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 |
|---|---|---|
| ML Scientist I / II, Foundation Models for Life Sciences Research Scientist role focused on developing and evaluating foundation models for life sciences applications, including biological sequence design, structure prediction, and multimodal scientific reasoning. The role involves end-to-end ML process contribution, from data generation strategy to feedback loops, and collaboration with experimental scientists. Requires a strong foundation in generative models and ML frameworks, with a PhD or equivalent research experience. | PretrainPost-train | 9 |
| Senior / Principal ML Scientist, Foundation Models for Life Sciences Research Scientist role focused on developing and training large-scale generative foundation models for life sciences applications, including biological sequence design and molecular structure prediction. The role involves end-to-end ML process from problem formulation to integration into a closed-loop discovery engine, with a strong emphasis on research and publications. | PretrainPost-train | 9 |
| AI Residency Program, Material Science (2026 Cohort) Research residency program focused on applying AI/ML to materials science, exploring areas like ML-accelerated simulations, generative models, and agentic science. The role involves designing and executing independent research projects, collaborating with scientists, and contributing to open-science initiatives. While publishing is encouraged, the core focus is on advancing scientific discovery. | Pretrain | 8 |