{"id":3882485,"url":"https://alion.io/job/northrop-grumman-staff-aiml-software-engineer-level-5","title":"Staff AI/ML Software Engineer - Level 5","company":{"id":12494,"name":"Northrop Grumman","domain":"northropgrumman.com","url":"https://alion.io/company/northropgrumman","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":468,"ghost_share":0.006,"stale_share":0.75,"repost_share":0.024,"time_to_fill_p50_days":25,"computed_at":"2026-11-09T06:03:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":194700,"max":292100,"currency":"USD","period":"year","gross":null,"usd_annual":292100},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":true,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Computer Vision","optional":false},{"name":"GCP","optional":false},{"name":"Hadoop","optional":false},{"name":"Keras","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"TensorFlow","optional":false},{"name":"A/B Testing","optional":true}],"status":"live","first_seen_at":"2026-11-06T18:33:03Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-10T01:48:03Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"RELOCATION ASSISTANCE: Relocation assistance may be availableCLEARANCE REQUIRED FOR START: YesCLEARANCE TYPE: SecretTRAVEL: Yes, 10% of the TimeDescription\nAt Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.Northrop Grumman Space Systems, Multi-Domain Operations, and Missile Defense Integration Business Unit (BU) has an exciting career opportunity for a Staff AI Software Engineer - TASD AI/ML Lead to guide and drive our artificial intelligence and machine learning initiatives (AI/ML), at Schriever Space Force Base in Colorado Springs, Colorado.\nPosition Overview:\nThe Threat and Advanced Simulation Development (TASD) contract supports a wide range of Missile Defense Agency (MDA) directorates with multiple products & capabilities. The ideal candidate will possess a deep understanding of AI/ML principles, a proven track record of leading successful AI/ML projects from conception to deployment, and exceptional leadership and communication skills. As the AI/ML Lead, you will be responsible for defining the AI/ML strategy, building and mentoring a team of talented AI/ML engineers and scientists, and collaborating with cross-functional teams to deliver innovative AI-powered solutions that drive business value.\nResponsibilities include:\nDeveloping and executing the overall AI/ML strategy, aligning it with the company's business goals and objectives.\nDrive the adoption and integration of AI/ML into the development pipelines\nIdentify and evaluate emerging AI/ML technologies and trends and recommend their adoption where appropriate.\nDefine and prioritize AI/ML projects based on potential impact, feasibility, and alignment with strategic priorities.\nCreate and maintain a roadmap for AI/ML development, ensuring continuous improvement and innovation.\nLead the full lifecycle of AI/ML projects, from problem definition and data collection to model development, deployment, and monitoring.\nOversee the design, development, and implementation of AI/ML models and algorithms using appropriate tools and techniques.\nEnsure the quality and accuracy of AI/ML models through rigorous testing and validation.\nCollaborate with software engineers and DevOps teams to deploy AI/ML models into production environments.\nMonitor the performance of AI/ML models in production and identify areas for improvement.\nManage project budgets and timelines, ensuring projects are delivered on time and within budget.\nCommunicate AI/ML concepts and results effectively to both technical and non-technical audiences.\nPresent AI/ML findings and recommendations to senior management and stakeholders.\nBuild strong relationships with internal and external partners.\nWork with stakeholders to define problem statements and success metrics for AI/ML initiatives.\nStay up to date with the latest advancements in AI/ML research and development.\nExplore and evaluate new AI/ML techniques and tools.\nContribute to the company's intellectual property through patents and publications.\nEncourage and support team members in pursuing research and innovation opportunities.\nThe selected candidate should thrive in a fast-paced work environment with high expectations, significantly diverse assignments, and collaborative/team settings across all levels.\nBasic Qualifications:\nBachelor’s Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline preferred from an accredited university and 12 years of related experience, or a Master's Degree and 10 years of related experience, or 8 years of experience with a PhD.\nExpertise in a wide range of AI/ML techniques, including deep learning, natural language processing, computer vision, and reinforcement learning.\nStrong programming skills in Python, R, or other relevant languages.\nExperience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and Keras.\nExpertise with Large Language Models/Generative AI and Prompt Engineering. Also, using LLM/GAI solutions for usage in human-machine teaming for Software Development.\nProficiency in data mining, data analysis, and data visualization.\nExperience with cloud computing platforms such as AWS, Azure, or GCP.\nExperience with big data technologies such as Hadoop, Spark, and Hive.\nFamiliarity with DevOps practices and tools.\nExcellent leadership and management skills.\nStrong communication and interpersonal skills.\nAbility to work effectively in a collaborative environment.\nStrong problem-solving and analytical skills.\nAbility to think strategically and execute tactically.\nExcellent presentation skills.\nTechnical & Team leadership experience\nApplicants must have an active in-scope U.S. Government issued Secret security clearance at time of application, which is required to start.\nAbility for some limited travel (less than 10% time) to support program meetings.\nPreferred Qualifications:\nExperience in Engineering and Aerospace\nPublications in peer-reviewed AI/ML conferences or journals.\nExperience with MLOps and deploying models at scale.\nExperience with A/B testing and other methods for evaluating the performance of AI/ML models.\nExperience working with sensitive data and adhering to data privacy regulations.\nPrimary Level Salary Range: $194,700.00 - $292,100.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. 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