Lila Sciences
AI Frontier · AI scientific discovery
AI Frontier · AI scientific discovery
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 |
|---|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Community & Ecosystem Growth Strategist This role focuses on growing online communities and executive presence for Lila's scientific leaders, leveraging AI agents for content creation, community engagement, and analytics. The strategist will participate in technical communities discussing AI-accelerated science and frontier technology, build relationships with influencers, and enable thought leadership. A key requirement is hands-on experience with AI agents for content workflows or community intelligence. | Agent | 5 |
| Manager / Senior Manager, Product Marketing, Physical Science Product Marketing Manager for an AI-driven materials and chemistry platform, focusing on go-to-market strategy, messaging, content creation, sales enablement, and market intelligence for physical science domains. | — | 5 |
| Manager / Senior Manager, Product Marketing, Life Science Product Marketing Manager for Life Science products at Lila Sciences, focusing on go-to-market strategy for AI-driven capabilities in areas like mRNA design and medicinal chemistry. The role involves defining product narratives, leading launch plans, creating content, and collaborating across teams to drive adoption and business impact. | — | 5 |
| Staff / Principal Automated Systems Engineer This role focuses on designing, developing, and implementing automation solutions for laboratory workflows, integrating hardware, controls, and software. It involves translating scientific objectives into technical requirements, exploring emerging technologies like machine vision and advanced sensors, and ensuring alignment with safety and regulatory standards. The role requires hands-on experience with automation, Python, CAD, hardware systems, and an understanding of AI-driven decision-making in research automation. | — | 5 |
| Principal Technical Program Manager This role is for a Principal Technical Program Manager at an early-stage AI company. The TPM will connect research with program execution, guide the overall program, evaluate and integrate emerging technologies, lead technical projects, manage data integrity, serve as an interface between technical and business teams, implement best practices for experimentation, develop documentation, and foster innovation. The company is building "Scientific Superintelligence™" to solve major challenges using AI models and proprietary instruments to execute the scientific method autonomously. | — | 5 |
| Associate Director / Director of Program Management, Life Sciences This role is for a Program Manager in the Life Sciences sector at Lila Sciences. The primary focus is on planning, executing, and delivering therapeutic programs by managing internal science, engineering, and automation teams. The role also involves serving as an operational interface with external pharmaceutical and biotech partners, ensuring smooth communication and deliverables. While the company utilizes AI and ML in its drug discovery platform, this specific role is centered on program management and operational execution rather than direct AI/ML development or research. | — | 1 |
| Portfolio Manager, Government Partnerships (DARPA & ARPA-H) This role is for a Portfolio Manager focused on Government Partnerships, specifically with DARPA and ARPA-H, to translate Lila's AI-driven scientific capabilities into compelling engagements and secure funding. The role involves managing agency relationships, building a pipeline of opportunities, leading engagements from identification to award, and contributing to a reusable capture playbook. | — | 0 |
| Platform Scientist, Soft Materials Seeking a Platform Scientist with a focus on soft materials to ideate, prototype, and transfer new experimental concepts for AI Science Factories. This role involves defining new approaches to formulation, structure-property relationships, and performance evaluation, and translating these concepts into scalable experimental workflows, custom apparatus, and software-enabled systems for autonomous research. | — | 0 |
| Engineer II / Senior Mechanical Engineer, Sustaining Engineering Mechanical Engineer II/Senior Engineer on Sustaining Engineering team to improve reliability, uptime, and lifecycle performance of deployed bench-scale robotics and mechanical systems. Focuses on sustaining and improving fielded robotic workcells, with ownership across troubleshooting, root cause analysis, preventive maintenance, design fixes, and targeted reliability improvements. Supports mechanical systems used across life science and physical science automation. | — | 0 |
| AISF Operational Systems Coordinator This role supports the operationalization of AI Science Factory (AISF) engineering systems infrastructure, focusing on lifecycle systems, deployment workflows, engineering standards, and operational infrastructure to scale AI Science Factories. It involves cross-functional coordination with engineering, robotics, software, and IT/OT teams to establish scalable operational foundations. The role emphasizes lightweight, usable, and consistently adopted operational standards, rather than traditional quality administration or heavy compliance management. | — | 0 |
| Shift Supervisor, Research Operations This role is for a Shift Supervisor in Research Operations at Lila Sciences, focusing on the reliable execution of automated lab workflows. The supervisor will serve as the technical lead for engineers, ensuring quality and operational performance, troubleshooting issues, and managing shift handoffs. The role requires experience in lab automation, operating automated liquid handling platforms, and leading teams in a fast-paced environment. | — | 0 |
| Senior/Principal Scientist, Small Molecule Therapeutics Lead early hit identification efforts in small molecule therapeutics by leveraging expertise in DNA-encoded libraries (DEL) and complementary screening technologies to discover and validate novel chemical matter. Partner cross-functionally with Chemistry, Computational, and Automation teams to develop and scale a small molecule screening platform. Drive hit progression through assay cascades and secure protein sources for characterization. | — | 0 |
| Co-op, Materials Science, Electrosynthesis This role supports Lila's electrosynthesis program by conducting experiments, characterizing materials, and generating experimental data. The role collaborates with engineering, software, and data teams to refine experimental workflows and contributes to building autonomous laboratory workflows in electrochemical sciences. | — | 0 |
| (Associate) Director, Customer Program Management, Physical Sciences This role is for a Customer Program Manager at Lila Sciences, a physical sciences company. The primary responsibility is to lead the delivery of customer partnerships, acting as the main point of contact and operational owner for complex, multi-year engagements. The role involves managing customer relationships, driving cross-functional alignment across technical teams (including AI/ML researchers), and building the infrastructure for customer delivery as the company scales. While the role interacts with AI/ML researchers, it is not an AI/ML development role itself. | — | 0 |
| Contractor, Recruiting Coordinator Contractor, Recruiting Coordinator role focused on managing interview logistics, improving recruiting processes, and ensuring data integrity within Greenhouse and Outlook. Requires 2+ years of experience in recruiting coordination or talent operations, with proficiency in ATS systems and strong organizational skills. | — | 0 |
| Lead Recruiter, Go to Market Lead Recruiter for a company building Scientific Superintelligence. This role focuses on end-to-end recruiting for go-to-market, corporate development, and other business functions. The recruiter will partner with senior leaders to translate strategy into hiring plans and manage searches for talent. | — | 0 |
| Senior Engineer I / Technical Program Manager, Hardware & Controls Engineering This role is for a Senior Engineer I / Technical Program Manager within the Hardware and Controls Engineering team. The primary focus is on driving the execution of multidisciplinary hardware, controls, and software platform programs. Responsibilities include program-level coordination, project management (milestones, procurement, resourcing, vendor coordination), and cross-functional alignment to ensure ambitious engineering efforts stay on track. The role involves managing complex engineering programs from concept through commissioning in regulated and industrial environments, ensuring alignment with product architectures and IT standards, and overseeing vendor performance. Experience in systems integration, quality management systems, and managing multidisciplinary teams is required. While the company is AI-focused, this specific role is centered on program management for hardware and controls engineering, not direct AI/ML model development or research. | — | 0 |
| Co-Op, Software Product Management This role supports software and workflow improvements for a scientific software platform, translating user needs into product requirements and owning small features from discovery to delivery. It involves shadowing users, grooming backlogs, writing user stories, and partnering with science, product, and engineering teams. | — | 0 |
| Contractor, Maintenance Engineering Technician I/II This role is for a Maintenance Engineering Technician responsible for executing preventive maintenance, troubleshooting, and calibration of instruments within Lila's AI Science Factories. The focus is on ensuring instrument uptime and performance in a highly automated lab environment, supporting scientific discovery. | — | 0 |
| Co-op, Mechanical Engineer Mechanical Engineering Co-Op role focused on designing, building, and testing hardware systems for autonomous scientific discovery, working alongside AI/ML researchers and engineers. | — | 0 |
| Scientist II, Mechanics & Extreme Materials Scientist II role focused on driving closed-loop learning for extreme materials (coatings, metal alloys) within an autonomous science platform. Responsibilities include defining experimental methods, integrating characterization outputs into ML training datasets, and leading experimental design. Requires PhD in a relevant field, expertise in mechanical and microstructural characterization, and a track record in developing performance-driven materials. Bonus points for experience with autonomous workflows and ML-guided design. | — | 0 |
| Senior Research Associate , Automated Chemistry This role focuses on hands-on high throughput experimentation using automated platforms for chemical synthesis, reaction optimization, and product screening. It involves developing and deploying integrated workflows and automation engineering solutions, troubleshooting instrument errors, and collaborating with scientists and engineers. The role requires a background in chemistry or a related field, experience in wet lab environments, and familiarity with automation and chemical handling. | — | 0 |
| Engineer II /Senior Software Engineer, Simulation Software Engineer to build and maintain a discrete event simulation platform that serves as a fast, lightweight complement to high-fidelity robotics simulations. This platform will be the primary testbed for iterating on scheduling strategies, fleet coordination algorithms, and capacity planning, exercising the same core decision-making code that runs in production. | — | 0 |
| Lab Operations Specialist I (Contract) This role supports second-shift operations within AI Science Factory (AISF) environments, focusing on maintaining laboratory readiness, managing material flow, and ensuring laboratory systems are operational for scientific workflows and automation platforms. It involves routine operational tasks, troubleshooting, and cross-functional collaboration. | — | 0 |
| Associate / Engineer I, ResOps, Synthesis The Associate / Engineer I, ResOps, Synthesis role at Lila Sciences focuses on hands-on materials synthesis and characterization within a high-throughput Research Operations team. This role involves preparing reagents, following SOPs, monitoring workflow performance, and collaborating with scientists and engineers. It requires a Bachelor's degree in a relevant scientific or engineering field and experience in wet lab environments, chemical handling, and materials synthesis. Bonus points are given for experience with specific materials, high-throughput environments, troubleshooting synthesis tools, and automated workflows. | — | 0 |
| Senior Engineer II / Staff Engineer, Electromechanical Technician This role is for an Electromechanical Technician who will be responsible for building, assembling, and troubleshooting custom automated instruments, workcells, and experimental equipment to support frontier research in life and physical sciences. The technician will work from designs provided by engineering, perform mechanical and electrical assembly, participate in system integration and debugging, and provide feedback to engineering teams. The role requires an Associate's degree or equivalent, strong mechanical and electrical skills, familiarity with automation components, and the ability to read technical drawings. | — | 0 |
| Project Manager, Facilities Management Project Manager for Facilities Management at Lila Sciences, responsible for the end-to-end delivery of capital projects including lab buildouts, HVAC upgrades, and new site development. This role supports the company's research operations by managing project lifecycles, vendor relationships, and ensuring projects are delivered safely, on time, and within budget. The role requires experience in facilities capital projects, particularly in technical or laboratory environments, and strong project management skills. | — | 0 |
| Staff DevOps Engineer, Software, Product Operations The Staff/Principal DevOps Engineer will drive the design, implementation, and optimization of infrastructure and delivery platforms, bridging platform engineering, SRE, and DevOps. This role focuses on building scalable, automated systems for fast, reliable software delivery in cloud and Kubernetes environments, collaborating with various engineering and scientific teams. Responsibilities include building Kubernetes systems, CI/CD pipelines, IaC with Terraform, AWS cloud infrastructure, platform tooling, reliability engineering, software supply chain practices, and QA/testing infrastructure, with automation in Python or Go. | — | 0 |
| Chemistry Technical Program Manager This role is for a Technical Program Manager to manage the execution of chemistry experiments within an autonomous science platform. The TPM will own project plans, cross-functional dependencies, and blockers, working closely with the Chemistry domain lead and platform partners (Automation, ML, Engineering). The role focuses on operational rigor and enabling scientific work to happen at speed and scale, rather than directing scientific work itself. | — | 0 |
| SCADA Engineer This role focuses on designing, developing, and implementing SCADA and PLC control systems for automated scientific equipment, integrating robotics, and troubleshooting systems within a laboratory automation context. It is primarily an engineering role focused on industrial control systems, not directly building AI/ML models. | — | 0 |