Staff ML Engineer: Agentic AI & Geospatial Systems

Scale AI, Inc.; Denver (CO); On-site; USD 274,000 - 343,000; Full time

Benefits offered by this job

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Job summary

Scale AI, Inc. is seeking a Staff Machine Learning Engineer to lead the design and deployment of agentic AI systems for real-world government environments. You will work on the Public Sector team at the intersection of agentic ML, systems engineering, and applied research to build foundational infrastructure enabling AI to reason, plan, and act at national scale.

You will partner with U.S. defense and intelligence agencies, own core architectures, and mentor teams while driving production

Qualifications

• 8+ years of experience building and deploying applied ML systems in production environments.
• Deep experience with agentic systems, autonomous workflows, or ML systems that reason and act over multiple steps.
• Strong background in ML systems engineering, including model serving, pipelines, monitoring, and evaluation.

Responsibilities

• Lead the architecture and implementation of agentic AI systems, with a focus on long-horizon reasoning, orchestration, and system-level reliability.
• Build and scale agents that perform complex geospatial reasoning, including interpreting, generating, and reasoning over maps and spatial data.
• Design and improve retrieval systems across large collections of static and semi-structured documents, enabling agents to surface high-signal context efficiently.
• Fine-tune and evaluate embedding models to improve recall and precision for mission-critical datasets.
• Design memory systems that allow agents to persist state, operate over long contexts, and learn from prior interactions.
• Own and evolve shared agentic infrastructure and core libraries, enabling reuse across teams, products, and Public Sector contracts.
• Define evaluation strategies for agentic systems, including robustness testing, failure-mode analysis, and regression testing in production environments.
• Partner closely with engineering managers, product leaders, and researchers to scope high-impact initiatives and unblock execution across teams.
• Serve as a technical mentor and multiplier-raising the bar for system design, ML rigor, and production readiness across the organization.
• Comfortable with light travel (approximately 10%) for customer interaction and team needs.

Skills

Agentic ML systems

ML systems engineering

Python (PyTorch)

Geospatial reasoning

Retrieval systems

System design

Mentoring

Security clearance TS

Tools

Model serving

Pipelines

Monitoring

Evaluation

Job description

Scale AI, Inc. is seeking a Staff Machine Learning Engineer to lead the design and deployment of agentic AI systems for real-world government environments. You will work on the Public Sector team at the intersection of agentic ML, systems engineering, and applied research to build foundational infrastructure enabling AI to reason, plan, and act at national scale.

You will partner with U.S. defense and intelligence agencies, own core architectures, and mentor teams while driving production