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Lead ML Engineer

KBR

$122,000 - $190,000
Aug 27, 2025
Colorado Springs, CO, USA • El Segundo, CA, USA
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KBR is seeking a Lead ML Engineer to join their National Security Solutions team to support the US Space Force's acquisition of state-of-the-art satellite communications systems, providing global secure, survivable, and protected communications for the nation's warfighters.

Requirements

  • Demonstrated expertise in designing and deploying advanced machine learning systems in production environments
  • 15+ years’ experience in software engineering, including at least 2 years focused on machine learning and natural language processing (NLP)
  • Strong proficiency in Python for data processing, model development, and automation
  • Experience with LangChain and/or LlamaIndex for building LLM-powered applications
  • Hands-on experience in prompt engineering and LLM optimization
  • Skilled in integrating knowledge graphs into LLM contexts for enhanced reasoning and retrieval
  • Experience fine-tuning and evaluating model outputs for quality, bias, explainability, and performance

Responsibilities

  • Drive Cross-Functional Program Execution: Lead complex, mission-critical software or ML programs across engineering, operations, and stakeholder teams, ensuring delivery aligns with strategic business goals.
  • Hybrid Project and Agile Management: Apply a hybrid of traditional PMP and Agile/Scrum methodologies to manage project timelines, risks, and deliverables using tools like JIRA, Confluence, and MS Planner.
  • Stakeholder Engagement & Requirements Management: Define and manage requirements while translating complex technical needs into clear, strategic outcomes for both technical and non-technical stakeholders.
  • Risk & Dependency Management: Identify, track, and mitigate risks across multiple concurrent workstreams, adjusting priorities dynamically to ensure timely delivery.
  • Mentorship & Leadership: Mentor cross-functional teams, lead prioritization workshops, and foster collaboration in high-pressure environments.
  • Demonstrated expertise in designing and deploying advanced machine learning systems in production environments
  • Experience with LangChain and/or LlamaIndex for building LLM-powered applications

Other

  • Ability to obtain and maintain a Secret security clearance is required for this position
  • Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field
  • Demonstrated leadership and communication skills, with experience mentoring technical teams
  • Minimal travel requirements
  • On-site or remote work location