Lead ML Engineer at KBR
El Segundo, CA 90245, USA -
Full Time


Start Date

Immediate

Expiry Date

28 Nov, 25

Salary

190000.0

Posted On

28 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Nlp, Consideration, Machine Learning

Industry

Information Technology/IT

Description

BELONG. CONNECT. GROW. WITH KBR!

KBR’s National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country’s most critical role – protecting our national security.
KBR is seeking a Lead ML Engineer to join our team onsite in El Segundo, CA, Colorado Springs, CO or remote.
KBR (formerly LinQuest) is the prime contractor on the MSEIT contract. By applying to this position, you are in consideration for KBR employment. However, you also have the option to be hired by one of our subcontractor teammates.
The MILSATCOM Systems Engineering, Integration, and Test (MSEIT) effort provides leading edge Systems Engineering & Integration (SE&I) for the US Space Force’s Space Systems Center (SSC). We support the Space Force’s acquisition of state-of-the-art satellite communications systems, providing global secure, survivable, and protected communications for our nation’s warfighters. We seek technical individuals who will thrive in a highly collaborative work environment of small teams, using the most modern tools and methodologies to tackle the challenges of integrating complex space and ground communications systems.

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.
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