Lead Machine Learning Engineer

* AWAITING FINAL AWARD*

At Nyla, we are proud to deliver solutions that make a real impact! We are seeking an experienced, visionary Lead Machine Learning Engineer to guide our team and orchestrate complex machine learning workloads at a fundamental level.

In this role, you will lead the design and implementation of production ML infrastructure, mentor technical talent, drive complex prompt engineering, and direct Lang Graph multi-agent orchestration. You’ll oversee automated Agent Test and Evaluation (T&E) harnesses while managing model life cycles within isolated data sandboxes using MLflow.

You will be building "enterprise capabilities" within the Department of War's authoritative data analytics platform (War Data Platform) for the Chief Digital and AI Officer (DoW CDAO). If you are passionate about leading AI innovation, establishing statistical verification gates, and pushing technology boundaries, we’d love to connect!

Key Responsibilities:

• Architect and lead the implementation of infrastructure for training, validating, and deploying large-scale machine learning models into production.

  • Technical lead for advanced prompt engineering frameworks and multi-agent systems via Lang Graph to support automated analytical tasks.

  • Oversee model life cycles within isolated data sandboxes using MLflow, establishing enterprise bias mitigation and statistical verification gates.

  • Provide technical mentorship and guidance to engineering team members to ensure continuous innovation and technical excellence.

The annual base salary range for this role is $220,000-$250,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.