Jobs at Lila Sciences

Lead research on multi-modal reasoning systems, develop training strategies, build datasets, and collaborate with scientists to produce scientific superintelligence.

The Robotics Engineer will develop ROS2 nodes, integrate robotic systems, and build simulations, ensuring reliable operation in a scientific facility.

The Machine Learning Engineer will design and implement ML pipelines and productionize models, collaborating with scientists and engineers on scalable systems.

Lead sourcing, evaluating, and commercializing physical-science opportunities (materials, chemistry, energy). Build market and deal models, run primary/secondary research, define specs and commercial theses, and shape partnership/deal structures to launch ventures.

Partner with the CFO to prioritize and advance high-impact finance, people, operations, and strategy work. Shape operating cadence, prepare executive materials, track CFO-owned projects to closure, coordinate cross-functional stakeholders, resolve stalled work, and draft decision notes and executive communications to maintain momentum and clarity across the CFO portfolio.

Design and build high-performance UI and APIs, manage database architecture, optimize systems for reliability and performance, and collaborate cross-functionally in a scientific context.

Design and operate GPU/accelerator infrastructure and inference platforms for large ML models. Build Kubernetes-based scheduling, multi-tenant GPU sharing, autoscaling, model serving, IaC (Terraform/Helm) for EKS, CI/CD for model artifacts, observability for latency and throughput, and cost/capacity optimization across heterogeneous accelerators.

Use first-principles and atomistic simulations plus scientific ML and agentic AI to accelerate materials discovery and optimization. Perform electronic-structure and phonon calculations, connect simulation to experiment, build predictive models, generate actionable hypotheses, and collaborate with ML, software, and experimental teams to deploy autonomous discovery workflows.

Maintain, troubleshoot, and improve deployed bench-scale robotics and mechanical systems used in scientific automation. Diagnose cross-domain failures, design durable fixes in SolidWorks, validate prototypes, manage ECOs/PDM, implement preventive maintenance, track reliability metrics, and coordinate vendors and cross-functional teams to improve uptime and lifecycle performance.

Develop and integrate ML models for RNA and DNA sequence design (UTRs, CDS, promoters/enhancers). Create generative, prediction, and active-learning methods; partner with experimental teams to design assays and validate sequences; investigate biological mechanisms and translate insights into improved models and platform capabilities; publish or share research externally.

Design, develop, and deploy scalable laboratory automation and workcells. Partner with scientists, hardware, controls, and software teams to translate experimental goals into robust automated workflows, implement machine vision and sensor-based detection, perform FMEAs, troubleshoot and optimize systems, and lead technical teams to ensure safety, reproducibility, and regulatory alignment.

Lead go-to-market and launches for Lila's physical-science platform by crafting positioning, messaging, and collateral; enable sales and partners with technical content; gather market intelligence; represent Lila at events and with strategic partners to drive adoption in energy, chemicals, and advanced materials sectors.

Lead training, adaptation, evaluation, and productionization of Lila's AI models for scientific customer workflows. Build evaluation loops, design experiments, debug model failures, integrate model improvements into product workflows, and create reusable tooling for model adaptation, evaluation, and deployment while collaborating across research and software teams.

As a Mechatronics Engineer II, you'll design and develop electromechanical systems, write control software, develop HMI interfaces, and collaborate with cross-functional teams.

Lead go-to-market and messaging for Lila's life science product portfolio (RNA/DNA design, medicinal chemistry). Define positioning, launch plans, and evidence strategies; create technical content and case studies; enable sales and customer success; and align product, commercial, and brand teams to drive adoption and measurable business impact.

In this role, you will lead the Talent Acquisition team, developing strategies to attract top talent in AI, Software, and Science fields, while improving recruiting processes and metrics.

Lead enterprise B2B marketing to accelerate commercial growth and partner-driven adoption. Build demand engines, ABM, partner GTM, segment positioning, sales enablement, content strategy, and measurable marketing-to-pipeline reporting.

Coordinate rollout and administration of lifecycle systems (PLM/QMS), support deployment and commissioning workflows, maintain operational documentation and asset lifecycle visibility, and drive cross‑functional execution for AISF platform deployments and the Blueprint systems program.

Lead DEL-based hit identification and complementary screening efforts, develop and optimize biochemical and biophysical assays, operationalize automation-enabled screening workflows, secure and design fit-for-purpose protein constructs, and drive hit validation and progression into hit-to-lead through cross-functional collaboration with chemistry, computational, and automation teams.

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