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Principal Software Engineer, Instrument Simulations
Principal Software Engineer designs and leads development of high-fidelity lab automation simulations and integration layers for AI-driven robotic systems, mentoring a small team in Cambridge, MA.
Senior Automated Systems Engineer
Hands-on automation engineer at an AI-driven science startup in Cambridge, MA, designing, building, and maintaining high-throughput automated lab workcells for synthesis and characterization workflows. Bridges science, hardware, controls, and software using Python, CAD/3D printing, sensors, machine vision, and robotics.
Senior Software Engineer, App
Senior software engineer on LILA Sciences' Application team, building the full-stack, AI-native platform that lets scientists collaborate with AI agents — designing UI and APIs, scaling SQL/NoSQL/vector databases, and running workloads on AWS and Kubernetes to connect AI to automated lab workflows.
Principal Software Engineer, Applied AI
Senior Software Engineer on LILA Sciences' Applied AI team, building backend services, data pipelines, and AI integrations (LLM, RAG, agentic AI) that power the company's AI-driven scientific discovery platform. Core stack: Python (FastAPI/Flask/Django), SQL/NoSQL/vector databases, AWS, Kubernetes, and Terraform.
Senior Software Engineer, Data
Senior backend software engineer on LILA Sciences' Data Platform Team, building the data backbone of its autonomous 'AI Science Factory' — high-performance APIs, SQL/NoSQL/vector database systems, workflow orchestration, and cloud infrastructure (AWS, Kubernetes) that turn lab and instrument data into faster scientific discovery.
Software Engineer, AI Platform
Software engineer building the ML libraries, CI/CD pipelines, and data ingestion tooling that power LILA Sciences' AI-driven research platform, working alongside machine learning engineers and researchers. Core stack: Go/Python, Ray, Kubernetes, ArgoCD, and GitHub Actions.
Senior Software Engineer, Operations Research
Senior Software Engineer designs and builds backend systems, APIs, and data pipelines for AI-driven lab orchestration and robotics workflows, using Python, AWS, Kubernetes, and operations research tools.
Senior Software Engineer, Scientific System of Record
Senior full-stack engineer on LILA Sciences' Scientific System of Record team, building the systems that capture experiment plans, lab execution, and results. Day-to-day spans React/TypeScript UIs, Python backend services and APIs, data modeling across SQL/NoSQL/vector stores, and deployment on AWS and Kubernetes.
Staff/ Principal Software Engineer, Scientific System of Record
Lead architecture and development of an AI-driven scientific platform that integrates lab workflows, data capture, and analytics, using TypeScript, React, Python, and modern cloud infrastructure.
Principal Software Engineer, App
Designs and builds the AI-native application layer of LILA's scientific discovery platform: full-stack UIs and APIs (React, TypeScript, FastAPI, Python), database architecture across SQL/NoSQL/vector stores, and AWS/Kubernetes infrastructure so researchers can collaborate with AI agents from hypothesis to experiment.
Senior II/ Staff Software Engineer, Platform Operations
A senior/staff engineer on the Platform Operations team who designs, builds, and operates production backend services, internal tools, CI/CD and deployment workflows, and reliability systems. Core stack includes Python/TypeScript/Go, AWS, Kubernetes, and agentic AI coding tools, working alongside ML and scientific teams.
Staff Engineer, Data Platform
Staff engineer who sets the technical direction for LILA Sciences' data platform: designing ingestion pipelines, storage/lakehouse architecture, orchestration, and data models that serve scientific and ML workflows, while mentoring engineers and setting standards. Core stack: Python, SQL, AWS, Kubernetes, and open table formats like Iceberg/Delta Lake.
Staff Forward Deployed Engineer, Life Sciences
Forward Deployed Engineer embedding with biotech and science teams at LILA Sciences to rapidly build and deploy AI-fueled solutions—real-time data pipelines, agentic scientific workflows, and domain-specific tooling—using full-stack development and scientific computing libraries.
Staff / Principal Automated Systems Engineer
Hands-on automated systems engineer at LILA Sciences who designs, builds, and maintains high-throughput laboratory automation workcells — combining Python control software, sensors, wiring/plumbing, CAD, and machine vision — to turn scientific experiments into reliable, scalable automated workflows.
Technical Program Manager, AI Data
Senior/Principal Technical Program Manager on LILA Sciences' AI Research team, driving AI data generation and curation workstreams: launching cross-functional project teams, enforcing data delivery/QA standards, and feeding standardized datasets into the model training pipeline. A program-management role, not an ML research role.
Associate Director / Director, Customer Program Management, Physical Sciences
Senior, hands-on customer program management role leading delivery of multi-year physical-sciences customer partnerships at LILA Sciences: owning relationships end to end, coordinating AI/ML researchers, experimentalists, and engineers, and building the customer delivery function's processes and tooling. Onsite in Cambridge, MA at an AI-for-science startup.
Principal Engineer, Software (Enterprise Platform)
A hands-on principal-level individual contributor who designs and builds the enterprise platform backbone for LILA's AI-driven autonomous science system: multi-tenancy, identity/permissions, billing, and audit infrastructure, plus AI-native APIs and agentic workflows. Core stack is Python/FastAPI on cloud-native infrastructure (Kubernetes, Terraform, AWS/GCP).
Senior / Staff Machine Learning Engineer, Applied AI
Senior/Staff ML engineer on LILA's Applied AI team, adapting the company's scientific AI models to real customer workflows: training and evaluating LLMs, building evaluation loops, debugging model behavior, and moving capabilities into production systems. Core stack: Python, PyTorch/JAX, distributed training frameworks (DeepSpeed, Ray), and agentic LLM systems.
Shift Supervisor, Research Operations
Your Impact at LILA Lila's Research Operations team runs the automated lab workflows that power our science. As a Shift Supervisor, you own the reliable execution of those workflows across your shift, serve as the…
Senior Director, Software Development, Test Automation
Senior director who architects and leads LILA Sciences' test automation platform and quality engineering practice for its AI-powered lab automation products — building a small team, owning CI/CD test infrastructure, LLM-driven test tooling and evals, and a lab QC framework. Core stack: Python/TypeScript, GitHub Actions, Nx/Bazel monorepos, LLM evals.