Lila Sciences
AI Frontier · AI scientific discovery
AI Frontier · AI scientific discovery
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 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.
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 |
|---|---|---|
| Research Scientist, Dexterous Manipulation & Robot Learning Research Scientist role focused on developing autonomous robotic systems for scientific discovery. This involves pioneering manipulation algorithms using foundation models, RL, diffusion, and human guidance. The role also focuses on human-robot interaction, multi-modal perception, and designing autonomous systems with trust calibration. | AgentPost-train | 10 |
| 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 |
| Principal ML Research Engineer Founding engineering leader for a new AI for Cell Biology team, focused on building and operating the platform for autonomous-science capabilities in cellular and tissue biology. This includes domain data, specialist models, serving infrastructure, agentic systems, and evaluation harnesses, integrating deep biological expertise with foundation modeling and agentic systems. The role involves leveraging and extending central AI/Data platforms, co-developing technical direction, and setting engineering standards. | AgentServe | 9 |
| Sr. Principal / Distinguished ML Scientist, Autonomous Science for Cell Biology Founding Sr. Principal / Distinguished ML Scientist to co-develop scientific direction and own the integration of cell-biology research with Lila's central autonomous-science platform, focusing on foundation models and agentic systems for cellular and tissue biology. | AgentPost-train | 9 |
| Research Scientist I/II, AI for Process Engineering Research Scientist role focused on designing and building AI agent-driven systems for AI-accelerated and AI-orchestrated process engineering in industrial applications. The role involves creating agentic infrastructures for planning, simulating, optimizing, and operating complex physical and chemical processes using existing or ML-driven tools. | Agent | 9 |
| Machine Learning Scientist I/II, Scientific Reasoning Machine Learning Scientist focused on Scientific Reasoning, designing novel frameworks for LLM-based reasoning, exploring in-context learning and self-reflection, building scalable model prototypes, and integrating domain knowledge into reasoning systems. | Agent | 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 |
| Co-op, LLMs for Decision Making Research co-op role focused on developing and evaluating LLM-based decision-making methods for experimental campaigns, combining LLM reasoning with Bayesian optimization and active learning. The role involves prototyping, building evaluation frameworks, and integrating methods into a decision-making stack. | AgentEval Gate | 8 |
| Principal / Sr. Principal BioML Scientist Seeking a Principal/Sr. Principal BioML Scientist to co-architect Lila's autonomous-science platform for cell biology, focusing on the applied and translational BioML charter to drive therapeutic impact. This role involves shaping the platform's scientific direction, leading a team of domain-embedded scientists, pioneering applied uses of autonomous-science capabilities, and contributing to the team's evaluation framework. The initial focus is target identification, with future scope broadening across disease areas and therapeutic modalities. | Agent | 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 |
| Scientist I / II, Robotics The role focuses on researching and developing autonomous robotic systems that integrate robotics, machine learning, and systems engineering to create intelligent physical infrastructure for scientific discovery. This involves designing and building production-grade mobile manipulation platforms, advancing robotic perception, and using simulation for optimization, ultimately translating research into real-world autonomous systems. | Agent | 8 |
| Research Scientist I/II, Statistical Mechanics and Dynamics This role focuses on developing and extending simulation approaches (molecular dynamics, Monte Carlo) for materials discovery, integrating them with AI-driven platforms and agentic AI frameworks. The scientist will build scalable simulation workflows, design methods for coupling simulations with experimental observables, and establish reproducible software pipelines. | 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 |
| Research Scientist I/II, Multiscale & Multiphysics Simulations Research Scientist role focused on building AI-driven multiphysics and multiscale simulation capabilities for scientific discovery. The role involves developing high-fidelity digital representations of physical systems and integrating them into autonomous discovery and experimental pipelines, with a focus on agent-driven simulation workflows and closed-loop systems. | AgentData | 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 |