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Develop and deploy machine learning models and active-learning workflows for complex fluids and soft-matter formulations. Connect composition, microstructure, processing, and bulk fluid properties, incorporate mesoscale/continuum simulation outputs, partner with experimental teams, and communicate model behavior and recommendations to cross-functional collaborators to accelerate formulation discovery.

The Senior Software Engineer will develop systems for scientific workflows, APIs, and applications, collaborating across teams to enhance performance and reliability in production environments.

Build and apply machine learning models and active-learning workflows for polymers and soft materials. Connect formulation, processing history, morphology, and simulations to predict mechanical, thermal, and processing-sensitive properties. Partner with experimental teams to align models with lab throughput, interpret uncertainty, and prioritize formulation decisions.

The Staff Engineer will lead technical direction on data infrastructure, focusing on ingestion frameworks, storage architecture, and orchestration to support scientific workflows. Responsibilities include mentoring, ensuring reliability, and collaborating with cross-functional teams to establish coding standards and data integrity.

Drive planning, execution, and delivery of therapeutic programs, managing internal teams and partner relationships while maintaining timelines and resources.

Lead Origins' investor and institutional partnerships by opening and owning relationships with deep-tech and life-sciences investors. Build and manage a prioritized partner pipeline, co-lead engagements to close strategic partnerships, represent Lila externally, steward long-term partner commitments, and contribute to partnership structuring and positioning.

The Technical Program Manager will lead AI data generation projects, ensuring consistent quality and efficient execution while communicating across teams.

Lead technology development programs, integrating research with execution, ensuring scalability, data integrity, and effective communication across teams.

Lead structuring and financial modeling for complex multi-year commercial partnerships and fundraising. Own deal execution cadence, coordinate diligence and contract negotiation, support revenue recognition (ASC 606), build forecasts and cap table/round models, prepare investor materials, and create scalable tools to accelerate deal velocity. Act as cross-functional partner to Legal, Commercial, Science, Accounting, and senior leadership.

Serve as the primary finance business partner for AI/ML and Infrastructure teams, building driver-based models, rolling forecasts, KPI dashboards, and cost models for compute, GPU, LLM API, data storage, and pipelines. Support planning, fundraising diligence, cash runway scenarios, headcount and capacity planning, and FP&A tooling integrations while partnering with Accounting, IT, and Procurement to improve cost allocation and reporting.