Lila Sciences currently has 53 active AI-related job listings. The majority of these roles are in the agents stage, accounting for 43% of the openings. Engineering is the top function for hiring, followed by Research. The company is primarily hiring in the United States. Frequently tagged technologies include agent orchestration, model serving, and evals, suggesting a focus on agent-based AI systems and their deployment. Over the last 30 days, Lila Sciences has posted 12 new AI roles, representing a 25% decrease compared to the previous 30-day period.
Currently tracking 39 active AI roles, down 40% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $128k–$500k (avg $253k).
Lila Sciences currently has 51 active AI-related roles in our index. The most common open titles are: AI Residency Program, Material Science (2026 Cohort), Co-Op, AI Security, Co-Op, Automation, Co-Op, Autonomous SEM, Co-Op, Data Extraction. Most positions are in Engineering and Research.
Lila Sciences's active AI hiring is concentrated in: agents (43%), data (22%), post-training (20%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Lila Sciences is hiring AI talent in: United States (51 roles).
Job postings at Lila Sciences most frequently mention: Materials Science, Biotech, Machine Learning, Python, Software Engineering.
In the past 30 days, Lila Sciences has posted 10 new AI-related roles. That is a -37% change versus the prior 30 days (16 → 10).
| Title | Stage | AI score |
|---|---|---|
| Staff Forward Deployed Engineer, Physical Sciences (Level Flexible) The Forward Deployed Engineer (FDE) role at Lila Sciences focuses on embedding with internal biotech and materials science teams, as well as external customers, to build and deploy AI-fueled solutions. This involves developing domain-specific tools, deploying agentic scientific workflows integrated with industrial instruments and data systems, building real-time data pipelines, creating user interfaces for AI/ML capabilities, and architecting scalable solutions. The role requires strong full-stack development skills, data engineering experience, and domain expertise in chemistry or materials science, with a focus on rapid, production-level code delivery. | AgentServe | 7 |
| Staff Forward Deployed Engineer, Life Sciences Seeking Forward Deployed Engineers to embed with internal biotech and external customers, building AI-fueled solutions to transform research capabilities. This role involves developing domain-specific tools, deploying agentic scientific workflows, building real-time data pipelines, creating user interfaces for AI/ML, and architecting scalable solutions. | AgentServe | 7 |
| Senior Technical Program Manager, AISF This role is for a Senior Technical Program Manager to provide operational support for AI Science Factory (AISF) program execution. The TPM will be responsible for governance infrastructure, cross-team alignment, risk escalation, and stakeholder coordination to ensure predictable delivery across the AISF portfolio. The role acts as a liaison between research, engineering, product, and operations, focusing on identifying alignment gaps, tracking dependencies, and facilitating program progress. | — | 5 |
| Senior Software Engineer II, Enterprise Platform Senior Software Engineer II, Enterprise Platform role at Lila Sciences, focusing on building the enterprise lifecycle and developer ecosystem for autonomous science platforms. This involves developing multi-tenancy, authorization, public APIs, SDKs, and agent integration systems to enable secure and scalable adoption of AI-driven scientific workflows for external customers and internal scientists. The role requires strong backend engineering experience, particularly in APIs, services, and platform infrastructure, with proficiency in Python, Kubernetes, and AWS. | — | 5 |
| Senior Director / Vice President, Chemistry Experiment This role leads the chemistry organization, establishing strategic direction and team leadership for experimental chemistry efforts. It involves building an experimental chemistry function across various disciplines and integrating AI-informing and AI-driven experimentation into discovery and platform efforts. The leader will also cultivate scientific rigor and scale the team to support the development of scientific superintelligence. | — | 5 |
| Co-Op, Next Gen Engineering Co-op role focused on developing and implementing software and hardware tools for scientific discovery through intelligent automation, including onboarding laboratory equipment onto an AI platform. Requires STEM background and programming proficiency. | — | 5 |
| Technical Program Manager, AI Platform The Technical Program Manager, AI Platform at Lila Sciences will drive cross-functional coordination for the AI Platform team, which provides compute, storage, and tooling for AI model training and evaluation. This role involves managing programs related to compute fleet scale-up, unified storage strategy, cluster utilization, vendor partnerships, researcher support, and an eval leaderboard program. The goal is to bring structure, accountability, and momentum to the scaling platform. | — | 5 |
| Chief of Staff to the CEO The Chief of Staff to the CEO will partner with the Founder and CEO to advance the company's strategic and scientific priorities. Lila Sciences is building a scientific superintelligence platform applying AI across the scientific method to accelerate discovery. The role requires a senior operator with technical depth to serve as a thought partner to the CEO, shape and stress-test scientific bets, and provide strategic counsel. Responsibilities include scientific and strategic decision support, board and investor preparation, executive team alignment, and oversight of cross-functional initiatives. The ideal candidate has a PhD, founding experience at a technical company, or equivalent hands-on training in a scientific or AI domain, with 8+ years of experience in senior strategic roles within technology- or science-driven organizations. | — | 5 |
| Co-Op, Finance This co-op role focuses on integrating AI, specifically LLM APIs, into corporate finance workflows. The individual will identify use cases, prototype tools using internal data and LLM APIs, measure impact, and help scale successful pilots into broader team adoption. The role is hands-on, at the intersection of applied AI and corporate finance, with a focus on shipping functional tools. | Agent | 5 |
| Co-op, Analytical Chemistry This role supports analytical chemistry tasks within a 'science factory' that uses AI-driven workflows to accelerate scientific discovery. The co-op will perform high-throughput analytical studies, spectroscopic and chromatographic analysis, and manage experimental data for AI-driven analysis, using Python for data processing. While the role contributes data to AI systems, it does not directly build or research AI models. | — | 5 |
| Scientist, Epitaxial Thin Film Synthesis The Scientist, Epitaxial Thin Film Synthesis will lead the synthesis of high-quality epitaxial thin films for novel quantum materials. This role involves designing growth and characterization protocols for an autonomous science platform, partnering with ML scientists, and contributing to predictive material design. The scientist will grow and analyze thin films, design and measure electronic transport devices, and maintain equipment. | Data | 5 |
| Senior / Principal Technical Program Manager, Life Sciences AI This role is for a Senior/Principal Technical Program Manager to bring structure, accountability, and delivery cadence to the Life Sciences AI organization. The role involves coordinating between model researchers, computational and wet-lab scientists, automation and software teams, and the broader organization to drive program planning, status, milestone tracking, and risk management for AI-driven scientific discovery. | — | 5 |
| Director / Senior Director of New Product Planning,Physical Science This role is focused on product planning and commercial assessment within the physical sciences domain, specifically for Lila Origins, the company and asset creation arm. The Director/Senior Director will evaluate new opportunities, track industry trends, build financial models, and shape deal structures to translate scientific vision into ventures and partnerships. While the company uses AI extensively, this role is not directly building AI models but rather assessing opportunities where Lila's AI platform might be applied. | — | 5 |
| Senior Software Engineer, Scientific System of Record Senior Software Engineer role focused on building the Scientific System of Record (SSR) team at Lila Sciences. This role involves developing systems that model scientific intent, experiment planning, and results capture, connecting scientific intent to physical reality and closing the Design-Build-Test-Learn loop. The engineer will build UIs, APIs, backend services, and data models (including vector databases), focusing on reliability, performance, and scale within a cloud environment (AWS, Kubernetes). Collaboration with scientists, ML engineers, and other teams is key. While the company is AI-focused and the role supports ML workflows and AI-driven applications, the core responsibility is building the foundational systems, not directly developing AI models. | — | 5 |
| Staff Engineer, Data Platform Staff Engineer to set technical direction for core data infrastructure (ingestion, storage, orchestration, interfaces) supporting scientific discovery and ML research. Role involves designing and evolving data platform architecture, building reliable pipelines, ensuring observability, defining data models, and providing technical leadership and mentorship. | Data | 5 |
| Technical Program Manager, AI Data The Technical Program Manager, AI Data role at Lila Sciences focuses on managing AI data generation and curation workstreams to support model training. The role involves launching and operating cross-functional project teams, ensuring timely delivery of standardized AI data, and serving as a communication interface between teams. It requires strong program management skills, analytical abilities, and the capacity to drive accountability without direct authority. While not requiring deep ML research expertise, a genuine curiosity about AI data's role in model development is essential. The role is crucial for scaling the AI data pipeline to support scientific superintelligence initiatives. | — | 5 |
| Principal Software Engineer, Data Principal Software Engineer with backend experience to join the Data Platform Team. This role will collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis. The team builds and supports the data systems that underpin Lila's AI Science Factory™, handling real-time ingestion, large-scale analytical storage, workflow orchestration, and self-service tools for scientists, engineers, and ML teams. | Data | 5 |
| Director / Senior Director, Product, Physical Sciences Director/Senior Director of Product for Physical Sciences at Lila Sciences, focusing on platforms that accelerate scientific discovery. This role involves shaping vision, roadmap, and execution for capabilities at the intersection of physical science, simulation, lab automation, data, and ML. It requires strong leadership, customer-facing engagement, commercial deal closure, and translating complex technical work into product direction. The role emphasizes building and launching complex technical products, understanding physical science R&D workflows, and potentially integrating LLMs/agentic systems into scientific workflows. | — | 5 |
| Enterprise Account Lead, Life Sciences This role is for an Enterprise Account Lead in the Life Sciences sector, focusing on selling Lila Sciences' AI-driven drug discovery and autonomous lab platform to top pharmaceutical and biotech companies. The individual will build and manage sales pipelines, lead complex sales cycles, develop executive relationships, and partner with internal teams to drive enterprise contracts. While the platform is AI-driven, the role itself is sales-focused. | — | 5 |
| Director / Senior Director, New Product Planning, Life Sciences The Director / Senior Director, New Product Planning will shape Lila Origins, a venture-building arm focused on translating scientific vision into molecules, materials, and real-world ventures. This role involves assessing opportunities, shaping ventures, and partnering to create differentiated assets. The ideal candidate has experience in new product planning or commercial assessment within pharma/biotech, strong scientific literacy, and modeling skills. Bonus points for experience with AI tools in workflows and structuring partnerships. | — | 5 |
| Scientist II/Senior Characterization Scientist, Condensed Matter The role focuses on developing and implementing advanced characterization workflows for magnetic and superconducting materials, integrating experimental science, robotics, and AI to guide materials discovery within an autonomous science platform. The scientist will design and execute high-throughput experiments, analyze data, and collaborate with ML scientists to build scalable workflows. | Data | 5 |
| Technical Program Manager, Robotics Technical Program Manager for a Robotics team building autonomous robotic systems. The role involves coordinating cross-functional projects, maintaining documentation, supporting planning, surfacing and resolving blockers, improving standard practices, and communicating program status. Requires experience in advanced robotics and program coordination, with a curiosity for robotics, AI, and hardware-software integration. | — | 5 |
| Senior Software Engineer, Operations Research Senior Software Engineer, Operations Research role focused on designing, building, and optimizing backend systems and data infrastructure for an AI-driven scientific platform. The role involves developing orchestration algorithms, lab simulation capabilities, data pipelines, and integrating AI frameworks with scientific workflows, primarily on AWS using Kubernetes. | AgentData | 5 |
| Senior Software Engineer, Data Senior Software Engineer on the Data Platform Team building and supporting data systems for an AI Science Factory. The role involves designing and building APIs, database architecture, optimizing performance, and leveraging cloud infrastructure. Collaboration with ML researchers and scientists is key. | Data | 5 |
| Senior Software Engineer, Lab Software Senior Software Engineer role focused on building backend systems, APIs, and database architecture for lab automation tools that integrate with AI-driven scientific analysis. The role involves full-stack development, cloud infrastructure management (AWS, Kubernetes), and collaboration with ML engineers and scientists to support scientific workflows. | — | 5 |
| Software Engineer II, Lab Software Software Engineer II with backend experience to join the Lab Software Team, building tools for automated scientific analysis. The role involves designing and building UIs and APIs, managing database architecture, developing backend services, optimizing system performance, and leveraging cloud infrastructure (AWS, Kubernetes). Collaboration with ML researchers and engineers is key. | — | 5 |
| Staff Software Engineer, Lab Software Staff Software Engineer role focused on building the physical and virtual execution layer for Lila's AI-driven science, connecting AI models to experimental instruments. This involves designing and building UIs and APIs, managing diverse data systems (including Vector DBs), developing backend services, optimizing performance, and leveraging cloud infrastructure (AWS, Kubernetes). The role requires strong backend experience and collaboration with ML researchers and scientists. | Agent | 5 |
| Staff Software Engineer, Scientific System of Record Staff Software Engineer to join the Scientific System of Record Team to build the next-generation AI-driven scientific platform. Responsibilities include developing user interfaces, services, high-performance APIs, databases, and reliable systems that integrate advanced AI frameworks with complex scientific analytics and laboratory workflows. The role involves working with ML researchers, platform engineers, and scientists to develop scalable systems including SQL databases, data lakehouses, workflow engines, and lab execution environments. | Agent | 5 |
| Enterprise Account Lead, Physical Sciences This role is for an Enterprise Account Lead focused on selling Lila Sciences' AI-driven platform for scientific superintelligence to Fortune 500 companies in the energy, chemicals, manufacturing, and materials sectors. The role involves building and managing an enterprise sales pipeline, leading complex sales cycles, and translating the company's AI and autonomous lab capabilities into signed contracts. While the company's platform is AI-driven, the role itself is primarily sales-focused, requiring technical depth and business acumen to engage with buyers and inform the product roadmap. | — | 5 |
| Manager / Sr. Manager, Leadership Development This role is for a Manager/Sr. Manager of Leadership Development at Lila Sciences, a company focused on Scientific Superintelligence™. The individual will own the design, execution, and refinement of leadership development programs, specifically the Echelon program. This is a hands-on role requiring strong content and curriculum development skills, program management, stakeholder communication, and a builder's mindset. Responsibilities include leading program design, building learning content, managing the program calendar and logistics, overseeing the budget and vendor relationships, and developing measurement frameworks to demonstrate business impact. The role requires 5+ years of experience in leadership development or talent development programs, strong project management, curriculum development experience, and excellent stakeholder management skills. Experience in biotech or AI organizations and familiarity with AI tools for content development are considered bonuses. | — | 5 |
| Senior Simulation Engineer I/II, Robotics This role focuses on building the foundational simulation and robotic infrastructure for an AI Science Factory, involving scene authoring, automated data generation pipelines, physics and sensor fidelity, and sim-to-real transfer workflows. The engineer will work with NVIDIA Isaac Sim, Omniverse Kit, and USD to create reusable simulation libraries and tooling. | Data | 5 |
| Analyst / Senior Analyst, Corporate Strategy This role supports corporate strategy development, competitive intelligence, M&A, enterprise planning, and OKR tracking within a fast-moving team at Lila Sciences. The Analyst will synthesize market and competitive data, track emerging trends in AI and life sciences, and support strategic decision-making for senior leadership and board audiences. The role requires strong analytical rigor, communication skills, and experience in strategy, consulting, or investment banking. | — | 5 |
| Operations Manager, Robot Data Collection This role manages the day-to-day operations for robot data collection, focusing on scaling the process, managing supervisors and operators, and ensuring high-quality data for robotics research. It involves setting targets, managing performance, driving retention, and bridging the gap between the operational floor and the research team. | — | 5 |
| Research Associate, Protein Science, Cell-Free Expression Research Associate role focused on developing and refining cell-free expression systems for protein synthesis, optimizing conditions, preparing media, performing molecular cloning, operating robotic systems, and collaborating with AI scientists and engineers to develop AI-driven processes. The role involves data record-keeping amenable to computational workflows and data analysis. | — | 5 |
| Scientist I/II, Drug Delivery Chemistry Scientist role focused on designing and developing a high throughput chemical synthesis platform for drug delivery applications, optimizing novel molecules, and building structure-activity relationships. The role involves collaboration with chemistry, engineering, machine learning, and data science teams to enable closed-loop optimization of organic compounds. | Data | 5 |
| Materials Technical Program Manager This role is for a Technical Program Manager at Lila Sciences, a company applying its autonomous science platform to materials discovery. The TPM will own the execution layer of programs, including project plans, cross-functional dependencies, and blocker resolution, ensuring agentic science programs are delivered on time and at scale. The role requires significant program management experience in deep tech environments and the ability to coordinate across scientific and operational stakeholders. | — | 5 |
| Technical Program Manager, AI Safety Technical Program Manager for AI Safety at Lila Sciences, focusing on operationalizing AI safety work across research, model development, and engineering teams. The role requires strong program management skills, communication, and a genuine curiosity about AI safety concepts, but does not require hands-on ML research. | — | 5 |
| Director, Sustaining Engineering & Lab Operations This role focuses on building and scaling the operational infrastructure for AI Science Factories (AISFs), which are automated, AI-directed labs. The Director will own fleet reliability, incident response, and continuous improvement for these labs, defining operating models, driving AI integration in operations, and managing supply chain and asset management. While the labs use AI, the role itself is in sustaining engineering and lab operations, not directly building AI models or core AI systems. | — | 5 |
| Director / Senior Director, Talent Acquisition Director/Senior Director of Talent Acquisition at Lila Sciences, a company building AI-driven science platforms. This role leads a team responsible for strategic talent acquisition across AI, Software, and Scientific roles, focusing on high-volume, high-quality hiring in competitive markets. Key responsibilities include designing interview processes, developing sourcing strategies, building metrics infrastructure, and leveraging AI-powered tools for recruitment. | — | 5 |
| Scientist I/II, mRNA Translation Dynamics The Scientist I/II, mRNA Translation Dynamics role at Lila Sciences focuses on developing experimental workflows and generating biological datasets that will be used to train machine learning models. The role involves designing and executing high-throughput screening campaigns, optimizing assays, and collaborating with computational and ML teams to define data requirements and validate model predictions. The goal is to integrate synthetic biology, high-throughput experimentation, and intelligent automation to advance biological discovery. | Data | 5 |
| Director, Instrument Development Acceleration Director of Instrument Development Acceleration responsible for getting instruments online, fast, reliably, and at scale. The role focuses on the rapid design and development of laboratory instruments across the full lifecycle, from concept to operational in the lab, at high volume. This includes architecting and implementing integration frameworks connecting virtual laboratory environments with physical instrumentation and robotic systems, maintaining rigorous hardware-software integration standards, and making pragmatic technical decisions. The role works closely with AI researchers, software engineers, and robotics teams to drive fast, efficient system integration and deployment, and build lean development practices. | — | 5 |
| Senior Research Associate / Associate Scientist, Targeted LNP Delivery Seeking a Senior Research Associate/Associate Scientist to focus on formulating, functionalizing, and characterizing targeted lipid nanoparticles (LNPs) for drug delivery. The role involves hands-on expertise in LNP formulation, bioconjugation, protein characterization, and automation to enable a high-throughput closed-loop screening cascade. Collaboration with chemistry, machine learning, and data science teams is key to developing next-generation tools for targeted nucleic acid delivery. | Data | 5 |
| Director, Discovery Chemistry This role leads the design, synthesis, and optimization of small molecules for a discovery platform, translating AI-generated hypotheses into validated chemical matter. It involves building a chemistry program that integrates with AI, automation, and computational teams, driving synthetic strategy, route design, and molecular property optimization, with a focus on scalable chemistry execution and enabling seamless integration with robotic synthesis. | — | 5 |
| Senior Scientist, Analytical Chemistry Develop and deploy advanced analytical and characterization strategies to support Discovery Chemistry efforts, focusing on small molecules. Establish and scale multimodal characterization workflows, integrating with AI/computational teams for platform learning and iterative design-make-test-analyze cycles. | — | 5 |
| Sr Principal/ Principal Software Engineer, AI Lab Execution System Seeking a Senior Principal/Principal Software Engineer to lead the technical strategy and architecture for an AI-driven scientific platform. This role involves defining and building systems that connect scientific intent, laboratory execution, data capture, and AI-driven analysis, integrating AI frameworks with scientific analytics and lab workflows. The engineer will work closely with researchers, engineers, and scientists to create scalable software systems supporting diverse data and workflow needs. | Agent | 5 |
| Software Engineer I, Instrument Software Software Engineer to develop lab instrument integration software for an AI-enabled laboratory. Responsibilities include developing software for communication between robotics and automation hardware, system integration, testing, debugging, and documentation. The role also involves working with AI coding models to improve software delivery. | — | 5 |
| Director, Nucleic Acid Delivery This role leads the discovery and engineering of next-generation nucleic acid delivery systems using the Lila Sciences AI platform and AI Science Factory. The Director will guide a team in integrating AI-driven hypothesis generation, robotics-enabled experimentation, and biological insight to accelerate discovery of transformative delivery technologies, focusing on biological targeting and functional delivery. | Data | 5 |
| Commercial Counsel (Associate Director/Director) Commercial Counsel role at an AI company, focusing on drafting and negotiating commercial agreements, advising on AI legal/regulatory issues, and building scalable legal processes using AI tools. Requires 6+ years of legal experience in tech, with familiarity with AI/SaaS business models. | — | 5 |
| Software Engineer II / Senior Engineer, Life Sciences Data Science Software Engineer II / Senior Engineer, Life Sciences Data Science role at Lila Sciences, focusing on building tools for automated scientific analysis. The role involves Python development, web services, and data engineering, collaborating with scientists and ML engineers. It emphasizes full software development lifecycle, reusable code, and user-centered design within a fast-paced, entrepreneurial environment. | — | 5 |
| Senior Manager, Multimedia This role is a Senior Manager for Multimedia Content Creation, Production, and Asset Management. The primary focus is on producing various forms of multimedia content (videos, graphics, animations, photos) to support corporate communications, scientific storytelling, talent acquisition, and commercial relationships. A key aspect is leveraging AI-powered tools to enhance and accelerate content creation. The role also involves managing content assets and collaborating with scientific and engineering teams to translate complex topics into clear visual stories. | — | 5 |