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 |
|---|---|---|
| Senior ML Scientist, Biological Systems Seeking a Senior ML Scientist to build autonomous life science systems that connect AI reasoning, biological evidence, experimental design, and automated execution. The role involves translating scientific direction into working architectures, workflows, and evaluation methods, with a focus on rigorous reasoning about biological hypotheses, proposing experiments, and incorporating evidence to accelerate discovery. This is a hands-on role at the intersection of ML, biological reasoning, agentic systems, and experimental design. | AgentEval Gate | 9 |
| Principal Scientist / Associate Director, Agentic AI Research for Materials Science Principal Scientist / Associate Director, Agentic AI Research for Materials Science. Owns technical direction for agentic AI systems applied to materials science, setting and executing roadmaps for autonomous agents that plan, run, and interpret materials experiments. This player-coach role leads a small team, bridges foundational research and applied delivery, and ships systems for materials teams. Requires PhD, 5+ years post-PhD experience, track record of building/shipping agentic systems, deep expertise in LLMs, agentic frameworks, tool use, planning, data extraction, multi-modal data, and familiarity with materials science. Python and ML software stack proficiency with strong engineering habits are essential. Experience leading scientists/engineers is required. | AgentData | 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 |
| Co-Op, ML Scientist for Biology Research role focused on developing autonomous-science capabilities in life sciences using AI and automation. The role involves exploring reasoning models, evaluating and reinforcing agentic model behavior, developing benchmark datasets, analyzing multi-modal biological data, and prototyping workflows connecting AI reasoning with scientific feedback. | AgentEval Gate | 8 |
| Head of Software Product Head of Software Product to lead the strategy and development of an "Agentic Superscience" software platform that reinvents the scientific method using AI agents for materials, chemistry, and biology experiments. The role involves building the platform, creating cross-functional integration, delivering user interfaces, and owning the product lifecycle. | Agent | 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 |
| 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 |
| 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 |
| Product Lead, Software/Applied AI Product Lead for an AI-native system of record for scientific discovery, focusing on building tools that accelerate scientific research. The role involves deep domain ownership, full-stack product execution, and cross-functional orchestration between research and engineering teams. Priority areas include data, ML/computational tooling, scientific agents, and harness & evals. Requires strong product management experience in complex B2B SaaS or technical platforms, comfort with ambiguity, and a bias for action. Scientific background and experience building for scientists are preferred. | AgentData | 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |