Top Tech Jobs & Startup Jobs

Design, build, and maintain scalable cloud infrastructure for big data and ML workloads. Manage Kubernetes/GKE, Helm, GPU clusters, CI/CD (GitHub Actions), GitOps (Argo CD), observability (Grafana/Loki/Prometheus/Datadog), and ClearML-based MLOps. Collaborate across DevOps, ML, data, and engineering teams to ensure reliable, secure, and cost-aware production environments.

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.

Lead design and implementation of LLM-based agentic systems to reason over biological data and literature. Build evaluation frameworks, benchmarks, and datasets; analyze agent behavior and failure modes; collaborate with immunologists and product teams to turn prototypes into production-grade AI tools for therapeutic discovery.