About the Role
Northrop Grumman is hiring a Sr. Staff AI Software Engineer to join their team in a on-site capacity. More jobs at Northrop Grumman and this is a senior-level position for an experienced engineer who can drive technical decisions and mentor others on the team. If you’re looking to grow your career with a team that invests in its engineers, this could be a great next step.
Joining Northrop Grumman as a AI / Machine Learning Engineer means working alongside experienced peers on problems that matter to the business, with the kind of scope and ownership that helps a career move forward. This is a full-time position with the stability and benefits that come with a permanent role.
Role Overview
As a senior contributor, you’ll play a key role in the team’s day-to-day engineering work. Typical responsibilities for a AI / Machine Learning Engineer at the senior level include:
- design, build, and deploy machine learning models and AI-driven features into production
- collaborate with data scientists and engineers to build scalable ML infrastructure and pipelines
- evaluate model performance and iterate based on real-world feedback and metrics
- stay current with advances in AI/ML and bring practical applications back to the team
Beyond the day-to-day, you’ll be expected to communicate clearly with teammates and stakeholders, document your work so others can build on it, and continuously look for ways to improve how the team ships software.
Requirements & Qualifications
This is a senior role, so candidates should bring deep, demonstrated expertise:
- experience building and deploying machine learning models in production environments
- strong foundation in Python and common ML/AI frameworks
- understanding of the full ML lifecycle, from data prep through monitoring
- curiosity about applied AI and a track record of shipping real features
- hands-on experience with AI
Candidates who don’t check every box are still encouraged to apply — Northrop Grumman values demonstrated ability and growth potential alongside a resume that matches every requirement exactly.
Location & Work Setup
This role is based in United States. This is an on-site position, with the team working together in person to collaborate closely on a daily basis. Specific work arrangements and any relocation details will be confirmed during the interview process. As with any on-site role, expect regular collaboration with teammates through a mix of synchronous meetings and asynchronous updates, so strong written and verbal communication matters as much as technical skill.
How to Apply
Ready to take the next step? Submit your application through Northrop Grumman’s careers page, including an up-to-date resume highlighting relevant experience for this AI / Machine Learning Engineer role. A short cover note on why this particular team and role interest you can help your application stand out. View all AI / Machine Learning Engineer openings if you’d like to compare this opportunity with similar openings.
