and well-documented Machine Learning libraries, creating CI/CD pipelines and integration tests for ML workflows, and architecting repository designs to follow consistent standards. You will also support debugging, logging, and maintenance for Ray-based compute environments and develop data ingestion pipelines linking lab data to ML teams.

$144k - $240k

Lila Sciences is building the infrastructure for autonomous science, creating AI systems that design and execute experiments across life sciences, chemistry, and materials science. The platform is designed for reliability and scale, serving external customers who require security, auditability, and operational rigor. This Principal Engineer role will focus on building foundational enterprise systems to prepare Lila for large pharmaceutical and research organizations. The work involves driving core enterprise capabilities like multi-tenancy, identity management, permissions, audit infrastructure, and billing. A key aspect will be pushing the frontier by building agentic AI-powered systems for self-service tenant management, customer observability, automated compliance, and AI-native external APIs for programmatic interaction. This is a deeply technical, high-autonomy, individual contributor role focused on defining and building correct, secure, and scalable platform infrastructure, with a fast-paced, weekly shipping cadence.

$204k - $310k

LILA Sciences is seeking a Principal Software Engineer to join their Applied AI group. This role focuses on building the next generation of AI-driven scientific platforms by designing and optimizing backend systems, data pipelines, and AI integrations. You will work at the intersection of backend engineering and machine learning, ensuring the platform scales and supports advanced applied AI techniques like Retrieval-Augmented Generation (RAG), agentic AI, and large language model (LLM) integration. The ideal candidate bridges software engineering and applied AI, transforming research into production-grade systems for scientific discovery.

$204k - $310k

LILA is building a platform to enable scientists to seamlessly collaborate with AI, moving from hypothesis to results without context-switching between numerous tools. The Application Team integrates Machine Learning, Life Sciences, and Physical Sciences into an AI-native experience. This role involves designing and building agents, interfaces, and platform integrations that allow researchers to work with AI effectively. The work is challenging, requiring innovation in connecting AI to automated lab workflows and knowledge graphs, and offers opportunities to learn new domains and ship impactful tools that accelerate research.

$204k - $348k

Lila Sciences is building the world's first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of discovery by applying AI to every aspect of the scientific method to solve humankind's greatest challenges in human health, climate, and sustainability. We are a uniquely cross-functional and collaborative team that thrives in unstructured and creative environments, valuing diverse perspectives and transferable skills. If you are passionate about accelerating scientific discovery, we encourage you to apply.

$148k - $240k