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Lead the engineering team for Lila's data platform, focusing on architecture, delivery, and team management, while ensuring scalability and performance of data management systems.

Design and build integrations for AI-driven applications, develop databases, optimize performance, collaborate with scientists, and drive large-scale systems deployment.

Lead and build a test automation platform and quality engineering practice for AI-driven scientific and lab automation products. Architect CI/CD test execution, AI-driven test tooling, eval pipelines, and lab QC frameworks (ALCOA+). Hire and lead a small platform team, set standards and metrics, drive platform adoption, and deliver measurable improvements in signal, flake rate, and time-to-production.

Own the roadmap and delivery of fine-tuned Lila model variants and the prioritized backlog of training-capability packages (RL environments and SFT data). Define required training data, evals, release criteria, and coordinate handoffs to app and platform teams. Partner closely with AI Research to translate customer-driven capability requests into executable requirements and integrate into sprint planning to track delivery and unblock dependencies.

As a Forward Deployed Engineer, you will build and adapt computational tools for scientific data, create data pipelines, and interface directly with clients to deliver impactful AI-driven solutions.

The Staff Forward Deployed Engineer role involves deploying AI-powered engineering solutions in chemistry and materials science, focusing on data workflows and user interfaces to transform scientific discoveries.

As a Senior Software Engineer, focus on backend development and AI integration for scientific applications, building systems that leverage advanced AI techniques.