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 |
|---|---|---|
| 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 / 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 |
| 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 |