{"id":1938688,"url":"https://alion.io/job/lockheed-martin-aai-machine-learning-engineering-sr","title":"A/AI Machine Learning Engineering Sr","company":{"id":37086,"name":"Lockheed Martin","domain":"lockheedmartin.com","url":"https://alion.io/company/lockheedmartin","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"A","score":99,"open_postings":254,"ghost_share":0,"stale_share":0,"repost_share":0.067,"time_to_fill_p50_days":28,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mount Laurel, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":110300,"max":204900,"currency":"USD","period":"year","gross":null,"usd_annual":204900},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Edge AI","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"C","optional":true},{"name":"C++","optional":true},{"name":"CI/CD","optional":true},{"name":"Computer Vision","optional":true},{"name":"Docker","optional":true},{"name":"Git","optional":true},{"name":"GitHub","optional":true},{"name":"GitLab","optional":true},{"name":"Java","optional":true},{"name":"Linux","optional":true},{"name":"SQL","optional":true},{"name":"ZeroMQ","optional":true}],"status":"live","first_seen_at":"2026-09-17T19:01:36Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-10-17T17:39:15Z","board_verified":true,"closed_at":null,"days_open":30,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":30},"description":"Standard Job Description\nResponsible for developing, integrating, and deploying autonomy and artificial intelligence algorithms for mission systems, supporting the technology development life cycle from requirements generation through development, integration, and testing, as well as research in some organizations.Develops, integrates, and implements algorithms to enable perception, motion/mission planning, controls, etc. functionality in LM products and platforms; Translates requirements and applies requirements to development code, integrating autonomy, AI or machine learning algorithms to LM products and platforms; Determines software methods to best acquire and execute knowledge; Implements algorithms into software to train systems to recognize patterns and perform specific functions; Responsible for various phases of developing and maintaining autonomy software from requirements generation, software design and development to integration, testing, troubleshooting and debugging, and implementation; Review test outcomes, conducts troubleshooting, and works to debug issues; Develops human-machine interface scenarios, breaking missions into tasks; Documents interface requirements and implements human-machine interfaces\nJoin the Lockheed Martin Artificial Intelligence Center (LAIC) team and be part of a dynamic group that's pushing the boundaries of innovation in radar systems engineering, signal processing, data science, artificial intelligence, and machine learning. As a key member of the Applied AI team, you'll have the opportunity to work on a wide range of projects that are transforming the way we approach complex challenges. With a focus on rapid iteration and deployment, you'll be instrumental in developing and maintaining cutting-edge AI capabilities that are making a real impact across the Lockheed Martin enterprise.\nWhat you'll be doing:\nResearching state-of-the-art machine learning applications as they apply to fielded radar tracking systems\nDeveloping new capabilities to enhance tracking systems, from design, integration and test, to fielding\nAnalyzing customer data to inform ML model performance assessments and updates\nCollaborating with cross-functional teams to address evolving operational requirements\nWorking on-site at Moorestown, NJ\nWho are you:\nYou are a highly motivated and organized individual with a strong working knowledge in radar systems engineering, signal processing, data science, artificial intelligence, and machine learning. You possess:\nA strong foundation in technical skills, including ML model development and deployment\nExcellent interpersonal and communication skills, with the ability to work effectively in a team environment\nA self-motivated and proactive approach to work, with a strong work ethic and time management skills\nThe ability to work on-site at major Lockheed Martin facilities\nUS citizenship is required for this role\nBasic Qualifications\nBachelor's Degree in Engineering, Computer Science, or related field\nExperience with large dataset management and machine learning\nProficiency in Python and related libraries (e.g. NumPy, Pandas)\nKnowledge of MLOps pipeline and modern machine learning techniques\nDesired Skills\nMaster’s Degree in Engineering, Computer Science, or other related discipline\nExperience with DevOps tools: Docker, Git [GitLab, GitHub], Continuous Integration [CI], Continuous Deployment [CD]\nFamiliarity interfacing with databases (SQL, MongoDB, etc.)\nExperience with modern Computer Vision\nExperience with C++, Java, GO, and other compiled languages\nExperience developing applications on Linux\nFamiliarity with network/messaging (UDP, ZeroMQ, RESTful API, etc.)\nFamiliarity with high-performance computing\nFamiliarity with radar systems and track processing\nPay Information\nFull-Time Salary Range: $110300.00 - $204900.00\nAt Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow-both professionally and personally.\nThe salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.\nBenefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.\nAnnual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.\nFor (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. 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