Jobs at Immunai, Inc.

Design, build, and maintain scalable pipelines for heterogeneous biological, genomic, single-cell, and clinical data. Enhance data warehouse capabilities, productize scientific algorithms, and develop AI-native data infrastructure. Establish governance for data quality, security, and privacy; collaborate with data scientists and AI/ML engineers; mentor engineers in AI-assisted development; and maintain technical documentation.

Lead architecture and scaling of Immunai's data and AI platforms. Build end-to-end MLOps systems, manage GPU infrastructure and data stack (BigQuery, object storage, orchestration), improve developer experience with self-service platforms, mentor and manage a small ML infra team, and partner on security, compliance, and reliability.

Lead AI research and engineering for multimodal foundation models and reasoning/agent systems. Manage and grow teams of researchers, computational biologists, and engineers; own AI roadmap, model design, evaluation, and productionization. Build scalable training/serving pipelines, champion reproducibility, MLOps, CI/CD and cost-efficient GPU/TPU usage. Translate biological questions into impactful AI projects and align cross-functionally.

Hands-on research role developing and training transformer-based and related deep learning models for large-scale single-cell RNA data. Design experiments, perform ablations, analyze results, and collaborate with engineers, data scientists, and biologists to productionize foundation-model methods and ML infrastructure.