Robotics Scientist I / II at Lila Sciences | Cambridge, MA

About Lila Sciences Lila Sciences stands at the forefront of innovation with the world's first scientific superintelligence platform and autonomous laboratory dedicated to life sciences, chemistry, and materials science. Our mission is to revolutionize scientific discovery, leveraging AI to enhance every facet of the scientific method. By introducing scientific superintelligence, we aim to address humanity's most pressing challenges while accelerating advancements in human health, climate, and sustainability. Discover more about our vision at www.lila.ai. If you resonate with our mission and possess some of the qualifications listed below, we invite you to apply and join our dynamic team. Your Role and Impact at Lila As a Robotics Scientist at Lila, you will spearhead the research and development of autonomous robotic systems that constitute the intelligent backbone of our scientific superintelligence platform. Your innovations in novel algorithms and intelligent robotic solutions will enable seamless interactions between robotic systems and human scientists, driving fully autonomous workflows for groundbreaking scientific discovery. You will integrate cutting-edge robotics, machine learning, and systems engineering into your work, fostering a new era of scientific exploration. Your Contributions Will Include Designing and developing autonomous robotic systems for transport and workcell operations, incorporating sophisticated path planning, navigation, and motion planning algorithms. Creating production-level mobile manipulation platforms utilizing ROS/ROS2 and modular robotic architectures. Enhancing robotic perception by integrating diverse sensing modalities, including 3D vision, LIDAR, and tactile sensors, to facilitate robust and adaptable task execution. Employing simulation environments to model, test, and optimize task planning, scheduling, and robot behaviors across varied lab scenarios. Collaborating with AI, mechanical, and software engineering teams to transform theoretical robotics research into practical autonomous systems. What You Will Need to Succeed A Ph.D. in Robotics, Computer Science, Mechanical or Electrical Engineering, or a closely related field, or equivalent research experience. In-depth expertise in motion planning, path planning, and navigation for both manipulation and mobile robotics. Proficient in ROS/ROS2, C++, and Python, with practical experience in constructing robotic systems for real-world applications. Comprehensive understanding of perception systems and sensor integration, including cameras, LIDAR, and tactile sensors.

Your Role at Lila Sciences Lila Sciences is an innovative startup dedicated to creating a strong, evidence-based storytelling approach that integrates AI, science, and technology. We are looking for a detail-oriented, newsroom-experienced Senior Writer / Editorial Lead to become a vital member of our MarCom team. This trusted team collaborates closely with scientists, engineers, and executive leadership. Your mission will be to drive our editorial initiatives forward swiftly and credibly, ensuring that our narratives are both accurate and accessible to a diverse audience, ranging from technical experts to the general public. This position is pivotal in translating complex scientific concepts into impactful, reliable stories. Your Contributions Collaborate with senior executives to define Lila's editorial objectives, priorities, and long-term vision. Build and oversee a diverse team of writers (both contract and full-time), assigning stories and managing the drafting process. Craft and refine high-profile articles that enhance visibility, while developing scalable processes to maintain quality as we grow. Work with scientists, engineers, and leadership to convert intricate research into credible narratives that resonate with customers, partners, governmental bodies, investors, and potential hires. Generate multi-layered content suitable for various formats, including social media posts, blogs, technical briefs, and presentations. What You'll Achieve Establish Lila's external writing standards, voice, and editorial integrity. Identify timely and relevant topics for publication, while discerning what should be omitted. Develop and manage an editorial calendar that aligns with business goals and scientific milestones. Team Leadership and Writer Development Lead a focused editorial team and a network of freelance writers. Provide clear guidelines, swift feedback, and mentorship throughout the writing process. Set standards for sourcing quality content, ensuring accurate fact-checking and prompt delivery. Hands-on Writing and Editing Create high-quality articles, explanatory pieces, technical overviews, case studies, and scripts that exemplify narrative clarity and accuracy. Executive Interviews and Ghostwriting Conduct interviews with senior executives (CEO, CSO, CTO, and other scientific leaders) to produce articles, opinion pieces, Q&As, and narrative updates on Lila's research, platform, and scientific achievements. Collaborate on ghostwriting and co-writing projects for leaders while maintaining their unique voice and technical precision.

Your Impact at Lila As a Senior Accountant at Lila Sciences, you will be instrumental in enhancing and scaling our financial operations during an exciting phase of growth and innovation. You will take ownership of essential accounting functions, assist in implementing top-tier processes, and guarantee timely and precise financial reporting throughout the organization. By collaborating closely with Finance, Operations, and various cross-functional teams, you will infuse rigor, insight, and systematic thinking to bolster strategic decisions and uphold financial excellence. This is a significant opportunity to establish and expand the accounting framework of a company that is transforming the future of science. Your Responsibilities Facilitate the month-end closing process by preparing journal entries, reconciliations, and reporting. Ensure the correct application of US GAAP, particularly concerning fixed assets and leases. Collaborate with lab operations, procurement, and other departments on workflows, tracking, and accounting related to fixed assets and leases. Assist with audits and compliance initiatives, including preparing schedules and coordinating with external auditors. Lead enhancements in accounting systems and processes (e.g., ERP optimization, reconciliation automation). Qualifications for Success Active CPA license. Bachelor's degree in Accounting, Finance, or a related discipline. A minimum of 4 years of accounting experience, with at least 2 years in public accounting or within a high-growth tech/life sciences environment. In-depth understanding of US GAAP. Familiarity with accounting systems (e.g., NetSuite or similar ERP solutions). Proficient in Excel with a keen attention to detail. Preferred Qualifications Experience with Fixed Asset Accounting and Lease Accounting (ASC 842). Knowledge of internal controls and SOX compliance. Exposure to FP&A or experience in cross-functional business partnerships. A passion for Lila's mission and a desire to advance science at the forefront of innovation.

Lila Sciences seeks a Life Science Program Lead based in Cambridge, MA. This position centers on guiding research programs from planning through delivery, with a focus on advancing key initiatives in the life sciences. The role involves close collaboration with teams spanning multiple scientific fields and plays a key part in supporting project success. Main responsibilities Manage project planning and oversee daily execution for life science programs Work alongside multidisciplinary teams to move research initiatives forward Track progress and help ensure programs meet their objectives What we look for Genuine interest in science and research Dedication to maintaining high standards and achieving program goals Background in working with or leading cross-functional teams

Your Contribution at Lila SciencesWe are on the lookout for an innovative and talented Multimedia Specialist to enhance our dynamic team. In this in-house position, you will be the primary resource for design (presentations, overviews, explainers), video production, photography, animation, and multimedia content development.This role is situated within a highly technical environment, and the ideal candidate should feel at ease collaborating with scientific and engineering teams, swiftly grasping new concepts, and translating intricate ideas into visually engaging and impactful narratives. A background in science, biology, AI, robotics, or software will be highly advantageous.In addition to content creation, you will play a crucial role in ensuring our expanding library of visual and multimedia resources are well-organized, archived, and readily reusable across various teams, including Sales Enablement, Commercial, Marketing & Communications, and scientific teams documenting research and lab procedures.Key ResponsibilitiesCore Multimedia ProductionCreate and produce captivating multimedia content, including videos, graphics, and animations, tailored for various platforms.Capture and edit high-quality photographs and videos for promotional materials, internal communications, and social media content.Oversee the entire production process from concept development to final delivery, including light coordination of timelines, reviews, and asset handoff.Stay abreast of industry trends and best practices in multimedia production.Scientific and Technical CommunicationCollaborate with scientific, engineering, and product stakeholders to interpret complex topics and convert them into accurate visual narratives.Create content for both external and internal audiences, such as:Sales enablement and commercial materials (short videos, demo clips, slide visuals, one-pager graphics)Scientific and technical explainers (animations, diagrams, process visuals)Lab/team documentation that captures discoveries and workflowsCollaboration and Visual StorytellingWork closely with Marketing & Communications team members to strategize and execute visual storytelling initiatives across multiple channels.

Your Impact at Lila In this pivotal role, you will spearhead the innovation and validation of advanced pooled assays utilizing mammalian cells. Your work will encompass everything from proof of concept to automated screening processes, enabling the generation of intricate, high-dimensional datasets. This position involves collaboration across cell biology, protein design, and nucleic acid teams to facilitate biologic development programs, focusing on the rapid assessment of binding, stability, function, and immunogenicity of diverse biologics. What You'll Be Building Create next-generation mammalian display-based assays for binding, stability, function, and immunogenicity. Implement cutting-edge multiomic, single-cell, and in situ sequencing workflows to design innovative, highly multiplexed assays. Collaborate with protein design, nucleic acid, and automation teams to leverage these workflows in biologics development. Closed-Loop Experimentation and Execution: Work closely with engineering and automation teams to architect automated, high-throughput experimentation platforms that yield data-rich workflows. Join forces with the AI team to conduct iterative experiments in real time, facilitating rapid optimization and discovery cycles. Collaborate, Lead & Communicate: Engage with cell biologists, synthetic biologists, automation engineers, protein design scientists, and data scientists to document systems, share insights, and refine best practices in autonomous science. Mentor junior scientists, align project milestones with internal and external collaborators, contribute to intellectual property and publications, and present findings across the organization. What You’ll Need to Succeed Ph.D. in Chemical/Biomedical Engineering, Biochemistry, Pharmaceutical Sciences, Immunology, or a related discipline (or M.S./B.S. with 5–8+ years of relevant industry experience). Proficiency in the development and/or application of mammalian display or similar pooled mammalian systems (perturb-seq, MPRA, etc.). Experience in designing, executing, and analyzing single-cell, in situ, or multiomic sequencing experiments. Expertise in creating complex libraries of defined sequences in mammalian cells. Experience in designing, executing, and analyzing flow cytometry and sorting experiments. Familiarity with next-generation sequencing (NGS) based experimental design and analysis.

Your Impact at Lila As a Scientist I/II in Organic Chemistry, you will play a pivotal role in the development, execution, and optimization of cutting-edge chemical transformations that enhance Discovery Chemistry initiatives across Lila Sciences. Your focus will be on the rapid synthesis of small molecules and a diverse range of chemical compounds. This position is tailored for an experimental organic chemist who possesses a robust foundation in synthetic chemistry, complemented by practical experience in high-throughput experimentation (HTE), reaction workup, and analytical characterization. Collaborating closely with teams specializing in Discovery Chemistry, analytical chemistry, automation, screening, and AI/computational methods, you will aid in constructing and implementing efficient chemistry workflows designed to expedite molecular design–make–test–analyze cycles. The Scientist II will be integral to reaction development, analog generation, and route execution utilizing contemporary organic chemistry techniques that are compatible with scalable, data-driven, and increasingly automated discovery environments. This role is ideal for a chemist passionate about addressing synthetic challenges at the intersection of reaction innovation, high-throughput experimentation, process efficiency, and analytical insight, and who is driven to contribute to the evolution of next-generation discovery workflows that extend beyond conventional bench chemistry. What You'll Be Building Design and optimize chemical transformations pertinent to Discovery Chemistry programs, with a strong emphasis on the swift synthesis of small molecules and analog series. Utilize modern synthetic organic chemistry methodologies to facilitate efficient exploration of a wide spectrum of structurally diverse and medicinally relevant chemical spaces. Plan and execute multi-step synthesis, reaction optimization, workup, purification, and compound characterization to support molecular discovery campaigns. Develop and implement HTE workflows aimed at reaction screening, condition optimization, reagent evaluation, and rapid assessment of transformation scopes. Establish robust methodologies for reaction setup, workup, sample preparation, and analytical readout to support rapid and information-rich experimentation. Employ analytical tools such as chromatography, NMR, and other related methods to evaluate reaction performance, characterize products, and inform synthetic strategies. Contribute to the evolution of practical and scalable chemistry workflows that integrate reaction discovery, optimization, and downstream compound generation.

Your Role at Lila Sciences As a key contributor to our Physical Sciences division, you will focus on advancing the field of in silico materials discovery techniques. Your responsibilities will involve designing autonomous workflows and data-driven pipelines that effectively integrate simulation with artificial intelligence. You will lead the development of strategies that empower agents to analyze simulation data, derive hidden insights, and facilitate hypothesis generation and materials design. Your innovative approach will enhance our utilization of simulation outputs for discovery, fostering a seamless integration of physics-based modeling with AI reasoning systems. Collaboration with specialists in simulation, AI agents, and experimental automation will be pivotal as we strive to redefine the landscape of digital discovery. Key Contributions Create cutting-edge workflows for in silico materials discovery that link physics-based simulations and generative AI models. Develop intelligent systems where AI agents autonomously design, execute, interpret, and optimize simulations. Establish frameworks that maximize the utility of simulation data for prediction, inference, and discovery, with features like automatic data extraction and model training. Prototype and assess novel paradigms for simulation-aware agents that learn from and interact with scientific simulations. Design data structures, metadata specifications, and APIs to ensure smooth information transfer among simulations, machine learning models, and experimental data repositories. Build scalable, modular workflows that connect electronic structure, atomistic, and mesoscale simulations with AI-driven reasoning and hypothesis generation. Work alongside computational scientists, machine learning professionals, and platform engineers to integrate in silico discovery pipelines into Lila’s overarching scientific superintelligence framework. Qualifications for Success PhD or equivalent experience in Computer Science, Materials Science, Chemistry, Physics, Applied Mathematics, or related fields. Strong background in in silico materials discovery, computational materials modeling, and/or simulation workflow design. Familiarity with large language models and their applications in scientific research. Experience in developing AI-driven or agentic workflows for scientific automation and discovery. Proficient programming skills in Python and scientific computing libraries.

Your Impact at Lila As a Machine Learning Scientist specializing in Scientific Reasoning, you will be at the forefront of advancing AI systems designed to think like scientists. Your role involves crafting innovative frameworks that extend the capabilities of LLM-based reasoning methods while also developing scalable systems that enhance Lila’s platforms. This position merges profound theoretical insights with hands-on ML engineering, facilitating breakthroughs in the generation, testing, deployment, and optimization of scientific hypotheses. What You Will Be Creating Develop and formalize frameworks for scientific reasoning using LLMs, incorporating structured prompting, reasoning chains, and computational strategies at test time. Investigate and implement techniques for in-context learning, self-reflection, and adaptive reasoning within scientific discovery processes. Create scalable model prototypes aimed at addressing cutting-edge scientific challenges. Collaborate with scientists and engineers to embed domain knowledge into reasoning systems that unify symbolic and statistical methodologies.

Your Contribution at Lila Sciences Be a part of our mission to revolutionize science! We are on the lookout for a skilled Senior Backend Software Engineer to become a vital member of our software platform team. In this role, you will work alongside talented software engineers, laboratory scientists, and machine learning engineers to develop advanced tools for automated scientific analysis and beyond. Your focus will be on Python development, web services, and data engineering, creating impactful scientific applications. If you excel in a dynamic, collaborative environment and advocate for best practices in git, development workflows, and user-centered design, we invite you to apply! Your Projects Service Design & Development: Craft and build high-performance, secure, and well-documented code that seamlessly integrates with our existing services and applications. System Optimization: Identify and resolve system bottlenecks, ensuring high availability and low-latency performance across extensive workloads. Cloud Infrastructure: Utilize AWS services, Kubernetes, and modern DevOps methodologies to construct and deploy scalable production-grade systems. Collaborative Integration: Partner with ML researchers, engineers, and scientists to incorporate data pipelines, APIs, and cloud infrastructure into scientific workflows and services.

Your Impact at Lila Sciences Become a pivotal part of the scientific revolution! We are looking for a Principal Software Engineer with extensive full-stack expertise to join our innovative software platform team. In this collaborative role, you will partner with software engineers, lab scientists, and machine learning experts to develop advanced tools for automated scientific analysis and beyond. Your responsibilities will encompass web services and data engineering, with a strong focus on Python development tailored for scientific applications. If you excel in a teamwork-oriented, fast-paced setting and adhere to best practices in version control, development workflows, and user-centered design, we would love to connect with you! Key Contributions You Will Make Design & Build Services and Front-ends: Create high-performance, secure, and well-documented code that seamlessly integrates with our existing services and applications. Performance & Reliability: Identify and resolve system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads. Cloud & Infrastructure: Utilize AWS services, Kubernetes, and contemporary DevOps methodologies to build and deploy production-ready systems at scale. Cross-Functional Collaboration: Collaborate with machine learning researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows and services.

Your Impact at Lila The Scientist I/II, Process Chemistry will utilize cutting-edge process chemistry methodologies to enhance Discovery Chemistry initiatives across Lila’s diverse platform. This role emphasizes reaction and reactor engineering, process design, high-throughput experimentation, and digital chemistry workflows aimed at small molecules and associated molecular constructs. We seek a hands-on scientist who possesses a robust background in synthetic and process chemistry, complemented by an engineering mindset and experience in developing scalable, data-driven experimental workflows. Collaboration is key in this role; you will work closely with teams in Discovery Chemistry, analytical chemistry, automation, platform engineering, and AI/computational science to design, implement, and refine reaction and process workflows. These improvements will enhance the speed, reliability, and scalability of chemical transformations. The Scientist I/II will play a crucial role in bridging early-stage discovery chemistry with contemporary process development by establishing efficient, digitally enabled, and automation-friendly methods for reaction screening, process optimization, and chemistry execution. This position is perfect for a scientist passionate about the convergence of chemistry, engineering, high-throughput technologies, process intensification, and digital experimentation and eager to contribute to the evolution of next-generation process chemistry capabilities beyond traditional methods. What You Will Be Building Design, execute, and optimize process-relevant chemical transformations that advance Discovery Chemistry programs and the creation of small molecules. Develop reaction and process workflows with a focus on engineering rigor, scalability, reproducibility, throughput, and data integrity. Implement high-throughput experimentation (HTE) for reaction screening, process optimization, condition scouting, and assessment of process-relevant variables. Create and execute workflows that integrate reaction setup, process screening, workup, analytical readout, and data capture into streamlined experimental cycles. Contribute to the design of digitally enabled process chemistry workflows, including structured experimental data generation, electronic documentation, and the integration of chemistry data into computational and AI-ready systems. Collaborate with automation and platform teams to refine reaction and process workflows for robotics-enabled experimentation.

Role overview Lila Sciences seeks a Scientist I/II in Drug Delivery Chemistry for its Cambridge, MA location. This role centers on advancing drug delivery systems that align with the company’s broader research objectives. Key responsibilities Collaborate with fellow researchers to design and refine drug delivery technologies. Apply chemistry expertise to enhance scientific strategies and laboratory processes. Contribute to projects focused on improving patient outcomes through innovative drug delivery solutions. Location This position is based in Cambridge, Massachusetts.

Your Role at Lila Sciences Join Lila Sciences as a Product Strategy Intern within our Chemistry team and play a pivotal role in the commercialization of AI-powered innovations across various chemistry sectors, including industrial, specialty chemicals, and life sciences. Collaborate closely with Product and Commercial leaders to shape market strategies, assess business opportunities, and assist in go-to-market initiatives. This opportunity is perfect for a technical MBA student who is passionate about translating advanced chemistry into impactful commercial solutions. Your Contributions Assist in the development of product and go-to-market strategies for chemistry platforms in industrial, specialty chemical, and life science applications (e.g., catalysts, coatings, functional additives, specialized formulations, biomolecules, therapeutics), while adapting to business needs across sectors. Conduct thorough market research and opportunity evaluations to guide product roadmap prioritization and commercial strategy decisions. Prepare strategic documents, including presentation decks, one-pagers, and frameworks (e.g., Target Product Profiles) that effectively communicate technical capabilities and customer value. Establish and maintain organized databases and information systems to aid in product pipeline management and strategic decision-making. Extract insights from customer discovery interviews and expert discussions to refine chemistry product strategies, positioning, and priorities. Qualifications for Success Currently enrolled in an MBA, Ph.D., or a comparable graduate program. Exceptional analytical skills with the ability to distill complex information. Proficient in crafting presentations with a keen eye for visual clarity. Adaptable and comfortable operating in dynamic, fast-paced environments. Quick learner with a strong grasp of scientific concepts in chemistry, capable of communicating them effectively to commercial stakeholders. Preferred Qualifications Background in chemistry, organic small molecules, or related physical/life sciences. Experience in market research, strategy consulting, or product management within technical fields. Familiarity with platforms such as Salesforce, Notion, or similar tools. Understanding of chemistry applications in industrial and life science sectors (e.g., specialty chemicals, formulations, catalysis, therapeutics). Previous experience in chemicals, pharmaceuticals, advanced materials, or deep tech environments.

Your Role at Lila SciencesJoin our innovative Physical Sciences division, where you will spearhead the development of intelligent agent-driven systems designed to enhance AI-accelerated and AI-orchestrated process engineering across diverse industrial applications. In this pivotal role, your mission will be to create methodologies empowering AI agents to reason, design, simulate, optimize, and operate complex physical and chemical processes using both traditional and machine learning-driven process engineering tools. You will focus on building agentic infrastructures that facilitate AI systems in planning and executing multi-step process engineering workflows, which include process synthesis, flowsheet generation, steady-state and dynamic simulation, control strategy design, and techno-economic evaluation. Your contributions will significantly influence how Lila's scientific superintelligence addresses real-world challenges through closed-loop autonomous process engineering.Your ContributionsDesign and implement agentic frameworks supporting comprehensive process engineering workflows, encompassing process setup, simulation, optimization, and analysis.Create AI agents capable of autonomously planning, executing, and refining process engineering tasks utilizing existing tools such as steady-state and dynamic simulators, optimizers, and data systems.Investigate agentic strategies for advanced objectives, including process intensification, control co-design, real-time optimization, and closed-loop learning informed by operational data.Enhance the robustness, interpretability, and reproducibility of agent-driven process engineering workflows; develop internal tools for debugging, observability, validation, and auditability.Collaborate with interdisciplinary teams to apply agentic process engineering across a wide range of industrial applications.

Your Impact at Lila Join our innovative Physical Sciences team as a Research Scientist, where you'll spearhead the development of cutting-edge generative modeling techniques to address significant challenges in materials science. Collaborate with a diverse team of machine learning experts, software engineers, and materials scientists to create and implement generative models tailored to Lila’s distinctive materials design needs. This role not only advances the forefront of scientific research but also allows you to witness the tangible impact of your work on materials being refined in our experimental facilities on a daily basis. What You’ll Be Building Generative Models: Create and deploy generative models, including Diffusion and flow-based models, alongside advanced sampling methods to solve diverse materials design challenges. Data Representation: Innovate architectures and approaches that incorporate physics-informed constraints and domain knowledge to model materials across a wide chemical space for real-world applications. Real-World Validation & Deployment: Develop and verify datasets, frameworks, and methodologies for validating generative models with experimentally realized materials. Collaborate with software engineers and product managers to implement these solutions. Cross-Functional Partnership: Engage with R&D leadership, product managers, and automation specialists to translate scientific inquiries into data requirements and modeling strategies. What You’ll Need to Succeed Proficient in Python and deep learning frameworks with experience in end-to-end workflow deployment. Familiarity with contemporary generative modeling techniques, including diffusion models and geometric deep learning, and their applications in scientific disciplines such as materials science, chemistry, and biology. A foundational understanding of materials science, physics, and chemistry, and the ability to incorporate these principles into generative model design. A self-motivated and independent thinker with keen attention to detail. Demonstrated experience in industry or notable academic achievements. Strong communication and presentation skills, with the ability to convey complex technical information effectively. Aspirations to collaborate with highly skilled teams in a dynamic, entrepreneurial, and technical environment.

Your Impact at Lila Join our dynamic and innovative AI safety team at Lila Sciences, where we prioritize talent and agency to mitigate risks associated with scientific superintelligence. Our mission is to craft and execute a tailored safety strategy that aligns with our unique objectives and deployment methods. This role involves creating technical safety strategies, engaging with the broader scientific community, and producing critical technical documentation, including evaluations focused on risk and capability assessments. What You’ll Be Creating Design and implement capability evaluations to assess scientific risks, particularly from cutting-edge scientific models integrated with automated physical laboratories across biological and physical sciences. Lead and coordinate threat modeling sessions with both internal and external scientific experts, keeping abreast of emerging technologies and use cases. Develop and manage high-quality training and testing datasets for evaluations and safety systems. Analyze risks associated with Lila’s capabilities and their interactions with the broader ecosystem of general-purpose frontier models and specialized scientific tools. Contribute to high-quality research initiatives focused on scientific capability evaluation and restriction as needed. Assist with external communications regarding Lila’s safety initiatives. What You’ll Need to Succeed A PhD in biological sciences (e.g., molecular biology, virology, computational biology) or physical sciences (e.g., materials science, physics, chemistry, or chemical engineering), or similar experience. Proficient in scientific computing related to biological or physical sciences. Familiarity with dual-use research and dissemination issues within relevant safety, regulatory, and governance frameworks (e.g., export control, biological and chemical conventions). Exceptional communication skills to convey complex technical concepts to non-expert audiences effectively. Proven ability to lead internal and external teams in developing Lila's perspective on biological and physical risks. Demonstrated capacity to collaborate with cross-functional stakeholders (science, AI, product, policy) in a complex environment.

Your Contribution at Lila Sciences As a Robotics Scientist at Lila Sciences, you will spearhead the research and innovation of autonomous robotic systems that form the intelligent physical backbone of our cutting-edge scientific superintelligence platform. You will be instrumental in developing groundbreaking algorithms and deploying advanced robotic solutions that engage seamlessly with human scientists and intricate laboratory settings. Your efforts will propel our mission forward by establishing fully autonomous workflows for scientific exploration, merging state-of-the-art robotics, machine learning, and systems engineering. Projects You Will Undertake Innovating advanced methodologies for precise and dexterous robotic manipulation that utilize foundation models, reinforcement learning, diffusion-based techniques, and human input, enabling adaptable and intelligent robotic systems capable of executing complex tasks in a variety of scientific environments. Creating novel frameworks for human-robot interaction that integrate imitation learning and learning from human feedback, demonstrations, and corrections, fostering intelligent robotic agents that can smoothly blend into human scientific workflows and swiftly adapt to new experimental scenarios. Enhancing dexterous manipulation research through avant-garde machine learning techniques, including diffusion models and adaptive learning algorithms, synthesizing multi-modal sensing (tactile, visual, and linguistic) to develop generative skill representations and sophisticated motor learning policies for intelligent robotic systems. Designing autonomous robotic systems equipped with trust calibration mechanisms, allowing intelligent agents to dynamically modify their behaviors based on contextual information in challenging scientific tasks.

ISEE is on the lookout for a dedicated Robotics Engineer to become a vital part of our innovative team in Cambridge, MA. The ideal candidate will possess a robust background in robotics, gained through hands-on experience in industry, academic research, or internships.Key Responsibilities:- Design, implement, and maintain software solutions, including core algorithms and infrastructure, for our cutting-edge robotic arm trailer coupling system.- Engage in hands-on troubleshooting and problem-solving for the robotic arm.

We are seeking a passionate and detail-oriented Scientist I to join our innovative team at Integrated Resources Inc. This entry-level position offers a fantastic opportunity to contribute to groundbreaking research and development projects. You will work closely with experienced scientists to support various laboratory activities, including experimental design, data collection, and analysis.