Applied Machine Learning Engineer
Posted 13 Feb 2026
Advertised as “Staff Applied Machine Learning Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 10+ yrs
- Management level
- Individual contributor
- Employment
- Remote
No salary listed for this role.
Field of studyComputer Science, Machine learning, Natural Language Processing (or related)
Study levelBachelor's or higher
Study levelDoctorate
About Legion
Let’s be real, AI isn’t magic; Legion was built to move beyond AI hype—delivering secure, reliable systems that work alongside the people tackling the world’s most critical challenges.
Born from a Department of Defense partnership and trusted by leaders across government and enterprise, Legion embeds intelligence inside complex systems, unlocking data, accelerating human workflows, and strengthening mission-critical systems. We don’t replace workflows—we optimize them, ensuring quality, efficiency, and reliability inside the platforms our partners already use.
With world-class collaborators like Palantir, Nvidia, HPE, and Oracle, we’re building intelligent infrastructure that enhances human capability and drives impact at the edge and across a range of enterprises.
We’re looking for bold thinkers and doers to join us in shaping the future of AI that’s secure, grounded, and built to work.
Staff Applied Machine Learning Engineer (Remote USA)
***This role requires expert level in development and deployment of machine learning models***
***US Citizenship or Greencard (Permanent US Residency) is required due to US Government contract requirements***
***You must be domiciled in the U.S. (must live permanently and maintain home address in the US)***
***As a step in the application process you will be required to provide legally authorized Identification to show verification of eligibility through third party provider CLEAR ID***
About us:
Let’s be real, AI isn’t magic; Legion was built to move beyond AI hype—delivering secure, reliable systems that work alongside the people tackling the world’s most critical challenges.
Born from a Department of Defense partnership and trusted by leaders across government and enterprise, Legion embeds intelligence inside complex systems, unlocking data, accelerating human workflows, and strengthening mission-critical systems. We don’t replace workflows—we optimize them, ensuring quality, efficiency, and reliability inside the platforms our partners already use.
With world-class collaborators like Palantir, Nvidia, HPE, and Oracle, we’re building intelligent infrastructure that enhances human capability and drives impact at the edge and across a range of enterprises.
We’re looking for bold thinkers and doers to join us in shaping the future of AI that’s secure, grounded, and built to work.
Job Summary:
We’re looking for a Staff Machine Learning Engineer to architect and build the intelligence layer behind our agentic AI platform, with a focus on search, navigation, and task-oriented user experiences. In this role, you’ll design and ship ML systems that enable intelligent retrieval, reasoning, planning, tool use, and adaptive navigation across the product. You’ll work across NLP, ML, knowledge representations, and production system design to create scalable, reliable, and high-impact AI experiences.