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 |
|---|---|---|
| Principal, Machine Learning Engineer Principal ML Engineer at Lila Sciences, focusing on building and scaling ML infrastructure for generative models in medicine. The role involves owning end-to-end systems from training pipelines and distributed compute to model deployment and integration into a closed-loop discovery engine. Key responsibilities include designing and optimizing large-scale training pipelines, owning production ML systems, architecting ML infrastructure, driving the "Lab-in-the-Loop" lifecycle, and defining ML engineering standards. The role requires deep expertise in distributed training, production ML systems, and strong software engineering fundamentals, with a focus on generative models for biological data. | DataServe | 9 |
| Staff / Principal Research Engineer, AI Safety, Technical Mitigations This role focuses on building and implementing AI safety strategies and systems for the safe deployment of scientific capabilities, involving technical safety strategy development, safety-focused evaluations, and a safety research agenda. It requires experience in building safety systems, classifiers, or post-training for frontier-class problems and scalable production systems. | Post-trainEval Gate | 9 |
| Research Engineer, Frontier Capabilities Research Engineer focused on training LLMs for long-horizon scientific discovery tasks, spanning the post-training stack from SFT to asynchronous RL on agentic harnesses. The role involves designing, building, and optimizing systems for scaling post-training, sharpening reasoning, and enabling compute-intensive agentic-harness training. Specific work streams include GPU optimization, stack and infrastructure development, model experimentation, evaluations and benchmarks, and agentic capabilities research. | Post-trainAgent | 9 |
| Senior / Engineer II, AI Lab Research Engineer This role focuses on building agentic AI systems for scientific discovery, including workflow/code generation and evaluation mechanisms. It requires expertise in LLMs, agent architectures, and ML frameworks, with a strong emphasis on adapting these to scientific domains. Experience with long-horizon agents, RL, and evaluation design is highly valued. | AgentEval Gate | 9 |
| Senior / Staff Machine Learning Engineer, Applied AI Senior/Staff Machine Learning Engineer at Lila Sciences focused on improving AI models for customer-specific scientific needs by training, evaluating, and deploying LLMs and multi-modal models. The role bridges research and engineering, translating frontier capabilities into reliable, production-quality systems and workflows. | Post-trainAgent | 8 |
| Machine Learning Engineer II / Senior Machine Learning Engineer I, Physical Sciences Machine Learning Engineer role focused on building and operating end-to-end, scalable ML workflows for scientific use cases in materials, chemistry, and physical sciences. The role involves designing, implementing, and maintaining ML pipelines, productionizing models and services, and collaborating with domain scientists and platform engineers to translate research insights into scalable systems. Experience with model deployment in production, including LLMs and multimodal models, is required. | ServeAgent | 8 |
| Senior Director, Software Development, Test Automation Senior Director of Software Development, Test Automation Systems to architect and build Lila's test automation platform and quality engineering practice for AI-powered scientific and lab automation products. This role owns the test automation system, CI/CD test infrastructure, AI-driven test tooling, and the eval discipline. Responsibilities include designing and building the test automation platform, making build-vs-buy decisions, modernizing CI/CD, driving AI-driven test automation, defining quality metrics, and standing up the QC framework for lab automation. The role also involves leading and coaching across the engineering org and building a team. | AgentEval Gate | 7 |
| Co-Op, Autonomous SEM Seeking a Co-Op, Autonomous SEM to join the Materials Science team, focusing on developing autonomous SEM workflows for characterization. This role involves building practical autonomy for scientific instruments, including navigation logic, image quality evaluation, and connecting imaging decisions to downstream analysis and ML training. | AgentData | 7 |
| Co-Op, Automation The role involves building data pipelines for real-time anomaly detection, training detection models to identify deviations from expected operating envelopes, and developing alerting workflows for operators. This is for a scientific superintelligence platform in life, chemistry, and materials science. | AgentData | 7 |
| Director/Senior Director, Molecular Discovery Director/Senior Director, Molecular Discovery at Lila Sciences responsible for the output, quality, and operational health of an autonomous science platform that generates and tests hypotheses for small-molecule drug candidates. This role requires deep fluency in medicinal chemistry principles and AI/ML-driven molecular design, acting as a key interface between computational predictions and experimental results to advance compounds toward the clinic. | Ship | 7 |
| Co-op, Machine Learning for Digital Twins The role involves building, training, and evaluating ML models for physical and experimental systems, focusing on digital twins, operator learning, surrogate modeling, and uncertainty quantification. The work directly influences the design and operation of AI Science Facilities. | Post-train | 7 |
| Co-Op, Data Extraction The role involves contributing to AI systems for knowledge extraction from scientific literature and patents. Responsibilities include fine-tuning and evaluating language/multimodal models, building data structuring pipelines, running extraction pipelines, analyzing results, and documenting findings. The goal is to ship work that integrates into production systems. | Post-trainServe | 7 |
| Co-Op, AI Security Co-Op role focused on AI security within the IT & Security team, evaluating, hardening, and monitoring AI tools, agents, and automation pipelines. Responsibilities include identifying vulnerabilities (prompt injection, model poisoning), threat modeling, reviewing code, researching threats, and developing security tests for AI models and agents. | Agent | 7 |
| Senior Software Engineer, App The role focuses on designing and building the AI-native platform, including agents, interfaces, and platform integrations, that enables researchers to seamlessly collaborate with AI. This involves developing UI and APIs, managing diverse data systems (including Vector DBs), driving full-stack application development, optimizing performance and reliability, and leveraging cloud infrastructure. The team works at the intersection of AI and science, connecting AI to lab workflows and ML pipelines. | AgentServe | 7 |
| Sr Principal/Principal Software Engineer, App Sr Principal/Principal Software Engineer to design agents, interfaces, and platform integrations for researchers to collaborate with AI. The role involves building UI/APIs, database architecture, application development, performance optimization, and cloud infrastructure, with a focus on integrating AI into scientific workflows. | AgentServe | 7 |
| Contractor, Robotics Engineer Robotics Engineer contractor to integrate, tune, and debug physical hardware and simulation systems for inter- and intra-cell transport in an AI-driven scientific facility. The role involves ROS2 development, motion planning, and hardware integration, with deliverables gating upstream science projects. | Ship | 7 |
| Staff ML Engineer, Life Sciences AI Staff ML Engineer role focused on building and operating the software infrastructure for AI-driven protein design and engineering pipelines, connecting generative models, scientific data, and experimental workflows. This role emphasizes scalable production systems, pipeline orchestration, data flow, and integrating new ML tools into commercial deliverables. | Serve | 7 |
| Vice President, Engineering VP of Engineering to build and scale a unified platform for autonomous experimentation in AI Science Factories, integrating AI into lab science, automation, hardware, and systems engineering. Focus on strategy, execution, and talent for global expansion. | Ship | 7 |
| Principal Engineer, AI Security Principal Engineer, AI Security role focused on defining and driving the technical strategy for securing AI usage across Lila's enterprise. This role partners with IT and business teams to ensure safe and compliant adoption of AI tools and platforms, focusing on protecting sensitive data, intellectual property, and scientific workflows. Responsibilities include defining security controls and guardrails for AI tools, designing AI gateway and agentic gateway security, conducting red teaming and adversarial testing, developing data protection controls, integrating AI security into enterprise security layers, threat modeling, vendor assessment, and incident response. | Agent | 7 |
| Director, Data Platform Engineering Director of Data Platform Engineering to lead a team responsible for Lila's product data platform, owning the end-to-end architecture, delivery, reliability, and developer/data scientist experience. The platform supports analytical and ML workloads, including AI inference workflows. The role involves team leadership, technical strategy, stakeholder management, and driving innovative solutions for data interfaces, exploration, query, analytics, and ML/inference at scale. | DataServe | 7 |
| Senior Software Engineer, ML Research Senior Software Engineer to build and maintain ML libraries, tools, and research infrastructure, focusing on performance, security, and MLOps. The role involves designing libraries, CI/CD pipelines, and supporting compute environments, with a strong emphasis on software engineering best practices within an ML research context. | Data | 7 |
| Senior Software Engineer, Applied AI Senior Software Engineer to join Applied AI group to build the next generation of their AI-driven scientific platform. Role involves designing and optimizing backend systems, data pipelines, and AI integrations for intelligent, data-driven applications, working at the intersection of backend engineering and machine learning. Focus on scaling and supporting applied AI techniques like RAG, agentic AI, and LLM integration, turning research into production-grade systems. | AgentServe | 7 |
| 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 |
| 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 |
| 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 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |