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 / Principal Scientist, AI for Protein Engineering Senior/Principal Scientist role focused on AI for protein engineering, specifically antibody design and engineering. The role involves developing and executing design workflows, translating biological requirements into ML problems, adapting state-of-the-art AI methods, and collaborating with experimental scientists for validation and active learning loops. The position requires a PhD and strong expertise in both ML and protein biology, with a focus on delivering wet-lab validated biomolecules. | DataPost-train | 9 |
| Scientist I/II, mRNA Translation Dynamics The Scientist I/II, mRNA Translation Dynamics role at Lila Sciences focuses on developing experimental workflows and generating biological datasets that will be used to train machine learning models. The role involves designing and executing high-throughput screening campaigns, optimizing assays, and collaborating with computational and ML teams to define data requirements and validate model predictions. The goal is to integrate synthetic biology, high-throughput experimentation, and intelligent automation to advance biological discovery. |
| Data |
| 5 |