Lila Sciences jobs

Senior / Principal Scientist, AI for Protein Engineering San Francisco, CA USA Your Impact at LILA Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine. Within Life Sciences AI (LSAI), the AI for Protein Engineering team develops and uses the generative and predictive models that drive Lila's biomolecule design programs from in silico hypothesis to wet-lab validated lead. We are seeking a Senior or Principal Scientist to join this team as a senior IC focused on antibody design and engineering. You will develop and execute the methods and workflows that ensure successful completion of antibody campaigns. Scope may expand to additional modalities such as enzymes and peptides as needs evolve. This role sits at the bilingual edge of ML and biology. You will own biological understanding of campaign needs and partner closely with the Life Science Research team to design and validate computational predictions in the lab. You will shape the technical agenda for AI protein engineering at Lila and represent that work both internally and to the broader research community. What You'll Be Building - Develop and own protein design and engineering workflows for antibody campaigns, including de novo design, affinity maturation, and developability optimization - Execute design workflows end-to-end for active campaigns and deliver wet-lab-validated leads against program milestones - Translate campaign requirements - epitope selection, affinity targets, biophysical constraints, and developability criteria - into well-defined ML problems and design specifications - Adapt and extend state-of-the-art AI methods (generative models,

ML Scientist I / II, Foundation Models for Life Sciences San Francisco, CA USA Your Impact at Lila Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine. Within Life Science AI (LSAI), the Foundation Models team researches and develops large-scale generative models and reasoning frameworks that power automated scientific discovery across Lila's life science domains. We are seeking a Scientist I or II to join this team as a contributor to foundation model research at the intersection of machine learning and life science data. You will work on generative models spanning biological sequences, molecular structures, and multimodal experimental data, contributing to problem formulation, model design, training, evaluation, and integration into Lila's closed-loop discovery engine. This is an IC role for someone building deep expertise in generative AI applied to biology. You will own research sub-problems end to end, collaborate closely with experimental scientists to close the computational-experimental loop, and contribute to Lila's presence in the broader scientific community. What You'll Be Building - Contribute to research on foundation models for life science applications, including biological sequence design, structure prediction, and multimodal scientific reasoning - Design, train, and evaluate generative models on biological and chemical data, incorporating domain-specific constraints and priors - Be part of the end-to-end ML process within Lila's "Lab-in-the-Loop" lifecycle: support data generation strategy, build pipeline models, and help design feedback loops where experimental results improve model performance - Translate biological questions into well-defined ML problems and interpret model outputs

Co-op, LLMs for Decision Making Cambridge, MA USA Your Impact at LILA Lila Sciences builds AI systems that accelerate discovery across the physical and life sciences. Within Physical Sciences AI, our decision making efforts develop the algorithms that drive experimental decision-making, closing the loop between models, experiments, and the next thing to try. We're now exploring how large language models can extend that capability: encoding domain priors, proposing candidates, reasoning over campaign history, and pairing naturally with established algorithms like Bayesian optimization for sample-efficient search. As an LLMs for Decision Making Co-Op, you will work at the intersection of LLMs and Bayesian optimization, prototyping and evaluating 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. What You'll Be Building - Contribute to LLM-based decision-making methods for experimental campaigns, focused on a well-defined sub-problem - Prototype approaches that combine LLM reasoning with Bayesian optimization, active learning, or design of experiments, with mentor guidance - Build evaluation frameworks that benchmark LLM-augmented strategies against established Bayesian baselines - Help integrate promising methods into the decision making stack used across physical sciences campaigns - Document findings and share results through write-ups, presentations, or contributions to internal libraries What You'll Need to Succeed - Pursuing a Master's or PhD in Machine Learning, Computer Science, Statistics, Applied Mathematics, Physics, Chemistry, Materials Science, or a related quantitative field - Strong programming skills in Python and familiarity with ML

Senior / Principal Technical Program Manager, Life Sciences AI Cambridge, MA USA; San Francisco, CA USA Your Impact at LILA Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine. Within Life Science AI (LSAI), Lila develops large-scale generative models and reasoning frameworks - spanning biological sequences, molecular structures, and multimodal experimental data - that power automated scientific discovery and feed Lila's closed-loop "Lab-in-the-Loop" discovery engine. As that work scales, the surface area of cross-functional coordination across model research, evaluation, experimental science, and downstream integration is growing fast. We are looking for a Senior or Principal Technical Program Manager to join our AI Research team and bring structure, accountability, and delivery cadence to Life Sciences AI. You will be the connective tissue between model researchers, computational and wet-lab scientists, automation and software teams, and the broader Lila organization. The successful candidate thrives in ambiguity, communicates exceptionally well across audiences, and knows how to build clarity and momentum on a fast-paced, rapidly scaling team. In addition, you must be genuinely curious about how foundation models for biology drive scientific discovery and able to clearly articulate what each program is trying to deliver. What You'll Be Building - Establish and operate the delivery cadence and rhythm for the Life Sciences AI organization - driving program planning, status, milestone tracking, and risk management across foundation model research, evaluation, and integration with Lila's closed-loop discovery engine. - Serve as the key communication interface between LSAI and partner

Commercial Counsel (Associate Director/Director) Cambridge, MA USA; San Francisco, CA USA Your Impact at LILA As Commercial Counsel (Director/Associate Director) at Lila Sciences, you will be a foundational member of the legal team, responsible for shaping and scaling legal capabilities in a fast-moving, frontier technology environment. This is a dynamic, high-ownership role focused on structuring and negotiating a wide array of commercial agreements, while also advising on legal and regulatory considerations surrounding artificial intelligence, scientific research, and cutting-edge technology development. You'll partner cross-functionally across science, engineering, business development, and operations to enable Lila's mission to accelerate discovery with AI. We're looking for an experienced, entrepreneurial attorney with 6-10 years of legal experience-someone who is excited to work at the intersection of law, AI, and science. You should thrive in environments that demand both precision and creativity, be comfortable navigating ambiguity, and bring a strong sense of judgment and empathy to collaborative problem-solving. If you're passionate about building scalable legal infrastructure, engaging deeply with novel technologies, and evolving the practice of law using AI, this is the role for you. What You'll Be Building - Draft, negotiate, and manage a broad range of commercial agreements (e.g., SaaS, IP licensing, vendor, partnership, and R&D collaboration contracts) - Provide pragmatic legal counsel to internal stakeholders across the business, product, and science functions, balancing legal risk with strategic objectives - Serve as a thought partner on regulatory and ethical considerations related to the use of AI in scientific and commercial contexts - Help build

Senior / Engineer II, AI Lab Research Engineer Cambridge, MA USA; San Francisco, CA USA Your Impact at LILA Lila Sciences is the world's first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method. We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at www.lila.ai At Lila, we are uniquely cross-functional and collaborative. We are actively reimagining the way teams work together and communicate. Therefore, we seek individuals with an inclusive mindset and a diversity of thought. Our teams thrive in unstructured and creative environments. All voices are heard because we know that experience comes in many forms, skills are transferable, and passion goes a long way. If this sounds like an environment you'd love to work in, even if you only have some of the experience listed below, please apply. What You'll Be Building - Agentic AI for science: Systems that perform sequential decision‑making and multi‑step reasoning to solve domain‑specific problems. - Workflow/code generation: From natural language intent to typed, executable steps for lab instruments. - Evaluation & reliability: Benchmarks, test suites, and telemetry to measure capability and quantify progress toward scientific goals. What You'll Need to Succeed - PhD or Masters in a quantitative discipline (e.g.,

Co-Op, Data Extraction Cambridge, MA USA Your Impact at LILA Lila Sciences builds AI systems that accelerate discovery across the physical and life sciences. Within Physical Sciences AI, our team works on turning unstructured scientific knowledge (e.g., literature, patents, technical reports) into structured signals that power downstream Lila applications. As a Data Extraction Co-Op, you will work alongside research scientists and engineers on a focused sub-problem in this stack. You will get hands-on experience fine-tuning and evaluating extraction models, building pipelines for messy real-world data, and shipping work that flows into production systems. What You'll Be Building - Contribute to AI systems that extract and structure knowledge from scientific literature and patents, focused on a well-defined sub-problem - Fine-tune and evaluate language, multimodal, or specialized models for data extraction, with mentor guidance - Build and test pipelines that structure unstructured scientific data across text, tables, and visuals - Run extraction pipelines, analyze results, and document findings clearly - Share your work through a team presentation, write-up, or contribution to a publication or open-source project What You'll Need to Succeed - Pursuing a Bachelor's, Master's, or PhD in Computer Science, Chemistry, Materials Science, or a related field - Solid foundation in machine learning fundamentals and Python - Familiarity with NLP or computer vision concepts - Curiosity about scientific data and willingness to learn quickly in a research setting Bonus Points For - Coursework or projects involving multimodal models or document understanding (OCR, table/figure extraction) - Experience working with messy, real-world datasets

Principal / Sr. Principal BioML Scientist San Francisco, CA USA Your Impact at LILA Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine. Within Life Sciences AI (LSAI), we are standing up a new AI for Cell Biology team to develop autonomous-science capabilities for cellular and tissue biology, spanning single-cell omics, perturbation biology, spatial profiling, imaging, genetics, and multi-modal experimental data. We are seeking a Principal or Sr. Principal BioML Scientist to be a co-architect of how Lila's autonomous-science platform changes cell biology and to own the applied and translational BioML charter that turns those platform capabilities into real-world therapeutic impact. The team's ML lead owns core model strategy and inference architecture; the Engineering lead owns platform infrastructure; this role adds the applied scientific perspective into platform shape: deciding what closed loops are worth running, what kinds of scientific questions become tractable when AI and lab automation co-evolve, and what evidence standard turns a model output into an experimental decision. The platform isn't something this role consumes ; it's something this role helps build , from the applied science side. This role grows and leads the team's applied science footprint : a group of domain-embedded scientists working across disease areas and therapeutic modalities (cell therapy, nucleic-acid delivery, small molecule). The initial applied focus is target identification as the entry point into cell-biology-grounded therapeutic discovery, with the scope broadening over time as the team and the platform mature. This is a senior individual

Materials Technical Program Manager Cambridge, MA USA Your Impact at LILA Lila Sciences is applying its autonomous science platform to some of the hardest materials discovery problems in the world - from next-generation structural materials and extreme-environment coatings to clean energy catalysts and carbon capture. The Materials Science experiment team is running programs where the pace of autonomous experimentation demands real operational rigor, and we're looking for a Technical Program Manager to provide it. You'll work closely with the Materials Science domain leads who set scientific strategy and direction, while you own the execution layer: the project plans, the cross-functional dependencies, and the blockers that need to be surfaced and resolved before they become problems. You won't be directing scientific work - you'll be creating the conditions for it to happen at speed and at scale. This is a role for someone who genuinely loves the craft of program management in complex, technical environments. What You'll Be Building - Own day-to-day program execution within the Materials Science experiment team - maintaining project plans, tracking milestones, and ensuring agentic science programs are delivered on time and with rigor - Serve as the primary operational interface between the Materials Science team and platform partners (Automation, ML, Engineering) - communicating needs, aligning on priorities, and keeping dependencies visible and resolved - Translate scientific program goals into structured workstreams that enable autonomous experimentation to run efficiently and at scale - Run program rituals including sprint planning, stand-ups, and retrospectives with a bias toward purposeful

Director of Product, Life Sciences Cambridge, MA USA Your Impact at LILA Lila Sciences is looking for a Director of Product, Life Sciences strategic and visionary product leader who will shape the future of our therapeutic research and development capabilities. Reporting to the Vice President, Life Science Product, you will lead the strategy, roadmap, and execution for products and platforms at the intersection of drug discovery, chemical synthesis, and scientific intelligence. What You'll Be Building - Drive the strategic direction for turning our AI capabilities toward breakthrough solutions in drug discovery, chemical synthesis, and molecular characterization - Translate strategic objectives into target product profiles (TPPs) and development campaigns that guide science and engineering teams and enable breakthrough innovations in life sciences - Lead customer and internal-user discovery, serving as the technical link to external customers and partners in the life sciences - Identify and shape product opportunities grounded in real-world discovery challenges, partnering closely with collaborators, customers, and strategic partners to ensure relevance and downstream value - Translate insights into clear product requirements, acceptance criteria, and experiment plans that guide engineering and science teams - Drive product execution from concept to launch while leading cross-functional teams across science, machine learning, automation, and software engineering - Manage resource allocations (budget, compute, lab access, people) and decisions against a complex set of priorities (e.g., focus of experiments between AI model training and near-term partnership requests) - Define clear success metrics and milestones, and clearly communicate progress against them to the company, including

Director / Senior Director, Tax Cambridge, MA USA Your Impact at LILA LILA Sciences is seeking a Tax Director (or Senior Director, depending on experience) to build and lead our tax function. As a foundational hire - the first dedicated tax leader at LILA - you will establish our tax strategy, infrastructure, and ongoing compliance across federal, state, local, and international jurisdictions. You will work hand-in-hand with Finance, Legal, and the executive team to ensure our tax position is optimized, compliant, and aligned with our long-term goals. This is a high-impact, high-ownership role where you'll have the opportunity to shape the function from the ground up while contributing to the company's strategic direction. What You'll Be Building - Own end-to-end U.S. and international tax compliance and reporting - federal, state, local, income, sales & use, and R&D credits - and manage all related filings. - Develop and execute LILA's tax planning strategy, optimizing the effective tax rate (ETR) while supporting the company's growth, capital structure, and strategic initiatives. - Lead all aspects of ASC 740 income tax accounting - provisions, deferred tax, and uncertain tax positions - and manage relationships with external tax advisors and auditors. - Partner with Finance, Accounting, and Legal on the tax implications of M&A, equity rounds, equity compensation, intercompany transactions, and major vendor agreements. - Build scalable tax infrastructure (systems, controls, documentation, advisor network) and advise on international tax matters including transfer pricing, GILTI, and FDII. - Monitor legislative and regulatory developments and serve as

Senior / Lead Technical Recruiter San Francisco, CA USA Your Impact at LILA Lila is building at the frontier of AI-driven science, and the quality of our team is the most important variable in our success. As a Senior/Lead Technical Recruiter, you will own full-cycle recruiting for our engineering and AI/ML research roles, building the pipelines and relationships that bring exceptional technical talent to Lila. You will partner closely with hiring managers and the broader Talent Acquisition team to maintain a high bar across our most critical technical disciplines. The right person is deeply curious about highly technical fields, well-networked in engineering and AI/ML talent communities, and committed to delivering a rigorous, high-touch candidate experience. You operate with strong ownership and are motivated by the craft of finding and closing exceptional people. What You'll Be Building - Own full-cycle recruiting for software engineering and AI/ML research roles, from intake through close - Build and maintain a high-quality pipeline of technical talent through proactive sourcing across a range of channels, including professional networks, technical communities, and direct outreach - Partner with hiring managers to design effective interview processes and develop role-specific sourcing and closing strategies - Develop compelling narratives for technical audiences - communicating why Lila, why now, and why this role - and refine messaging based on market feedback - Contribute to the development and adoption of AI-powered recruiting tools and sourcing methodologies that raise the team's overall effectiveness - Maintain operational rigor across pipeline tracking, stage hygiene, candidate communications,

Co-op, Machine Learning for Digital Twins Cambridge, MA USA Your Impact at LILA Lila Sciences builds AI systems that accelerate discovery across the physical and life sciences. Within Physical Sciences AI, our team partners with the diverse experimental groups to build digital twins of experimental campaigns, focusing on calibrated, uncertainty-aware models that enable higher-throughput, higher-quality use of Lila's AI Science Facilities (AISF). As an ML for Digital Twins Co-Op, you will work on building, training, and evaluating ML models for physical and experimental systems. You will get hands-on experience with operator learning, surrogate modeling, and uncertainty quantification, shipping work that directly informs how next-generation AISF experiments are designed and run. What You'll Be Building - Contribute to ML models for scientific and experimental systems, focused on a well-defined digital twin sub-problem - Build and train surrogate, operator-learning, or physics-informed models against experimental and simulation data, with mentor guidance - Calibrate models, quantify uncertainty, and validate against data flowing from active AISF experimental campaigns - Frame open-ended scientific questions as concrete ML tasks with clear datasets, baselines, and evaluation criteria - Document findings and share results in cross-departmental collaboration through write-ups and presentations What You'll Need to Succeed - Pursuing a Master's or PhD in Machine Learning, Computer Science, Applied Mathematics, Physics, Materials Science, Chemical Engineering, Mechanical Engineering, Electrical Engineering, or a related quantitative field (PhD preferred) - Strong programming skills in Python and hands-on experience with ML frameworks such as PyTorch, JAX, TensorFlow, or similar - Experience applying machine learning

Staff Software Engineer, Lab Software Cambridge, MA USA Your Impact at LILA Join us in shaping the future of science! We are seeking Staff Software Engineers with backend experience to join our Lab Software Team (LaS), where you'll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want to hear from you! About The Team The Lab as Software Team (LaS) acts as the physical and virtual execution layer for Lila's AI-driven science. This connects the Lila App to AI Science Factories (AISFs), the mechanism through which experiments are dispatched to real instruments. This team owns the full stack of lab integration: orchestration of labflows, instrument integrations, bi-directional data transfer, and the UI/UX that AI scientists and operators use to interact with the lab. What You'll Be Building - Design & Build UI and APIs: Design and build high-performance, secure, and well-documented UI and APIs that integrate with AI-driven applications. - Database Architecture & Scaling: Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability. - Application Development: Drive the implementation of front-end and backend services, focusing on performance, maintainability, and reliability. - Performance & Reliability: Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads. - Cloud & Infrastructure: Leverage AWS services, Kubernetes and modern DevOps

Senior Research Associate/Associate Scientist, Platform Scientist Cambridge, MA USA Your Impact at LILA As a Senior Research Associate / Scientist on the Platform Science team within Lila's Autonomous Science Platform, your work will directly contribute to building Lila's next-generation, AI-driven research capabilities. You will have the opportunity to pioneer novel automated instruments centered around advanced processing and characterization of solid state materials - at the critical intersection of hardware, software, and scientific inquiry. This role is a unique blend of hands-on engineering and scientific investigation, where you will prototype, automate, and validate the platforms that will define the lab of the future. You will operate across a broad set of disciplines, working closely with the vacuum synthesis, platform science, and characterization teams to build tools that dramatically accelerate the pace of scientific discovery and support active research campaigns across multiple initiatives. What You'll Be Building - Design, construct, and integrate novel automated experimental platforms with a material emphasis on solid state synthesis and novel processing methods, working in close collaboration with the vacuum synthesis, platform, and characterization teams to align on system requirements and share technical knowledge. - Work hands-on to integrate hardware components, including optics, robotics, and sensors, into a cohesive, automated workflow. - Develop end-to-end software stacks from instrument control to data stewardship and integration with downstream models. - Analyze instrument data to validate system performance, troubleshoot issues, and support research initiatives designed to establish and expand the capabilities of new platforms. - Collect, document, and interpret experimental

Senior Software Engineer, Lab Software Cambridge, MA USA Your Impact at LILA Join us in shaping the future of science! We are seeking Senior Software Engineers with backend experience to join our Lab Software Team (LaS), where you'll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want to hear from you! About The Team The Lab as Software Team (LaS) acts as the physical and virtual execution layer for Lila's AI-driven science. This connects the Lila App to AI Science Factories (AISFs), the mechanism through which experiments are dispatched to real instruments. This team owns the full stack of lab integration: orchestration of labflows, instrument integrations, bi-directional data transfer, and the UI/UX that AI scientists and operators use to interact with the lab. What You'll Be Building - Design & Build UI and APIs: Design and build high-performance, secure, and well-documented UI and APIs that integrate with AI-driven applications. - Database Architecture & Scaling: Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability. - Application Development: Drive the implementation of front-end and backend services, focusing on performance, maintainability, and reliability. - Performance & Reliability: Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads. - Cloud & Infrastructure: Leverage AWS services, Kubernetes and modern DevOps

Software Engineer II, Lab Software Cambridge, MA USA Your Impact at LILA Join us in shaping the future of science! We are seeking a Software Engineer II with backend experience to join our Lab Software Team (LaS), where you'll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want to hear from you! About The Team The Lab as Software Team (LaS) acts as the physical and virtual execution layer for Lila's AI-driven science. This connects the Lila App to AI Science Factories (AISFs), the mechanism through which experiments are dispatched to real instruments. This team owns the full stack of lab integration: orchestration of labflows, instrument integrations, bi-directional data transfer, and the UI/UX that AI scientists and operators use to interact with the lab. What You'll Be Building - Design & Build UI and APIs: Design and build high-performance, secure, and well-documented UI and APIs that integrate with AI-driven applications. - Database Architecture & Scaling: Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability. - Application Development: Drive the implementation of front-end and backend services, focusing on performance, maintainability, and reliability. - Performance & Reliability: Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads. - Cloud & Infrastructure: Leverage AWS services, Kubernetes and modern

Scientist/Sr. Scientist, AI Safety Cambridge, MA USA; London, UK; San Francisco, CA USA Your Impact at LILA We're building a talent-dense, high-agency AI safety team at Lila that will engage all core teams within the organization (science, model training, lab integration, etc.), to prepare for risks from scientific superintelligence. The initial focus of this team will be to build and implement a bespoke safety strategy for Lila, tailored to its specific goals and deployment strategies. This will involve technical safety strategy development, broader ecosystem engagement, as well as developing technical collateral including risk- and capability-focused evaluations and safeguards. What You'll Be Building - Evaluations to test for scientific risks (both known but especially novel) from cutting edge scientific models integrated with automated physical labs - Initial proof-of-concept safeguards, such as ML models to detect and block unsafe behavior from scientific AI models, as well as from physical lab outputs. - Understanding of a range of model capabilities, across primarily scientific but also non-scientific domains (e.g. persuasion, deception) to inform Lila's broader safety strategy. - Broader, high-quality research efforts - as and when needed - for scientific capability evaluation and restriction. What You'll Need to Succeed - Bachelor's degree in a technical field (e.g., computer science, engineering, machine learning, mathematics, physics, statistics), or related experience. - Strong programming skills in Python, and experience with ML frameworks (including, for instance, Inspect) for large-scale evaluation and scaffolded testing. - Experience in building evaluations, or conducting red-teaming exercises, for CBRN / cyber risks (or

Director / Senior Director, Talent Acquisition Cambridge, MA USA Your Impact at LILA Lila is building at the frontier of AI-driven science, and the quality of our team is the most important variable in our success. As Director of Talent Acquisition, you will lead a team of recruiters, sourcers, and TA Operations professionals maintaining a critically high talent bar across AI, Software, and Scientific hiring. You will set the strategic direction for how Lila finds, attracts, and closes exceptional talent in some of the most competitive markets in the world, designing interview processes, developing bespoke sourcing strategies, and building the metrics infrastructure to track what's working. You will also coach and mentor your team, raising the overall craft of the function. The right person is deeply curious about highly technical disciplines, well-networked across AI, Software, and Science talent communities, and driven to multiply the brilliance and culture of the company with every hire. You operate with high autonomy and are motivated by building a talent function that is itself a competitive advantage. What You'll Be Building - Lead and develop a team of recruiters, sourcers, and TA Operations professionals, setting high standards for performance, craft, and candidate experience - Own full-cycle recruiting strategy across the entire company, scaling the organization across multiple technical disciplines, functions, and geographies - Design and continuously improve interview processes, sourcing strategies, and closing approaches for highly technical and competitive roles - Build and deploy AI-powered tools and custom sourcing methodologies that raise the ceiling on

Project Manager, Facilities Management Cambridge, MA USA Your Impact at LILA Lila Sciences is expanding its physical footprint and upgrading the facilities that power its research. As Project Manager on the Facilities Management team, you will own the end-to-end delivery of capital projects - from lab buildouts and HVAC upgrades to new site development - that directly enable Lila's scientific operations. Reporting to the Director of Capital Projects, you will manage the full project lifecycle: scoping, planning, budgeting, vendor and contractor management, permitting, and closeout. You will partner closely with scientific, operations, engineering, and EHS teams to ensure projects are delivered safely, on time, and within budget. This role sits at the intersection of construction execution and scientific infrastructure. You will bring order and accountability to complex, multi-stakeholder projects in a fast-moving environment where the quality of the facilities directly affects the quality of the science. What You'll Be Building - Lead end-to-end delivery of capital projects - including lab buildouts, renovations, HVAC/MEP upgrades, and new site development - from scoping through closeout - Develop and maintain project plans, schedules, budgets, and risk registers; identify and resolve issues before they affect cost or timeline - Manage vendors, architects, and general contractors; hold external partners accountable for quality, safety, and on-schedule delivery - Partner with scientific, operations, engineering, and EHS teams to align project scope with research and operational requirements - Own permitting, inspections, and regulatory compliance across all active projects; ensure adherence to applicable safety standards and building codes -

Director, Sustaining Engineering & Lab Operations Cambridge, MA USA Your Impact at LILA Lila is building AI Science Factories (AISFs) - highly automated, AI-directed labs that generate the proprietary experimental data powering our AI platform. As we scale from one AISF to many, the operational infrastructure that keeps those factories running is a first-class strategic capability. The Director of Sustaining Engineering & LabOps owns that execution layer: fleet reliability, incident response, AISF health, root cause analysis, site-level continuous improvement, and the execution of platform releases and change control at the site - alongside the operational foundation that makes it possible (consumables, reagents, CMMS, asset management, PM, first-response maintenance, multi-shift logistics). This role will build out Lila's Local Site Sustaining Engineering capability from the ground up, incorporating Maintenance Engineering (ME) as a sub-function. It reports solid-line to the VP, ASP Strategy and Operations with a dotted line to the Director of Sustaining Engineering (Global / Cambridge Core Engineering) for platform standards, change control, and equivalence evidence. The function executes within centrally defined platform constraints and feeds structured signal back to Global Engineering through the operating cadences defined in the ASP Engineering operating model. You'll define the operating model, lead its expansion to new sites, drive AI-enabled innovation in equipment health and lab operations, and author the standards that travel with every AISF we open. You'll be a principal contributor to the Blueprint program - the global deployment framework defining how Lila builds and runs AISFs at scale. What You'll Be Building

Enterprise Account Lead, Life Sciences Cambridge, MA USA Your Impact at LILA We are seeking an Enterprise Account Lead, Life Sciences to define how top 20 pharma and leading biotech companies engage with the world's first platform for scientific superintelligence. You'll be a foundational member of the team responsible for building and scaling our enterprise sales organization and driving deal execution for Lila's AI-driven drug discovery and life sciences platform. As a revenue-focused individual contributor, you'll own and grow a portion of our life sciences revenue pipeline, working across technical product, science, GTM, software, robotics, and Physical AI teams to translate our closed-loop AI and autonomous lab capabilities into signed enterprise contracts across target discovery, small molecule, and biologics. You'll lead deep, multi-stakeholder engagements with a portfolio of top 20 pharma accounts, and in parallel, open new doors across the biotech ecosystem to build a repeatable mid-market motion. The role demands technical depth, business acumen, an entrepreneurial mindset, and customer-centricity, and it is intentionally shaped to grow with the person who takes it on. In year one, you will work across product and customer strategy, customer technical discovery, sales process design, and account leadership in one of the most technically demanding verticals in enterprise software. What You'll Be Building - Build and grow a qualified pipeline against clear revenue targets, from lead generation through close, with accurate forecasts and deal records. - Lead complex, multi-quarter sales cycles across discovery, translational, platform, data/AI, BD/licensing, and business stakeholders at top 20 pharma

Co-Op, AI Security Cambridge, MA USA Your Impact at LILA Lila Sciences is building the world's first scientific super intelligence platform. As AI agents and automated systems handle more of the research and operations workload, securing them has become a core focus for the IT & Security team. This Co-Op role focuses on the AI side of that work. You will join the IT & Security team and contribute to projects that evaluate, harden, and monitor the AI tools, agents, and automation pipelines Lila depends on. Expect exposure to areas most academic programs don't cover yet: agent governance, prompt-level threats, model deployment risks, and AI-driven security automation. The role is structured for someone curious, technical, and looking to build applied experience. You will own specific projects, work alongside security engineers, and finish the term with hands-on work in a domain that is still being defined. What You'll Be Building - Assist in identifying and analyzing AI/ML security vulnerabilities, including prompt injection attacks, model poisoning, and data poisoning risks - Participate in threat modeling exercises for AI systems and recommend security mitigations - Review and test AI/ML application code and configurations for security issues - Research emerging AI security threats and compile findings into technical documentation - Develop and run security tests and proof-of-concepts for AI model robustness - Collaborate with cross-functional teams including ML engineers, product managers, and security architects What You'll Need to Succeed - Currently enrolled in a Computer Science, Cybersecurity, Information Security, or related program. - Foundational

Director, Nucleic Acid Delivery Cambridge, MA USA Your Impact at LILA The Director of Nucleic Acid Delivery will lead the discovery and engineering of next-generation delivery systems for nucleic acid cargo. This role will drive the design of targeted lipid nanoparticles (tLNPs) and other biological delivery modalities to enable precise delivery of nucleic acids across diverse tissues and cell types. Leveraging the Lila Sciences AI platform and AI Science Factory , this leader will guide an interdisciplinary team of scientists in integrating AI-driven hypothesis generation, robotics-enabled experimentation, and biological insight to accelerate discovery of transformative delivery technologies. The role will focus on the biological targeting and functional delivery, while collaborating closely with formulation scientists responsible for lipid composition and formulation optimization. This position is ideal for a creative scientific leader who believes that AI, automation, and integrated biological systems thinking will fundamentally reshape therapeutic discovery. The successful candidate will bring deep expertise in nucleic acid delivery and a passion for building collaborative teams. What You'll Be Building - Lead and build a high-performing team of senior scientists, scientists, and research associates focused on nucleic acid delivery technology development. - Drive the discovery and engineering of targeted lipid nanoparticle systems for delivery of nucleic acid therapeutics. - Design and evaluate targeting ligands, conjugation strategies, and nanoparticle architectures that enable tissue- and cell-specific delivery. - Develop and implement innovative biological assays and screening platforms to evaluate delivery efficiency, biodistribution, cellular uptake, and functional nucleic acid expression or editing. - Leverage the Lila