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 |
|---|---|---|
| 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 |
| Principal, Machine Learning Engineer Principal ML Engineer at Lila Sciences, focusing on building and scaling ML infrastructure for generative models in medicine. The role involves owning end-to-end systems from training pipelines and distributed compute to model deployment and integration into a closed-loop discovery engine. Key responsibilities include designing and optimizing large-scale training pipelines, owning production ML systems, architecting ML infrastructure, driving the "Lab-in-the-Loop" lifecycle, and defining ML engineering standards. The role requires deep expertise in distributed training, production ML systems, and strong software engineering fundamentals, with a focus on generative models for biological data. |
| DataServe |
| 9 |
| Director, Data Platform Engineering Director of Data Platform Engineering to lead a team responsible for Lila's product data platform, owning the end-to-end architecture, delivery, reliability, and developer/data scientist experience. The platform supports analytical and ML workloads, including AI inference workflows. The role involves team leadership, technical strategy, stakeholder management, and driving innovative solutions for data interfaces, exploration, query, analytics, and ML/inference at scale. | DataServe | 7 |
| Director of Product, Life Sciences Director of Product, Life Sciences at Lila Sciences, responsible for shaping the future of therapeutic R&D by leading the strategy, roadmap, and execution for products and platforms at the intersection of drug discovery, chemical synthesis, and scientific intelligence. This role drives AI capabilities towards breakthrough solutions, translates strategic objectives into development campaigns, and leads cross-functional teams. | Data | 7 |
| Senior Software Engineer, ML Research Senior Software Engineer to build and maintain ML libraries, tools, and research infrastructure, focusing on performance, security, and MLOps. The role involves designing libraries, CI/CD pipelines, and supporting compute environments, with a strong emphasis on software engineering best practices within an ML research context. | Data | 7 |
| Scientist, Epitaxial Thin Film Synthesis The Scientist, Epitaxial Thin Film Synthesis will lead the synthesis of high-quality epitaxial thin films for novel quantum materials. This role involves designing growth and characterization protocols for an autonomous science platform, partnering with ML scientists, and contributing to predictive material design. The scientist will grow and analyze thin films, design and measure electronic transport devices, and maintain equipment. | Data | 5 |
| Staff Engineer, Data Platform Staff Engineer to set technical direction for core data infrastructure (ingestion, storage, orchestration, interfaces) supporting scientific discovery and ML research. Role involves designing and evolving data platform architecture, building reliable pipelines, ensuring observability, defining data models, and providing technical leadership and mentorship. | Data | 5 |
| Principal Software Engineer, Data Principal Software Engineer with backend experience to join the Data Platform Team. This role will collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis. The team builds and supports the data systems that underpin Lila's AI Science Factory™, handling real-time ingestion, large-scale analytical storage, workflow orchestration, and self-service tools for scientists, engineers, and ML teams. | Data | 5 |
| Scientist II/Senior Characterization Scientist, Condensed Matter The role focuses on developing and implementing advanced characterization workflows for magnetic and superconducting materials, integrating experimental science, robotics, and AI to guide materials discovery within an autonomous science platform. The scientist will design and execute high-throughput experiments, analyze data, and collaborate with ML scientists to build scalable workflows. | Data | 5 |
| Senior Software Engineer, Data Senior Software Engineer on the Data Platform Team building and supporting data systems for an AI Science Factory. The role involves designing and building APIs, database architecture, optimizing performance, and leveraging cloud infrastructure. Collaboration with ML researchers and scientists is key. | Data | 5 |
| Senior Simulation Engineer I/II, Robotics This role focuses on building the foundational simulation and robotic infrastructure for an AI Science Factory, involving scene authoring, automated data generation pipelines, physics and sensor fidelity, and sim-to-real transfer workflows. The engineer will work with NVIDIA Isaac Sim, Omniverse Kit, and USD to create reusable simulation libraries and tooling. | Data | 5 |
| Scientist I/II, Drug Delivery Chemistry Scientist role focused on designing and developing a high throughput chemical synthesis platform for drug delivery applications, optimizing novel molecules, and building structure-activity relationships. The role involves collaboration with chemistry, engineering, machine learning, and data science teams to enable closed-loop optimization of organic compounds. | Data | 5 |
| 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 |
| Senior Research Associate / Associate Scientist, Targeted LNP Delivery Seeking a Senior Research Associate/Associate Scientist to focus on formulating, functionalizing, and characterizing targeted lipid nanoparticles (LNPs) for drug delivery. The role involves hands-on expertise in LNP formulation, bioconjugation, protein characterization, and automation to enable a high-throughput closed-loop screening cascade. Collaboration with chemistry, machine learning, and data science teams is key to developing next-generation tools for targeted nucleic acid delivery. | Data | 5 |
| Director, Nucleic Acid Delivery This role leads the discovery and engineering of next-generation nucleic acid delivery systems using the Lila Sciences AI platform and AI Science Factory. The Director will guide a team in integrating AI-driven hypothesis generation, robotics-enabled experimentation, and biological insight to accelerate discovery of transformative delivery technologies, focusing on biological targeting and functional delivery. | Data | 5 |