Jobs at Lila Sciences

Own a public-sector portfolio (starting with DARPA and ARPA-H), build agency relationships, qualify and prioritize RFIs/RFPs/BAAs, lead opportunities from ID to award and handoff, translate Lila's science into federal narratives, and develop reusable capture playbooks to scale government partnerships and recurring funding.

The Associate Engineer will focus on materials synthesis, prepare reagents, follow SOPs, monitor workflow, maintain data, and collaborate on projects.

Lead and build a test automation platform and quality engineering practice for AI-driven scientific and lab automation products. Architect CI/CD test execution, AI-driven test tooling, eval pipelines, and lab QC frameworks (ALCOA+). Hire and lead a small platform team, set standards and metrics, drive platform adoption, and deliver measurable improvements in signal, flake rate, and time-to-production.

Partner with the CFO to prioritize and advance high-impact finance, people, operations, and strategy work. Shape operating cadence, prepare executive materials, track CFO-owned projects to closure, coordinate cross-functional stakeholders, resolve stalled work, and draft decision notes and executive communications to maintain momentum and clarity across the CFO portfolio.

Lead program governance and cross-functional coordination for the AISF portfolio. Establish charters, roadmaps, and governance; track milestones, risks, and dependencies; run alignment sessions and executive briefings; coordinate resourcing and budgeting; and implement process improvements to scale program delivery across research, engineering, product, and operations.

The role involves implementing AI safety strategies, building evaluation frameworks, and developing safeguards against scientific risks from AI models. Candidates must possess strong technical knowledge and communicate complex concepts effectively.

Build and operate enterprise developer platform features: multi-tenancy, authz/audit, tenant lifecycle and provisioning, public/streaming APIs and SDKs, and integrations for MCPs/agents. Ship backend services in Python/FastAPI, design tenant-aware schemas and isolation, support billing/metering, debug production issues, and collaborate across infra, data, apps, and science teams to meet regulated deployment requirements.

The role involves researching and developing training strategies for large language models, focusing on their applications in scientific reasoning and performance evaluation.

Design and maintain large-scale distributed training systems, optimize performance for ML models, and improve training efficiency.

Design and build Machine Learning libraries, implement CI/CD pipelines, and support Ray-based compute environments, collaborating with ML experts.

Design and implement simulation approaches for transport, kinetics, and reaction networks, integrating AI for materials discovery and collaborating with diverse teams.

As a Senior Accountant, you will oversee accounting functions, ensure compliance with US GAAP, support audits, and drive process improvements.

As an ML Research Scientist, you will develop AI systems for multimodal data extraction and advance scientific knowledge structuring across domains.

As a Forward Deployed Engineer, you will build and adapt computational tools for scientific data, create data pipelines, and interface directly with clients to deliver impactful AI-driven solutions.

The Staff Forward Deployed Engineer role involves deploying AI-powered engineering solutions in chemistry and materials science, focusing on data workflows and user interfaces to transform scientific discoveries.

As a Senior Software Engineer, focus on backend development and AI integration for scientific applications, building systems that leverage advanced AI techniques.

Lead synthesis and optimization of single-crystal epitaxial thin films and heterostructures using MBE, PLD, and sputtering. Design and perform structural (XRD, AFM, RHEED) and electronic/magneto-transport (cryogenic resistivity, Hall, magnetoresistance) measurements, maintain UHV deposition equipment, and collaborate with systems and ML teams to enable high-throughput autonomous materials discovery.

Lead sourcing, evaluating, and commercializing physical-science opportunities (materials, chemistry, energy). Build market and deal models, run primary/secondary research, define specs and commercial theses, and shape partnership/deal structures to launch ventures.

Lead research on multi-modal reasoning systems, develop training strategies, build datasets, and collaborate with scientists to produce scientific superintelligence.

The Robotics Engineer will develop ROS2 nodes, integrate robotic systems, and build simulations, ensuring reliable operation in a scientific facility.