Staff ML Engineer

• 10+ years of professional software engineering experience, including 8+ years building distributed, production-grade backend systems.

• 3+ years of hands-on experience with LLM-based systems, RAG architectures, or applied ML infrastructure.

• Demonstrated experience operating services on Kubernetes (vanilla K8s, OpenShift, EKS, GKE, or similar) at production scale, including GPU-backed workloads.

• Track record of technical leadership: driving architecture decisions, leading crossteam initiatives, and mentoring engineers at Staff/Senior level.

• Bachelor’s degree in Computer Science, Engineering, or a related technical field required.

• Master’s degree or PhD in Computer Science, Machine Learning, or a related field preferred.

• Operate with Staff-level ownership: define the “what” and “how” for a major component of Gaia Emblem, not just execute tickets.

• Balance long-term architectural vision with pragmatic, incremental delivery.

• Act as a force multiplier — raise the technical bar of the team through design reviews, documentation, and mentorship.

• Communicate complex technical trade-offs clearly to both engineering and nonengineering stakeholders.

• Be hands-on: this role is expected to write and review production code regularly, not purely architect from a distance.

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