Lila Sciences

You'll lead the **security architecture** for cloud applications at FedRAMP IL5/IL6 levels, then build reusable security platforms that scale across the organization. Your work will directly enable **secure product delivery at speed** while meeting the highest federal standards. This is a hands-on leadership role that combines architecture, engineering, and compliance.

You'll lead the **day-to-day and long-term management** of multiple facilities for a cutting-edge scientific AI company. Your core impact is owning a scalable facilities strategy, driving safety and compliance across sites, and overseeing budgets and vendor governance. This role offers **cross-functional leadership** with real responsibility for building a world-class team that scales with growth.

You'll join Lila Sciences to maintain and optimize the cell-free platform for protein expression. Your work will directly support accelerating scientific discovery. You'll collaborate with a team building **Scientific Superintelligence** to solve **humankind's greatest challenges**.

You'll shape the vision and roadmap for platforms that accelerate scientific discovery in physical sciences, leading product strategy across simulation, lab automation, data, and ML. You'll serve as the senior external voice, driving commercial outcomes and closing deals. This role offers the chance to build Scientific Superintelligence™ at a mission-driven startup tackling historic challenges.

You'll design and deploy electrical systems for automated scientific equipment at **Lila Sciences**, contributing to **rapid prototyping** and cross-system integration. This early-career role lets you accelerate autonomous science in a fast-paced R&D environment.

You'll drive **closed-loop learning** for **extreme materials** at Lila Sciences, focusing on anti-wear and anti-corrosion coatings. Your expertise in mechanics and microstructural analysis will shape automated workflows for the autonomous science platform.

You'll join the high-throughput Chemistry team at Lila Sciences, performing **automated chemical synthesis** and **high throughput experimentation** using platforms like Chemspeed. You'll contribute to the design-build-test cycle for drug discovery, gaining hands-on experience with state-of-the-art automation technologies. This role offers exposure to engineering principles and advanced lab systems in a dynamic environment.

You'll own the design, execution, and refinement of our flagship leadership development program, **Echelon**, driving curriculum quality and participant experience. Your work will directly shape a **fast-growing scientific and AI organization**. This hands-on role blends content instincts with sharp program management.

You'll design and build high-performance **UI and APIs** for an AI-native scientific platform, integrating with agents and LLM orchestration. Your work will accelerate research **timelines from months to days** by connecting AI to lab workflows and knowledge graphs.

You'll design and build **novel automated experimental platforms** for solid state synthesis and processing, integrating hardware and software to accelerate scientific discovery. You'll work across vacuum synthesis, platform science, and characterization teams to **create the lab of the future**. This role combines hands-on engineering with scientific investigation in a fast-paced startup environment.

You'll build a **discrete event simulation platform** for **Lila Sciences' autonomous science factory**, enabling rapid iteration on scheduling and fleet coordination algorithms. Your work will serve as the primary testbed for production code at a fraction of the cost.

You'll join the Data Platform Team to build **cutting-edge data systems** powering Lila's AI Science Factory. Your work spans real-time ingestion, large-scale storage, and self-service tools that **accelerate scientific discovery**. Collaborate with scientists and ML engineers to turn raw measurements into breakthroughs.

You'll drive the development of advanced characterization workflows for magnetic and superconducting materials, integrating them into Lila's autonomous science platform. Your core impact will be designing high-throughput experiments that yield critical structural, magnetic, and transport data to accelerate materials discovery. You'll collaborate with experimentalists, systems engineers, and ML scientists to build scalable characterization workflows.

You'll design and build backend systems and data infrastructure for an **AI-driven scientific platform**, working with robotics researchers and scientists. You'll develop high-performance APIs and databases, and optimize system reliability to enable **automated lab orchestration at scale**.

You'll join the Lab Software Team to build cutting-edge tools for automated scientific analysis, collaborating with software engineers, lab scientists, and ML engineers. You'll own the full stack of lab integration, from orchestration of labflows to UI/UX design. This role offers the chance to shape the future of **AI-driven science** and work on **large-scale production systems**.

You'll bring **commercial voice** to life sciences opportunities at **Lila Origins**, assessing platform-produced assets and shaping ventures. You'll work at the interface of science, market, and deal structure, building quantitative models and pressure-testing ideas with external experts.

You'll serve as the connective tissue between researchers, model development teams, and leadership, translating complex AI safety research into structured execution. You'll build organizational information flows and drive accountability across cross-functional teams. This role offers the chance to impact **AI safety efforts** at a company building **scientific superintelligence**.

You'll join the SSR team to build the memory layer for Lila's scientific operations, connecting **scientific intent** to physical reality. Your work will ensure **reproducibility** and close the **Design-Build-Test-Learn loop**.

You'll launch and operate cross-functional project teams producing AI data for **scientific superintelligence**, ensuring high-velocity delivery to model training. You'll serve as the key communication interface between project teams and research, building clarity and momentum. This role is perfect for a TPM who thrives in ambiguity and wants to shape AI research data pipelines.

You'll **lead groundbreaking technology development** initiatives at an **innovative early-stage company**, connecting cutting-edge research with program execution. Your impact will shape the future of **Scientific Superintelligence™** across medicine, materials, and energy.

You'll shape Lila Origins by sourcing and evaluating **new physical science opportunities**, building market models, and recommending where the platform should focus. You'll translate **scientific trends in materials and energy** into actionable venture and partnership strategies. It stands out as a chance to define early-stage assets at a company building Scientific Superintelligence.

You'll **design and implement automation solutions** for a range of laboratory workflows at Lila Sciences. You'll **translate scientific objectives into scalable automated workcells**, collaborating with scientists, hardware, and software teams. This role offers **hands-on development and cross-functional impact** in a fast-moving AI-driven research environment.

You'll support **development of antibody display workflows** to determine binding, stability, and function of biologics. You'll develop and optimize assays for **highly multiplexed, high-dimensional datasets** and collaborate with synthetic biologists and automation engineers to make them automation-ready. This role partners across teams to advance **scientific super intelligence**.

You'll **translate complex scientific work** into rigorous, accessible content as a managing editor. You'll **guide a small team of contractor writers** to ensure consistent, high-quality storytelling. This role is mission-critical for helping stakeholders understand and trust Lila's AI-driven science platform.

You'll design and scale the procurement function for a **scientific AI platform**, owning sourcing, vendor management, and payments for hundreds of millions in annual spend. You'll work closely with **R&D and engineering teams** to ensure material availability and cost optimization. This role sits at the intersection of **science, engineering, and finance** in a high-growth biotech/AI environment.

You'll **lead the design of bench-scale robotics and mechanical systems** for **life science and physical science automation**. You'll collaborate with cross-functional teams to deliver state-of-the-art solutions. This role offers **early-stage equity** and a chance to solve impactful challenges.

You'll **partner with assigned managers** to provide hands-on HR guidance on talent management, employee relations, and team effectiveness in our San Francisco office. Your core impact will be **executing core people programs** and helping build a strong, consistent culture as the organization scales. This role offers meaningful independence with room to grow into a broader strategic advisory capacity.

You'll **build and train ML models for scientific experimental systems** as part of a team creating digital twins of experiments. Your work will **directly inform how next-generation AI Science Facilities experiments are designed and run**. You'll get hands-on experience with operator learning, surrogate modeling, and uncertainty quantification.

You'll work at the intersection of **LLMs and Bayesian optimization**, prototyping approaches that combine language model reasoning with principled experimental design. Your work will land in the decision-making stack that powers experimental campaigns across Lila's AI Science Facilities. This co-op offers a chance to **benchmark LLM-augmented strategies** against established baselines and contribute to **open-ended scientific decision-making** problems.

As a Co-Op at Lila Sciences, you'll join the Chemistry team to assist in designing advanced microfluidic platforms for **controlled synthesis of lipid nanoparticles (LNPs)**. You'll contribute to Lila's LNP platform by formulating novel LNPs with a focus on **high-throughput screening** to optimize lead formulations. This role bridges physical sciences and bioanalytical domains, collaborating with teams across chemistry, biology, and data science.

You'll grow **single-crystal epitaxial thin films** for **novel quantum materials** discovery at Lila Sciences. Your core impact involves designing growth and characterization protocols that feed the autonomous science platform, accelerating closed-loop materials discovery. You'll partner with ML scientists and experimentalists to keep campaigns scientifically grounded.

You'll establish delivery cadence for **Life Sciences AI programs**, serving as the connective tissue between model researchers, scientists, and engineering teams. Drive accountability across cross-functional teams, ensure **Lab-in-the-Loop feedback cycles** stay on schedule, and translate research priorities into structured execution. This role offers **direct impact on foundation models for biology** at a rapidly scaling AI company.

You'll work on **turning unstructured scientific knowledge** into structured signals that power downstream applications. You'll contribute to **fine-tuning and evaluating extraction models** and building pipelines. This role gives hands-on experience **shipping work into production systems**.

You'll join the IT Security team at **Lila Sciences**, focusing on securing AI agents and automation pipelines. You'll own projects evaluating, hardening, and monitoring AI tools, gaining hands-on experience in **agent governance** and **prompt-level threats**. This co-op offers exposure to cutting-edge AI security domains that most academic programs don't cover yet.

You'll support **lab IT/OT security** and **computing infrastructure** within Lila Sciences' laboratory environments. You'll contribute to asset management, device standardization, and day-to-day lab IT support while gaining exposure to OT security tooling. This is a real operational role, not a shadow assignment.

You'll join Lila's Hardware and Controls team to design and build **real hardware** for **autonomous scientific discovery**, working alongside scientists and engineers. Your work will directly contribute to Lila's mission of building Scientific Superintelligence. This co-op offers **hands-on experience** from CAD to prototype to test builds.

You'll work on **corporate development and venture creation** at Lila Sciences' Origins team, evaluating and advancing scientific opportunities. You'll **build financial models and partner-facing materials** to support deal structuring and execution. This role offers high impact and ownership at an ambitious scientific company.

You'll design and implement automation solutions for **laboratory workflows** at Lila Sciences, building scalable high-throughput workcells. Your core impact will be translating scientific objectives into **reliable automated systems** that accelerate discovery. You'll collaborate closely with cross-functional teams from concept to deployment.

You'll drive **high-throughput analytical studies** for small molecules and support **AI-driven chemical discovery** at Lila Sciences. Your work will feed directly into closed-loop optimization campaigns, accelerating our chemistry pipeline. You'll collaborate with world-class teams building scientific superintelligence.

You'll **build robotic skill libraries** for **autonomous scientific experiments** in the Next Gen Robotics team at Lila Sciences. Your work will directly **accelerate scientific discovery** by improving simulation, integration, and debugging on physical hardware. This co-op offers a unique blend of production software and real-world lab environments.

You'll build scalable **NGS data processing pipelines** and **single-cell RNA-seq workflows** using tools like Nextflow and Scanpy. You'll collaborate with software engineers and lab scientists to create automated scientific analysis tools, driving discovery in **therapeutic antibody development**. This role offers early-stage equity at a pioneering AI-driven science company.

You'll join the **Maintenance Engineering team** at Lila's AI Science Factories, ensuring uptime of diverse scientific instruments. Your core impact is **executing preventive maintenance** and first-response troubleshooting to keep automated workcells running reliably. This hands-on role offers the chance to **shape a founding team** in a fast-moving, high-impact scientific environment.

You'll **build financial models** and **partner-facing materials** to evaluate scientific opportunities at Lila Sciences. Working directly with leadership, you'll **drive venture structuring and deal execution**. This high-impact role puts you at the center of decisions shaping a pioneering AI-driven science company.

You'll join the **Hardware Controls Engineering team** to design and test electrical systems for **automated scientific equipment**. Gain hands-on experience with **rapid prototyping and cross-system integration**.

You'll support software and workflow improvements across a scientific platform, working at the intersection of scientists, software engineering, and product. You'll **shadow users** to translate needs into clear product requirements and **own a small feature** from discovery through delivery. This role offers hands-on exposure to **scientific workflows becoming software requirements**.

You'll work at the intersection of applied AI and corporate finance, building LLM-powered tools that go into immediate use. You'll partner with finance stakeholders to prototype solutions and measure impact, creating a playbook for the broader team.

You'll lead **multidisciplinary hardware and controls engineering programs** driving execution across product management, engineering, and external vendors. Your core impact is ensuring **on-time, on-budget delivery** of custom automation and control systems in regulated environments. This role stands out for blending **hands-on technical depth with strategic program ownership** at a fast-paced AI science startup.

You'll define the technical vision for **data platform architecture** at a pioneering AI-driven science company. You'll design ingestion frameworks, storage systems, and orchestration patterns that enable **automated scientific discovery**. This role offers the chance to shape core infrastructure while **mentoring engineers** and collaborating with ML researchers and lab scientists on groundbreaking problems.

You'll join the Data Platform Team to build **cutting-edge tools for automated scientific analysis** and design **high-performance APIs** for AI-driven applications. You'll collaborate with engineers, scientists, and ML researchers to create the data backbone of Scientific Superintelligence.

You'll lead enterprise sales for **top 20 pharma** and **biotech accounts** at Lila Sciences, the first platform for scientific superintelligence. You'll own the full sales cycle, building pipeline and closing deals for AI-driven drug discovery. This role combines technical depth with entrepreneurial impact in a high-growth AI startup.

You'll join Lila's Robotics team to organize projects and keep cross-functional work on schedule. You'll track milestones, surface risks, and maintain documentation, growing into broader program ownership as you build context. This role offers exposure to how **robotics**, **AI**, and **hardware** come together.

You'll own execution for the Chemistry experiment team, managing project plans and cross-functional dependencies to accelerate scientific discovery at LILA. Your work will create the conditions for autonomous science programs to run at speed and scale. This role combines deep tech program management with a mission to solve humanity's greatest challenges.

You'll serve as the go-to resource for multimedia content creation, supporting **scientific and engineering teams** to translate complex concepts into clear visuals. Your work will impact **sales enablement, commercial materials, and internal communications**. You'll also help build an organized asset library for cross-team reuse.

You'll join Lila Sciences' high-throughput Research Operations team, focusing on **hands-on materials synthesis** and characterization. Your work will directly contribute to projects driving company growth using **state-of-the-art automation technologies**.

You'll **triage and maintain automated workcells** on the AI Science Factory during second shift, keeping experiments moving. You'll partner with Research Ops scientists and hand off a clear status to the day team. This contract role offers hands-on work with cutting-edge lab automation.

You'll support corporate strategy development, competitive intelligence, and **M&A processes** at a high-visibility, high-impact startup. You'll work directly with senior leaders and have regular exposure to **board and investor-level materials**. This role is ideal for someone early in their career who is intellectually curious and energized by the intersection of **science, technology, and business strategy**.

You'll lead the team responsible for Lila's product data platform, owning architecture, delivery, and reliability. Your core impact will be building a **self-service infrastructure** for data ingestion, storage, and processing that enables AI/ML and scientific discovery. You'll work with cutting-edge technologies like **real-time streaming** and **Lakehouse architectures** to accelerate scientific breakthroughs.

You'll be a foundational member of the legal team at Lila Sciences, shaping and scaling legal capabilities in a frontier technology environment. You'll handle **commercial agreements** and advise on **AI-related regulatory issues**, partnering with cross-functional teams to accelerate scientific discovery. This role offers high ownership and the chance to build scalable legal infrastructure using AI tools.

You'll drive **planning, execution, and delivery** of therapeutic programs on our platform, owning timelines and progress across multidisciplinary teams. You'll serve as the **senior operational interface** with pharma and biotech partners. This role carries significant scientific complexity and commercial stakes.

You'll work on **inter- and intra-cell transport** for an autonomous science facility, integrating and debugging hardware and software. Your impact is unblocking upstream science projects gated on what you ship. This is a **3-month contract** with potential to extend or convert to full-time.

You'll join a cohort of researchers at the intersection of AI and materials science, working on **open-ended scientific challenges** alongside Lila's world-class team. You'll have access to proprietary datasets and high-performance compute, with opportunities to **publish research** and push the frontier of scientific discovery.

You'll join our high-throughput Research Operations team, focusing on **material formulation and characterization** using automation technologies. Your work will directly support projects that drive company growth. This role offers **hands-on experience with state-of-the-art lab automation** in a dynamic, shift-based environment.

You'll own SketchUp models for **autonomous science lab facilities** at Lila Sciences. Your work will drive **design reviews** and **spatial planning** across our lab buildouts. This contract role offers **hybrid flexibility** after an on-site ramp-up period.

You'll provide **operational and administrative support** to the **Government Affairs team** in Washington, D.C., serving as the team's operational backbone. Your work will ensure executives can focus on core efforts by managing scheduling, travel, and office operations. This role requires 5 days a week in-office in Washington, D.C.

You'll lead **discovery chemistry strategy** and **synthetic route design** for an AI-driven molecular discovery platform, enabling rapid progression of small molecules from concept to validated candidates.

You'll develop **executive social presence** and **engage technical communities** to accelerate the credibility of Lila's scientific leaders. You'll grow high-quality networks across academia, industry, and frontier tech. This role blends social strategy, influencer relations, and hands-on community building.

You'll own day-to-day program execution within the Life Sciences experiment team, maintaining project plans and tracking milestones. Your work will enable **autonomous experimentation** to run efficiently and at scale. This role offers the chance to shape programs from the ground up in a fast-paced, early-stage environment.

You'll lead **instrument development initiatives** and the **Virtual Lab Team** to rapidly ship laboratory instruments at scale. Your core impact will be making fast, reliable decisions across hardware-software integration to keep momentum high. You'll work at the intersection of AI, robotics, and physical instrumentation in a high-throughput environment.

You'll lead the buildout of technical safety systems for **scientific superintelligence** at Lila Sciences, designing and deploying safeguards beyond the current state-of-the-art. Your core impact will be setting the research strategy for safety systems across scientific data pipelines, post-training, classifiers, and red-teaming. You'll also contribute to external communications on safety efforts.

You'll drive research on **foundation models** for life science applications, designing and training large-scale generative models on biological and chemical data. Your work will close the loop between computational predictions and experimental validation, accelerating scientific discovery. This high-impact role offers the chance to shape the technical agenda at a leading AI-for-science company.

You'll **formulate and characterize lipid nanoparticles (LNPs)** for targeted delivery, enabling a high-throughput screening cascade. You'll **collaborate across protein, cell biology, and data science teams** to accelerate nucleic acid delivery discovery. This role offers the chance to work on **autonomous flow chemistry** at the forefront of AI-driven science.

You'll develop AI-driven methods for **antibody design and engineering** within Lila's Life Sciences AI team, working at the intersection of ML and biology. Your work will directly enable **wet-lab-validated leads** for therapeutic campaigns. This role offers hands-on impact across de novo design, affinity maturation, and developability optimization.

You'll **define the strategy and roadmap** for AI-powered products in drug discovery and chemical synthesis. You'll shape product opportunities from real-world discovery challenges and drive execution from concept to launch. This role offers the chance to build breakthrough solutions at the intersection of AI and life sciences.

You'll lead the discovery and engineering of **next-generation delivery systems** for nucleic acid cargo, driving precise targeting to diverse tissues. Your core impact will be integrating **AI-driven hypothesis generation** and robotics-enabled experimentation to accelerate delivery technology development. This role offers the opportunity to shape transformative therapeutic discovery at the intersection of AI and biology.

You'll lead **federal capture efforts** for Lila Sciences, converting senior agency relationships into **government partnerships and funding wins**. You'll shape competitive opportunities before they are formally announced and open doors requiring **scientific and policy credibility**. This role sits at the front end of capture within the Government Partnerships organization.

You'll **own day-to-day program execution** within the Materials Science experiment team at Lila Sciences, ensuring autonomous experimentation programs are delivered on time. You'll serve as the **primary operational interface** between the science team and platform partners, translating scientific goals into structured workstreams. This role offers the chance to impact high-stakes materials discovery in a fast-paced, deep tech environment.

You'll develop AI systems that autonomously read and structure scientific knowledge across text, images, and experimental data. Your work will help unify the world's scientific information into machine-understandable form, **powering reasoning and autonomous discovery** in materials science and chemistry. You'll collaborate with domain experts to **align extracted data with real-world discovery workflows**.

You'll architect and lead the development of **high-fidelity simulation environments** and **integration layers** for our next-generation laboratory automation platform. Your work will connect AI-driven experimental design with physical robotic systems, enabling closed-loop scientific discovery at unprecedented scale.

You'll design and build high-performance UI and APIs for AI-driven scientific applications, collaborating with ML researchers and lab scientists. Your work will **drive the implementation** of full-stack services and **optimize system performance** across large-scale workloads. You'll also **leverage cloud infrastructure** like AWS and Kubernetes to deploy production-grade systems.

You'll build the **next-generation AI-driven scientific platform** for Lila Sciences. You'll focus on developing user interfaces, services, and APIs that integrate advanced AI frameworks with complex scientific workflows. This role offers the chance to apply **deep full-stack expertise** to a cutting-edge platform with **real scientific impact**.

You'll develop and apply **modern process chemistry approaches** to support Discovery Chemistry at Lila Sciences. You'll bridge early discovery and process development by designing **scalable, data-rich experimental workflows**. This role combines hands-on chemistry with an engineering mindset to shape next-generation capabilities.

You'll lead **research and development of autonomous robotic systems** for a scientific superintelligence platform. You'll develop novel algorithms and deploy intelligent robots that accelerate **fully autonomous scientific discovery**. This role combines cutting-edge robotics, machine learning, and systems engineering.

You'll join a **high-agency AI safety team** at Lila Sciences, building evaluations and safeguards for **scientific superintelligence**. You'll develop risk-focused evaluations and collaborate across science, model training, and lab teams to shape our safety strategy.

You'll build **agentic AI systems** for scientific discovery, enabling autonomous experimentation and reasoning. Your work directly accelerates breakthroughs in **biotech** and **materials science**. This role blends cutting-edge AI research with real-world lab integration at a well-funded startup.

You'll **build, assemble, and troubleshoot custom automated instruments** and workcells that advance frontier research in life and physical sciences at Lila Sciences. Your work will directly enable rapid prototyping and empower cross-disciplinary teams to turn innovative designs into reality.

You'll develop and deploy **advanced analytical strategies** to support **Discovery Chemistry** across Lila's platform, enabling rapid design and optimization of small molecules. You'll generate high-quality experimental data to accelerate platform learning and shape next-generation discovery workflows.

You'll design and build scalable simulation platforms for autonomous science at Lila Sciences, working across the full stack from scene authoring to automated data generation. Your work will **directly de-risk robotics development** and accelerate **scientific discovery timelines**. This is a foundational role with significant influence on tooling and architecture.

You'll design and optimize backend systems, data pipelines, and AI integrations for a **AI-driven scientific platform** at Lila Sciences. Your work will bridge software engineering and applied AI, turning research into production-grade systems that **accelerate scientific discovery**. You'll collaborate with ML researchers and scientists to deploy cutting-edge AI techniques like **RAG and agentic AI**.

You'll **build high-performance ML libraries** and **CI/CD pipelines** for a team advancing scientific superintelligence. Your work will directly accelerate research in medicine, materials, and energy.

You'll design, build, and support integrations in **Boomi AtomSphere** that power core business systems at Lila Sciences. You'll own end-to-end integration delivery from requirements through deployment and monitoring. This role offers the chance to work across ERP, HCM, IAM, CRM, and ITSM platforms while shaping best practices.

You'll **design, develop, and optimize electromechanical systems** for an **AI-powered science platform** that accelerates discovery across medicine, materials, and energy. You will **bridge hardware, software, and controls** to deliver high-performance automated solutions. This role offers a unique chance to work at the intersection of AI and physical systems.

You'll own the product vision for a dedicated scrum team building the **first AI-native scientific discovery platform**. You'll define roadmaps and execute across the full stack, translating **complex scientific workflows** into intuitive tools. This role sits at the intersection of commercial, engineering, and research.

You'll own **end-to-end delivery of capital projects** for a scientific research company, including lab buildouts and HVAC upgrades. Your work directly enables Lila's scientific operations. You'll manage vendors, budgets, and cross-functional teams in a fast-paced environment.

You'll join Lila Sciences' **high-throughput Cell-Free Expression platform** to build and automate AI-driven processes. You'll optimize cell-free systems for efficient protein synthesis and collaborate with biologists, ML scientists, and engineers. This role offers a chance to contribute to **Scientific Superintelligence™** at a fast-paced startup.

You'll join the AI Research team to **train LLMs for long-horizon scientific discovery**, spanning SFT to asynchronous RL on agentic harnesses. Your work will **scale post-training and sharpen reasoning** across streams like GPU optimization, stack infrastructure, and evaluations.

You'll lead **research and development of autonomous robotic systems** for a scientific superintelligence platform. Your work will **accelerate scientific discovery** by enabling fully autonomous workflows. This role combines cutting-edge robotics, machine learning, and systems engineering.

You'll develop next-generation learning systems and reasoning algorithms for agentic LLMs at the **intersection of large language models** and **scientific reasoning**. Your core impact is enabling systems that learn from experience and improve through interaction.

You'll design and build **agent-driven systems** for **AI-orchestrated process engineering** across industrial applications. Your work will shape closed-loop autonomous process engineering to solve real-world problems at Lila's scientific superintelligence.

You'll advance **multi-modal reasoning** with vision-language models on scientific data. Your work will directly impact **Scientific Superintelligence** by building systems that interpret images, plots, and text. You'll collaborate with domain experts to scale research into production.

You'll own **revenue accounting operations** for licensing and collaboration agreements in a fast-paced biotech. Your work ensures accurate revenue recognition, partner billing, and scalable processes that directly support **scientific breakthroughs**. **Lila Sciences** combines AI with science to accelerate discovery across medicine, materials, and energy.

You'll design and optimize novel lipids and small molecules for drug delivery applications, working with a cross-functional team of chemists, engineers, and data scientists. Your work will bridge physical sciences and bioanalytical domains to enable **high-throughput experimentation** for closed-loop optimization. This role offers the chance to contribute to **next-generation therapeutic development** using cutting-edge AI and automation.

You'll join a discovery platform team decoding mRNA translation dynamics. Your work will **generate rich biological datasets** that feed directly into machine learning models. This role offers a chance to **integrate synthetic biology, high-throughput experimentation, and intelligent automation**.

You'll own **cloud security architecture** and **compliance programs** for Lila Sciences' multi-cloud environments. You'll partner with Engineering and Data Science to enable rapid yet safe experimentation. This role offers a chance to shape security strategy at a cutting-edge AI company.

You'll **co-architect an AI-for-cell-biology platform** that integrates AI, lab automation, and closed-loop experimentation to solve therapeutic challenges. Your core impact is **owning the applied BioML charter** and leading a team of domain-embedded scientists to translate platform capabilities into real-world drug discovery. You'll also **pioneer new closed-loop experiments** that redefine how cell biology research is done.

You'll **own the operational execution layer** for Lila's **AI Science Factories** (AISFs), building the Local Site Sustaining Engineering function from scratch. Your core impact is ensuring fleet reliability, incident response, and continuous improvement across sites while authoring Blueprint standards for global scaling. This role combines engineering rigor with strategic influence, reporting to the VP with a dotted line to Global Sustaining Engineering.

You'll own core accounting functions and help implement best-in-class processes at Lila Sciences, a company building **Scientific Superintelligence**. You'll ensure timely, accurate financial reporting and partner across teams to scale financial operations during rapid growth.

You'll develop robust software for **lab instrument integration** in our AI-enabled laboratory. Your work will directly accelerate scientific discovery by powering the communication between robotics and control software.

You'll lead software infrastructure development for **protein design and engineering pipelines** at Lila Sciences, building systems that connect generative models, scientific data, and experimental workflows into **reliable production-grade pipelines**. You'll own the engineering side of the **"Lab-in-the-Loop" lifecycle**, translating research code into scalable systems for commercial partnerships.

You'll **own the end-to-end factory layout** for Lila's AI Science Factories, integrating lab instrumentation and robotics into cohesive designs. Collaborate with cross-functional teams to create **safe, scalable, high-throughput autonomous research environments**. This role is central to translating complex requirements into a factory that enables next-generation scientific capabilities.

You'll build cutting-edge tools for **automated scientific analysis** on the Lab Software Team, collaborating with software engineers, scientists, and ML engineers. Your work will bridge AI-driven science with real instrument integration. You'll own the full stack from UI to cloud infrastructure in a fast-paced environment.

You'll design, program, and deploy control systems using **PLC and SCADA technologies** for automated scientific equipment. Your work will directly impact **laboratory automation** and integration with advanced robotics. You'll collaborate across teams to enhance **IT/OT factory infrastructure**.

You'll serve as a technical leader building the next-generation **AI-driven scientific platform** that connects scientific intent with laboratory execution. You'll shape architecture for **systems that integrate AI frameworks with complex scientific workflows** and work closely with ML researchers, engineers, and scientists to turn complex processes into scalable software. This is a rare opportunity to set technical direction at a cutting-edge AI company with real scientific impact.

You'll design **agents, interfaces, and platform integrations** that let researchers seamlessly collaborate with AI. You'll build the core platform integrating ML, life sciences, physical sciences, and software into an AI-native experience. **You'll ship things that matter**, accelerating research timelines from months to days.

You'll design and optimize infrastructure and delivery platforms at Lila Sciences, bridging platform engineering, SRE, and DevOps. You will build **Kubernetes-based systems** and **CI/CD pipelines** that power automated scientific analysis and experiment orchestration. This role offers the chance to impact **scientific superintelligence** with startup speed.

You'll embed with biotech and science teams to build **AI-powered solutions** for research. You'll ship production code in days, transforming **scientific discovery** with high-velocity engineering. This role combines software development with **customer-facing impact**.

You'll lead **engineering for autonomous AI science factories** at Lila Sciences, defining the platform architecture across hardware, automation, and systems. You'll drive **scalable deployment of labs** integrating AI/ML for scientific discovery. This executive role sits on the senior leadership team, reporting to the Chief Autonomous Science Officer.

You'll accelerate commercial growth and strategic partnerships at **Lila Sciences**, a company building Scientific Superintelligence. You'll define marketing motions that translate frontier science into enterprise-ready programs, driving pipeline and revenue across priority industry segments. This senior role reports to the CEO and works directly with Sales, Partnerships, and Product leadership.

You'll design **state-of-the-art simulation approaches** for materials discovery and integrate them with **AI-driven platforms**. Your work will be integral to predicting and controlling complex materials, partnering with machine learning and materials science experts. This role offers the chance to **accelerate scientific discovery** in a dynamic startup environment.

You'll build and lead the tax function at **Lila Sciences**, establishing tax strategy, infrastructure, and compliance across federal, state, local, and international jurisdictions. You'll partner with Finance, Legal, and executive teams to **optimize tax positions** and support company growth. This high-impact role offers the opportunity to **shape the function from the ground up**.

You'll partner with assigned managers and client groups to provide day-to-day HR guidance, support people programs, and help build a strong culture as the organization scales. This role offers a foundation for **growing into a strategic HR advisory capacity** while making **tangible impact on talent and culture**. You'll coach leaders on people leadership and drive key HR initiatives.

You'll lead a team of recruiters and sourcers setting a high talent bar for **AI, Software, and Scientific hiring**. You'll design interview processes, develop sourcing strategies, and build metrics infrastructure. This role offers high autonomy to create a talent function that's a competitive advantage.

You'll define how Fortune 500 energy and materials companies engage with the **first platform for scientific superintelligence** and drive **enterprise sales for AI-driven materials platform**. Core impact: owning a portion of physical sciences revenue pipeline from prospecting to close. Stands out as a foundational role building and scaling a new organization.

You'll lead the product strategy for Lila's **Agentic Superscience platform**, reinventing the scientific method through AI. Your core impact will be transforming complex scientific workflows into a scalable software ecosystem, directly influencing the company's competitive advantage.

You'll be considered for future opportunities at Lila Sciences, a company building **Scientific Superintelligence™** to solve humanity's greatest challenges. You'll join a team that combines **advanced AI models** with proprietary instruments to accelerate scientific discovery. This role offers the chance to work on **historic problems** with startup speed.

You'll support second-shift operations in Lila Sciences' AI Science Factory, maintaining **laboratory operational readiness** for high-throughput scientific workflows. You'll manage consumables, restock materials, and support **experimental teams** to ensure continuous operation. This role is critical for a rapidly scaling AI-driven research environment.

You'll own **go-to-market strategy** for Lila's AI-powered life science portfolio, translating complex capabilities into compelling stories. Your work will drive adoption among biopharma and R&D leaders, shaping product narratives and launch plans.

You'll design **novel reasoning frameworks** for LLMs to enable scientific discovery. Your work bridges deep theoretical research with practical ML engineering, pushing the boundaries of how **scientific hypotheses are generated and tested**. You'll collaborate with scientists to encode domain knowledge into reasoning systems.

You'll design and deploy scalable ML workflows for scientific discovery in **materials, chemistry, and physics** at Lila Sciences. Your work will advance **state-of-the-art algorithms** toward scientific superintelligence, solving challenges like energy and medicine. You'll collaborate with cross-functional teams to productionize models and **build CI/CD pipelines**.

You'll administer and troubleshoot computing infrastructure in a laboratory environment, bridging corporate IT and operational technology. You'll ensure reliable autonomous science operations by supporting lab workstations, edge compute, and instrument-adjacent systems. This foundational role offers the chance to define standards and build scalable processes as the company grows.

You'll lead **go-to-market strategy** for **AI-driven materials and chemistry platforms**, translating complex tech into compelling narratives for industrial R&D leaders. This role sits at the intersection of physical science domains, autonomous experimentation, and AI modeling.

You'll build next-generation **in silico multiphysics and multiscale simulation capabilities** powering AI-driven scientific discovery. You'll develop high-fidelity digital twins and integrate them into **autonomous closed-loop discovery workflows**. Work with advanced simulation methods like FEM, CFD, and phase-field in a cutting-edge AI research environment.

You'll own full-cycle recruiting for **software engineering and AI/ML research roles** at an AI-driven science company. Your core impact will be building pipelines and relationships that bring exceptional technical talent to Lila. You'll partner closely with hiring managers to maintain a high bar across critical technical disciplines.

You'll embed with biotech and materials science teams to rapidly build solutions that transform research capabilities using an AI platform. You'll ship production code in days, not months, and scale from proof-of-concept to enterprise-wide deployment.

You'll develop and optimize chemical transformations for **Discovery Chemistry** at Lila Sciences, focusing on rapid **small molecule synthesis** using high-throughput experimentation. You'll help build efficient **automation-ready workflows** that accelerate molecular design-make-test-analyze cycles.

You'll lead the **strategy and operations** of corporate IT infrastructure and the **end-to-end employee computing experience** at a life sciences company. Your work will directly impact employee productivity and business growth through a secure, modern technology environment.

You'll co-develop the scientific direction for a new AI for Cell Biology team, integrating cell-biology research with Lila's **autonomous-science platform**. You'll own the technical architecture for foundation-model and agentic systems that close the loop between AI reasoning and the lab.

You'll contribute to **foundation model research** at the intersection of ML and life sciences, working on generative models for biological sequences and molecular structures. Your work will directly impact **automated scientific discovery** within Lila's closed-loop platform. This role offers the chance to **own research sub-problems end-to-end** and collaborate with experimental scientists.

You'll ideate, prototype, and transfer new experimental concepts for AI Science Factories targeting **soft material systems**. You'll collaborate with chemistry, materials, and AI teams to define new approaches to formulation and performance evaluation. This role combines hands-on science with **software-enabled autonomous research**.

You'll build and lead Lila's global external events function, owning a portfolio of high-impact programs that drive pipeline, relationships, talent, and brand. You'll define the **strategic events roadmap** and ensure each event advances Lila's goals with investors, partners, policymakers, and talent. This role offers the opportunity to shape immersive experiences that bring **AI science** to life for diverse audiences.

You'll define the technical strategy for securing AI tools across Lila's enterprise. As a senior individual contributor, you'll protect sensitive data and scientific workflows from AI-related risks. This role focuses on enterprise AI security, not building AI systems.

You'll build and operate the engineering platform for a new **AI for Cell Biology team**, driving **autonomous-science capabilities** at the intersection of AI and cellular biology. Your work will shape how Lab-in-the-Loop autonomous science scales at the cell and tissue level.

You'll design and scale ML infrastructure for generative models in life science, owning training pipelines, distributed compute, and model deployment. Your work will power automated scientific discovery across **biological sequence design** and **molecular structure prediction**. You'll collaborate with AI scientists and experimental researchers to close the computational-experimental loop.