Lila Sciences jobs

Director, Federal Strategy and Capture, Government Partnerships Cambridge, MA USA Your Impact at LILA Lila Sciences is looking for a Director of Federal Strategy & Capture to convert senior agency relationships and deep policy fluency into real government partnerships and funding wins. This role sits within our Government Partnerships organization and operates at the front end of capture - shaping the competitive environment before opportunities are formally announced, reading where the federal funding landscape is heading, and opening doors that demand genuine scientific and policy credibility. This is not a policy role. It's a capture role that requires someone with unusually deep federal experience. What You'll Be Building Named Account Ownership - Build, manage, and advance senior relationships at DOE, ARPA-E, NIH, and adjacent US mission agencies. You own the health, depth, and trajectory of those relationships over time. Opportunity Shaping - Engage agencies early enough to influence how funding opportunities are scoped and structured before they become RFPs, ensuring alignment with Lila's strategic roadmap. Cross-Agency Narrative Development - Partner with the Head of Government Partnerships to connect Lila's portfolio to national science priorities and build a prioritized federal pipeline. Institution Building - Help stand up Lila's federal capture function, including how we track relationships, manage pipeline, and engage agencies systematically over time. What You'll Need to Succeed - Senior US federal experience at the intersection of science, policy, and strategy - agency, NSC, interagency, or equivalent background - Scientific fluency in life sciences, biotechnology, or adjacent domains - A

Research Scientist, Dexterous Manipulation & Robot Learning Cambridge, MA USA Your Impact at LILA As a Robotics Scientist at Lila, you will lead the research and development of autonomous robotic systems that serve as the intelligent physical infrastructure of our scientific superintelligence platform. You'll develop novel algorithms and deploy intelligent robotic solutions that interact seamlessly with human scientists and complex lab environments. Your work will accelerate our mission by enabling fully autonomous workflows for scientific discovery, combining cutting-edge robotics, machine learning, and systems engineering. What You'll Be Building - Pioneering approaches for precise and dexterous robotic manipulation that leverage foundation models, reinforcement learning, diffusion-based methods, and human guidance to enable adaptive and intelligent robotic systems capable of complex tasks across diverse scientific environments - Developing novel human-robot interaction frameworks that incorporate imitation learning, and learning from human guidance, feedback, demonstrations and corrections, creating intelligent robotic agents that can seamlessly integrate with human scientific workflows and rapidly adapt to new experimental contexts - Advancing dexterous manipulation research through cutting-edge machine learning approaches, including diffusion models and adaptive learning algorithms, that synthesize multi-modal sensing (tactile, visual, and language) to develop generative skill representation sand sophisticated motor learning policies for intelligent robotic systems - Designing autonomous robotic systems with trust calibration mechanisms, enabling intelligent agents that can dynamically adjust their behaviors based on contextual information in complex scientific tasks What You'll Need to Succeed - Ph.D. in Robotics, Machine Learning, Computer Science, or a related field with demonstrated expertise in foundation models for

Staff Forward Deployed Engineer, Life Sciences Cambridge, MA USA Your Impact at LILA We're seeking extraordinarily talented Forward Deployed Engineers across Engineer, Senior Engineer, and Lead Engineer levels to join our growing team. Our FDEs are high-performing generalists with a broad set of skills, in addition to depth in one or more focus areas. As an FDE, you'll embed directly with our internal biotech and science teams as well as external customers, living their problems and rapidly building solutions that transform their research capabilities. You'll leverage our AI and software platform tools while developing bespoke features that address each customer's unique challenges. This isn't traditional software development-it's high-velocity, AI-fueled, high-impact engineering where you'll ship production code in days, not months. What You'll Be Building - Developing, wrapping, and adapting domain-specific tools for molecular modeling, data analysis, process optimization, molecular modeling, and more - Deploying custom, agentic scientific workflows that integrate with industrial instruments (PLCs, control software) and data systems (ERP, MES, SCADA) - Building real-time data pipelines that transform messy scientific data into actionable insights - Creating intuitive interfaces that make complex AI/ML capabilities accessible to scientists - Architecting solutions that scale from proof-of-concept to enterprise-wide deployment What You'll Need to Succeed - Background in biology, molecular science, or related scientific field - Outstanding communication skills-you'll interface directly with both executives and the manufacturing line - Experience with data engineering, ETL pipelines, and working with complex/messy datasets - Strong full-stack development skills with the ability to work across backend, frontend,

Manager / Senior Manager, Product Marketing, Life Science Cambridge, MA USA Your Impact at LILA We are seeking a strategic Product Marketing Manager (Life Science) to own go-to-market for Lila's life science product portfolio. You'll translate complex, closed-loop AI and lab capabilities-such as mRNA design, DNA construct optimization, and AI-driven medicinal chemistry-into clear, credible stories and compelling commercial offerings for: - Biopharma and advanced therapy companies - R&D and CMC leaders - Data science / AI teams and scientific IT In collaboration with the Life Science Product team, you will shape RNA and DNA design technology tiles, hit-to-lead and lead optimization offerings, and early commercial pilots. Your work will define positioning, launch plans, and evidence strategies that move prospects from curiosity to committed programs. You'll articulate value, build differentiated narratives, and enable cross-functional execution across product, sales, and customer success to accelerate adoption and drive measurable business impact. What You'll Be Building Messaging & Positioning - Define and continuously refine product narratives for Lila's life science capabilities (RNA/mRNA design, DNA constructs, protein and small molecule optimization, AISF-powered workflows). - Tailor messaging to specific personas (Heads of R&D, Therapeutic Area leaders, CMC, translational and bioinformatics leads, Scientific IT) and use cases (hit-to-lead, mRNA design, in vivo CAR-T data stories). - Ensure all external materials reflect Lila's master narrative on scientific superintelligence, safety, and multi-domain learning. Go-To-Market Strategy & Launch - Lead end-to-end GTM for new life science capabilities: from beta/pilot framing through general availability and expansion. - Partner with Product, Commercial,

Staff Engineer, Data Platform Cambridge, MA USA; San Francisco, CA USA Your Impact at LILA Lila Sciences is building the software platform that makes automated scientific discovery possible. At the heart of that platform is data: raw outputs from laboratory instruments, experimental model results, curated public datasets, and the scientific literature that contextualizes all of it. The data platform team is responsible for the infrastructure that moves, stores, transforms, and surfaces this data across the organization. We are looking for a Staff Engineer to set the technical direction for our core data infrastructure: ingestion frameworks, storage architecture, orchestration patterns, and the interfaces that let scientists and ML researchers work with data reliably at scale. You will work closely with software engineers, machine learning researchers, and lab scientists to understand requirements and translate them into durable platform capabilities. This is a role for engineers who care deeply about how data systems are designed. You will establish the architectural patterns and engineering standards the broader team builds on, mentor engineers across the data platform group, and make technical decisions that compound over time. What You'll Be Building - Data Platform Architecture: Design and evolve the core data infrastructure that ingests, stores, and serves data across scientific and ML workflows. Make principled build-vs-buy decisions and establish architectural patterns adopted by the broader engineering organization. - Ingestion and Integration: Build reliable pipelines that bring in data from diverse sources: laboratory instruments, public scientific datasets, and external research literature. Own the interfaces between upstream producers

Scientist I/II, mRNA Translation Dynamics Cambridge, MA USA Your Impact at LILA We are seeking a curious, driven, and collaborative Scientist to join our discovery platform team focused on decoding mRNA translation dynamics. You will develop workflows that utilize next-generation pooled screening strategies like polysome profiling and Ribo-seq to to generate rich biological datasets that feed directly into Lila's machine learning models. This is a unique opportunity to help invent a new approach to biological discovery by integrating synthetic biology, high-throughput experimentation, and intelligent automation. What You'll Be Building - Design and execute high-throughput pooled screening campaigns to interrogate mRNA translation dynamics across diverse sequence and structural contexts - Develop and optimize cell-free and in-cell assay systems for quantitative measurement of translation efficiency, kinetics, and regulation across different cell environments - Collaborate closely with computational and ML teams to define data requirements, validate model predictions, and close the loop between experiment and prediction - Establish and refine next-generation library design strategies, leveraging combinatorial and rational approaches to explore sequence space efficiently - Analyze and interpret complex biological datasets, distilling key findings into actionable insights for platform advancement - Contribute to the development of automated and semi-automated experimental pipelines to increase throughput and consistency What You'll Need to Succeed - MSc with 4+ years of industry or academic experience, or PhD in a relevant field (molecular biology, bioengineering, synthetic biology, chemical biology, etc.) - Deep expertise in mRNA biology and translation regulation - Experience with next-generation sequencing based assays of mRNA

Scientist, Epitaxial Thin Film Synthesis Cambridge, MA USA Your Impact at LILA As an epitaxial thin film scientist on the Materials Science team at Lila Sciences, you will serve as the lead for synthesis of high-quality epitaxial thin films, contributing to the discovery of novel quantum materials with emergent electronic and magnetic properties. Your domain expertise at the intersection of materials growth, structural characterization, and electronic transport will translate into the method design and automated workflow to enable high throughput experimentation that Lila's autonomous science platform learns from. This work contributes to Lila's materials science programs focused on the predictive design of novel material families and compounds with novel functional properties. You will design growth and characterization protocols that shape how the platform interrogates new material systems, and your experimental outputs feed directly into the next round of campaigns. You will partner with experimentalists, systems engineers, and machine learning scientists, providing the functional-properties knowledge that keeps closed-loop campaigns scientifically grounded and accelerating toward next-generation materials systems. What You'll Be Building - Grow single-crystal epitaxial thin films and heterostructures using epitaxial deposition methods (sputtering, pulsed-laser deposition, molecular beam epitaxy). - Optimize deposition conditions (substrate temperature, flux ratios, growth rate) to achieve atomically sharp interfaces and target crystal phases. - Analyze XRD and AFM data. - Design, fabricate, and measure electronic transport devices, including temperature-dependent resistivity, Hall effect, and magnetoresistance. - Analyze magneto-transport data to extract physical parameters and identify emergent ground states. - Maintain deposition and characterization equipment; troubleshoot hardware and

Research Scientist, Frontier Capabilities Cambridge, MA USA; San Francisco, CA USA Your impact at LILA We're building a talent-dense, high-agency research team to develop the next generation of learning systems and reasoning algorithms for agentic LLMs. Our work sits at the intersection of large language models, post-training, and scientific reasoning, with the goal of enabling systems that learn from experience, reason effectively, and improve through interaction . Scientific domains present a distinct set of challenges that make this problem uniquely hard. Feedback is sparse and delayed - experiments take days or weeks, not milliseconds. Ground truth is expensive or contested. Distribution shift is structural, as instruments, techniques, and knowledge bases evolve continuously. The hypothesis space is vast and reward signal is thin. Existing benchmark do not capture these nuances. The goal is to build systems that can operate effectively in this scientific regime. This role spans a few complementary directions. Candidates are expected to bring deep expertise in one (ore more) of the following areas. In the event of cross-track expertise, please select the one you align to the most. Our interview process will be catered to verifying the chosen expertise area. Expertise Area 1 - Agentic system building Focus: Build systems that autonomously propose, execute, and verify scientific hypotheses over long time horizons. - Create and analyze long-running auto-research systems that propose and verify hypotheses - Design planning frameworks for agentic systems operating over long, sparse feedback loops - Design memory architectures that allow agents to build and retrieve

Associate / Engineer I, ResOps, Synthesis Cambridge, MA USA Your Impact at LILA We are seeking a motivated and detail-oriented Associate Engineer to join our high-throughput Research Operations team. In this role, you will focus on hands on materials synthesis of various powders and porous medias as well as characterization of materials using spectroscopy and microscopy techniques. You will gain hands-on experience with state-of-the-art automation technologies while contributing directly to projects that drive our company's growth. This is an excellent opportunity for candidates excited to learn engineering principles, work with advanced laboratory automation, and develop a strong foundation in scientific operations in a dynamic, shift-based environment. What You'll Be Building - Perform materials synthesis for materials including zeolites, MOFS, coolants, quantum dots, and lipid nanoparticles - Prepare reagents, solutions/electrolytes , samples, and consumables to ensure seamless continuation of experiments across shifts - Follow detailed standard operating procedures (SOPs) to ensure accuracy, reproducibility, and throughput - Monitor workflow performance, troubleshoot common issues, and escalate when necessary to ensure continuity between shifts - Record, organize, and maintain experimental data with high attention to detail - Identify opportunities to improve efficiency and streamline processes across shift operations - Flag unusual features or results for scientist review - Collaborate with scientists and engineers to support diverse projects across life sciences and physical sciences What You'll Need to Succeed - Bachelor's degree in Chemistry, Physics, Chemical/Materials Engineering, or a related field (or equivalent laboratory experience) - Attention to detail and strong organizational skills - 1

Senior Software Engineer, Scientific System of Record Cambridge, MA USA; San Francisco, CA USA Your Impact at LILA Join us in shaping the future of science! We are seeking Senior Software Engineers with full stack experience to join our Scientific System of Record Team (SSR), 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 Scientific System of Record Team (SSR) builds the memory layer for Lila's operations. It answers two questions: what did we plan to build? and what actually happened? These systems connect scientific intent to physical reality. Together with the data and automation teams, their systems ensure reproducibility and close the Design-Build-Test-Learn (DBTL) loop. What You'll Be Building - Lab Execution and Scientific Workflows: Build systems that model scientific intent, experiment planning, protocol execution, sample and asset state, operational events, and results capture across complex lab workflows. - User Interfaces and APIs: Design and implement high-quality, secure, and well-documented UIs and APIs that support scientists, automation systems, ML workflows, and AI-driven applications. - Application Development: Build front-end and backend services with a focus on performance, maintainability, and reliability. - Data and System Modeling: Develop domain models, schemas, indexes, and data contracts across SQL, NoSQL, vector databases, data lakehouses, and other scientific data systems. - Reliability, Performance,

Scientist II, Mechanics & Extreme Materials Cambridge, MA USA Your Impact at LILA As a Scientist II, Mechanics & Extreme Materials on the Materials Science team at Lila Sciences, you will be the technical expert driving closed-loop learning for extreme materials. Your domain depth in coatings and metal alloys, durability testing, and microstructural analysis will directly shape the experimental methods and automated workflows that power Lila's autonomous science platform. This role sits at the center of Lila's extreme materials program focused on the predictive design of hard, wear-resistant, and corrosion-resistant coatings for aerospace, defense, and industrial applications. You will define how the platform interrogates the performance of new alloy and coating systems, what data it generates, and how those outputs feed back into the next experimental cycle. You will work alongside experimentalists, systems engineers, and machine learning scientists, providing the mechanical and metallurgical judgement that keeps closed-loop campaigns scientifically rigorous and accelerating toward next-generation coating and extreme material solutions. What You'll Be Building - Work with Program Lead to drive the strategy for closed-loop campaigns on anti-wear and anti-corrosion materials. - Develop, execute and optimize characterization and testing workflows for extreme environment materials, including coatings and bulk materials. Focus areas include: microstructural, mechanical, and tribological analysis for process-structure-property relationships. - Collaborate with experimentalists, systems engineers, and ML scientists to integrate characterization outputs into autonomous closed-loop workflows and ML training datasets. - Lead experimental design and analysis to extract key materials properties and performance parameters for ML training. - Troubleshoot characterization

Staff Forward Deployed Engineer, Physical Sciences (Level Flexible) Cambridge, MA USA Your Impact at LILA We're seeking extraordinarily talented Forward Deployed Engineers across Engineer, Senior Engineer, and Lead Engineer levels to join our growing team. Our FDEs are high-performing generalists with a broad set of skills, in addition to depth in one or more focus areas. This FDE, Physical Sciences role requires experience in chemistry and materials science in an industrial manufacturing setting. As an FDE, you'll embed directly with our internal biotech and materials science teams as well as external customers, living their problems and rapidly building solutions that transform their research capabilities. You'll leverage our AI and software platform tools while developing bespoke features that address each customer's unique challenges. This isn't traditional software development-it's high-velocity, AI-fueled, high-impact engineering where you'll ship production code in days, not months. What You'll Be Building - Developing, wrapping, and adapting domain-specific tools for data analysis, process optimization, molecular modeling, and more - Deploying custom, agentic scientific workflows that integrate with industrial instruments (PLCs, control software) and data systems (ERP, MES, SCADA) - Building real-time data pipelines that transform messy scientific data into actionable insights - Creating intuitive interfaces that make complex AI/ML capabilities accessible to scientists - Architecting solutions that scale from proof-of-concept to enterprise-wide deployment What You'll Need to Succeed - Domain expertise in chemistry, materials science, or related field - Outstanding communication skills-you'll interface directly with both executives and the manufacturing line - Experience with data engineering, ETL pipelines,

Senior Software Engineer, Data Cambridge, MA USA; San Francisco, CA 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 Data Platform Team (Data), 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 Data Platform Team (Data) builds and support the data systems that underpins Lila's AI Science Factory™. Every experiment run in our labs, every measurement from an instrument, and every signal from our operational systems flows through the platform they build. Their work spans real-time ingestion, large-scale analytical storage, workflow orchestration, and the self-service tools scientists, engineers, and ML teams use to go from raw measurements to discoveries. They build the data backbone of Scientific Superintelligence™, so the science moves faster and each experiment makes the next one smarter. What You'll Be Building - Design & Build APIs: Design and build high-performance, secure, and well-documented 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. - 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

Analyst / Senior Analyst, Corporate Strategy Cambridge, MA USA Your Impact at LILA The Analyst, Corporate Strategy sits at the center of how Lila Sciences thinks about its future. This is a high-visibility, high-impact individual contributor role within the Strategy and Corporate Development function. The team is small, senior, and fast-moving. You will support the full range of the function's work: corporate strategy development, competitive intelligence, M&A and corporate development, enterprise and strategic planning, and OKR-linked incentive tracking. You will work directly with senior leaders across the company and have regular exposure to board and investor-level materials. This role is well-suited to someone early in their career who is intellectually curious, operates with strong analytical rigor, and is energized by working at the intersection of science, technology, and business strategy. What You'll Be Building - Synthesize market, competitive, and internal data to support strategic decision-making - Build and maintain structured analyses, frameworks, and presentations for senior leadership and board audiences - Track emerging trends in AI, life sciences, and physical sciences relevant to Lila's strategic positioning - Support deal processes including landscape mapping, initial screening, and diligence preparation - Maintain competitive intelligence across key market segments, including company tracking, partnership activity, and technology developments - Build and refresh comp sets and market benchmarks in support of M&A and partnership evaluation - Support the annual strategic planning cycle, including data gathering, cross-functional synthesis, and documentation - Assist in OKR infrastructure: tracking, reporting, and maintaining the linkage between role-level objectives and company-level

Research Scientist I/II, Statistical Mechanics and Dynamics Cambridge, MA USA Your Impact at LILA Your role in our Physical Sciences division will focus on designing and implementing state-of-the-art simulation approaches to model transport, kinetics, rare events, and reaction networks, and integrating them with AI-driven platforms for materials discovery. Your work will be integral to our efforts in predicting, designing, and controlling the behavior of complex materials and molecular systems, and their acceleration via agentic AI. You will partner with diverse teams at Lila, including machine learning experts working on scientific superintelligence and materials science experts performing real-world experiments. What You'll Be Building - Develop and extend molecular dynamics and Monte Carlo algorithms to capture rare events, non-equilibrium processes, transport phenomena, and mapping complex reaction networks. - Build scalable simulation workflows that integrate statistical mechanics methods with machine learned interatomic potentials and agentic AI frameworks. - Design methods for coupling dynamics simulations with experimental observables to enable closed-loop verification and discovery with automated labs. - Collaborate with computational scientists, machine learning experts, and platform engineers to advance the fidelity and scalability of simulation-driven materials discovery. - Establish reproducible, modular software pipelines for statistical mechanics and dynamics simulations that can be deployed on HPC and cloud-based infrastructure. What You'll Need to Succeed - PhD or equivalent research/industry experience in Physics, Chemistry, Chemical Engineering, Mechanical Engineering, Applied Mathematics, or related fields. - Strong background in statistical mechanics, free energy calculations, reaction mapping, non-equilibrium dynamics, and rare-event sampling. - Demonstrated expertise with molecular dynamics,

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

Research Scientist I/II, Multiscale & Multiphysics Simulations Cambridge, MA USA Your Impact at LILA Your role will focus on building next-generation in silico multiphysics and multiscale simulation capabilities that power AI-driven scientific discovery. You will develop high-fidelity digital representations of complex physical systems spanning chemical and mechanical processes, transport phenomena, and electromagnetic behavior and integrate them into autonomous discovery and experimental pipelines. You will work on integrating simulation methods-such as finite element modeling, computational fluid dynamics, phase-field methods, and TCAD-style transport/process modeling-into scalable, programmatic, and agent-driven systems that enable real-time digital twins, simulation-informed decision-making, and autonomous closed-loop workflows What You'll Be Building - Develop and deploy robust multiphysics models across coupled domains (e.g., thermal, fluid, structural, electromagnetic, chemical), using methods such as coarse-grained, mesoscale, FEM, and CFD techniques. - Build integrated multiscale frameworks that connect atomistic, mesoscale, and continuum representations to model materials and devices. - Design and implement programmatic, agent-driven simulation workflows that can autonomously configure, execute, and refine simulations within closed-loop discovery workflows. - Create scalable, GPU-accelerated simulation pipelines, data infrastructure, and interoperable APIs that connect commercial tools (e.g., COMSOL, ANSYS) and custom solvers deploying on cloud-based, high-throughput computing environments - Collaborate with AI, software, and automation teams to orchestrate and deploy closed-loop discovery workflows, integrating computational predictions with robotic and cloud-based laboratory platforms to enable automated experiment-simulation feedback cycles and accelerated R&D. What You'll Need to Succeed - PhD in Mechanical Engineering, Chemical Engineering, Aerospace Engineering, Materials Science, or a related field. - Extensive experience with multiphysics

Associate Director/Director, Strategic Events Cambridge, MA USA Your Impact at LILA The Associate Director/Director, Strategic Events will build and lead Lila's global external events function. You will own a portfolio of high‑impact programs-flagship Lila events, executive summits, investor and partner gatherings, policy convenings, and key third‑party conferences-that drive pipeline, relationships, talent, and brand . This is not a logistics planner role. You own the “why” and “how” of events: which audiences we prioritize, what we say, and how each moment advances Lila's goals with: - Investors - understanding our platform, business model, and roadmap - Commercial partners & customers - seeing AISF capabilities and use cases, ssi milestones and team capabilities - Policymakers - building trust in SSI, safety, and responsible deployment - AI & science talent - experiencing our mission, culture, and technical ambition. *NOTE: Events driving talent acquisition are a key priority in 2026. Experience with organizing engaging events for technical audiences is a plus. What You'll Be Building - Develop a 12-18 month strategic events roadmap aligned with company priorities and GTM motions (e.g., SLAS, JPM, NVIDIA GTC, Lila‑hosted summits, hackathons). - Define clear objectives and KPIs for each event (pipeline and revenue influence, investor and partner meetings, policy relationships, talent leads, brand reach). - Own strategy and execution for flagship and executive‑level events, including programming, formats, and audience journeys tailored for investors, partners/customers, policymakers, and technical talent. - Lead cross‑functional planning with MarCom, Commercial, BizOps, Federal/Policy, Talent, and Science/AI/Robotics teams to ensure events are fully integrated

Scientist I / II, Robotics Cambridge, MA USA Your Impact at LILA As a Robotics Scientist at Lila, you will lead the research and development of autonomous robotic systems that serve as the intelligent physical infrastructure of our scientific superintelligence platform. You'll develop novel algorithms and deploy intelligent robotic solutions that interact seamlessly with human scientists and complex lab environments. Your work will accelerate our mission by enabling fully autonomous workflows for scientific discovery, combining cutting-edge robotics, machine learning, and systems engineering. What You'll Be Building - Design and develop autonomous robotic systems for transport and workcell operations, integrating advanced path planning, navigation, and motion planning algorithms - Build production-grade mobile manipulation platforms leveraging ROS/ROS2 and modular robotic architectures - Advance robotic perception by integrating sensing modalities such as 3D vision, LIDAR, and tactile sensors to enable robust, adaptable task execution - Use simulation environments to model, test, and optimize task planning, scheduling, and robot behaviors in diverse lab scenarios - Collaborate with AI, mechanical, and software engineering teams to translate theoretical robotics research into real-world autonomous systems What You'll Need to Succeed - Ph.D. in Robotics, Computer Science, Mechanical/Electrical Engineering, or a related field, or equivalent research experience - Expertise in motion planning, path planning, and navigation for manipulation and mobile robotics - Proficiency with ROS/ROS2, C++, and Python, with hands-on experience building robotic systems in real-world environments - Deep understanding of perception systems and sensor integration (e.g., camera, LIDAR, tactile sensors) - Proven ability to take robotic systems

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 / 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,

Machine Learning Scientist I/II, Scientific Reasoning Cambridge, MA USA Your Impact at LILA As a Machine Learning Scientist focused on Scientific Reasoning, you will help pioneer the next generation of AI systems capable of reasoning like a scientist. You'll design novel frameworks that push the boundaries of LLM-based reasoning methods - while also implementing scalable frameworks that integrate with Lila's platforms. This role bridges deep theoretical thinking with practical ML engineering, enabling breakthroughs in how scientific hypotheses are generated, tested, deployed and optimized. What You'll Be Building - Design and formalize frameworks for scientific reasoning with LLMs , including structured prompting, reasoning chains, and test-time compute. - Explore and implement methods for in-context learning, self-reflection, and adaptive reasoning in scientific discovery workflows. - Build scalable model prototypes that can be deployed to solve frontier scientific problems. - Collaborate with scientists and engineers to encode domain knowledge into reasoning systems that integrate symbolic and statistical approaches. What You'll Need to Succeed - PhD (preferred) or equivalent research/industry experience in Computer Science, Machine Learning, AI, Engineering, Materials Science or related fields. - Strong programming skills in Python with deep expertise in LLM frameworks (PyTorch, HuggingFace Transformers, LangChain, LlamaIndex , and related toolkits). - Expertise in LLM reasoning methods : in-context learning, test-time compute, chain-of-thought, or tool-augmented reasoning. - Ability to balance theoretical research with practical ML engineering to deliver scalable solutions. Bonus Points For - Research experience in causal reasoning, symbolic AI, or probabilistic programming . - Contributions to open-source LLM reasoning

Staff Software Engineer, Scientific System of Record Cambridge, MA USA; San Francisco, CA USA Your Impact at LILA We are seeking a Staff Software Engineer to join our Scientific System of Record Team and help build the next-generation AI-driven scientific platform. You will focus on developing user interfaces, services, high-performance APIs, databases, and reliable systems that integrate advanced AI frameworks with complex scientific analytics and laboratory workflows. You'll work closely with ML researchers, platform engineers, and scientists to develop systems that can handle diverse workloads and scale seamlessly, including structured SQL databases, data lakehouses, workflow engines, and lab execution environments. This is an opportunity to apply your deep front-end and backend expertise to a cutting-edge AI platform with real scientific impact. If you are passionate about building performant, elegant systems, we would love to hear from you. About The Team The Scientific System of Record Team (SSR) builds the memory layer for Lila's operations. It answers two questions: what did we plan to build? and what actually happened? These systems connect scientific intent to physical reality. Together with the data and automation teams, their systems ensure reproducibility and close the Design-Build-Test-Learn (DBTL) loop. What You'll Be Building - User Interfaces and APIs: Design and build high-performance, secure, and well-documented UIs and APIs that integrate with AI-driven applications. - Database Architecture and Scaling: Develop schemas and manage diverse data systems, including SQL, NoSQL, vector databases, and other emerging technologies, for performance and scalability. - Application Development: Drive implementation of front-end and