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 |
|---|---|---|
| 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 |
| 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 |