{"id":2102014,"url":"https://alion.io/job/lockheed-martin-ai-machine-learning-engineering-sr","title":"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":76,"ghost_share":0,"stale_share":0,"repost_share":0.053,"time_to_fill_p50_days":28,"computed_at":"2026-10-10T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Fort Worth, United States","Arlington, United States","Sunnyvale, United States","Orlando, United States","King of Prussia, United States","Huntsville, United States","Littleton, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":98100,"max":182100,"currency":"USD","period":"year","gross":null,"usd_annual":182100},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Cohere SDK","optional":true},{"name":"Docker","optional":true},{"name":"Embeddings","optional":true},{"name":"GCP","optional":true},{"name":"Git","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LLM","optional":true},{"name":"OpenAI","optional":true},{"name":"OpenShift","optional":true},{"name":"Time Series Forecasting","optional":true}],"status":"live","first_seen_at":"2026-09-28T22:09:34Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-11T16:19:58Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"Standard Job Description\nThe AI Research & Enterprise Solutions (AIRES) team within Lockheed Martin’s Data & AI Enablement organization(D&Ae) creates tailored, production-grade AI solutions that enable success across the corporation. In this role you will partner with internal stakeholders to translate complex requirements into end-to-end machine-learning pipelines, integrate large-language-model capabilities, and drive research-focused innovations that accelerate AI adoption enterprise-wide. Your expertise in Python, the data-science lifecycle, deep-learning fundamentals, and emerging generative-AI technologies will empower you to deliver high-impact, mission-critical solutions that generate measurable value for Lockheed Martin.\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\nBasic Qualifications\nBachelor’s degree in Computer Science, Information Technology, Engineering, AI/ML, or a related discipline.\nProficiency in Python - write clean, well-documented code and explain your logic.\nKnowledge of the data-science lifecycle, big-data concepts, deep-learning fundamentals, and reinforcement-learning ideas.\nBasic awareness of Generative AI capabilities such as large-language models (LLMs)\nDemonstrated initiative and research mindset - comfortable navigating documentation, exploring new tools, and proposing ideas.\nStrong problem-solving and communication skills; able to work with internal customers to gather requirements and provide clear status updates.\nDesired Skills\nExperience with LLM frameworks or APIs (e.g., LangChain, OpenAI, Cohere).\nExposure to MLOps fundamentals: CI/CD pipelines, model versioning, monitoring, Docker/Kubernetes.\nKnowledge-graph or ontology work (SPARQL, embeddings, graph-based feature engineering).\nFamiliarity with cloud platforms (AWS, Azure, GCP) and OpenShift.\nAbility to quickly absorb new tools, applications, or approaches from documentation or public repositories and contribute ideas to the team.\nResearch-oriented mindset - conducting industry/academic research, networking with peers, and surfacing innovative strategies.\nBreadth of interest or experience with diverse data-application domains (structured, unstructured, time-series, sensor, etc.).\nExperience with Git fundamentals (branching, merging, pull-requests, basic workflow conventions).\nUnderstanding of RESTful APIs and ability to integrate them into data pipelines.\nBasic familiarity with Docker (or comparable container technology).\nPay Information\nGeoZone Definition: GeoZones are geographic groupings created by Lockheed Martin to align compensation ranges with regional labor markets and cost-of-labor differences across the United States. Locations are assigned a Geo Zone based on the primary work location of the role.\nFull-time salary range (GEOZONE 1): $122600.00 - $227600.00 Includes metropolitan areas such as Sunnyvale CA; Pal Alto, CA; New York City metropolitan area; Newark, New Jersey; etc.\n\nFull-time salary range (GEOZONE 2): $110300.00 - $204900.00 Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc.\n\nFull-time salary range (GEOZONE 3): $98100.00 - $182100.00Includes metropolitan areas such as Dallas-Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc.\n\nFull-time salary range (GEOZONE 4): $88300.00 - $163900.00Includes metropolitan areas such as Camden, AR; Lexington, KY; Lufkin, TX; etc. \n\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.\nLockheed 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. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.","description_format":"text","description_chars":6201,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Education assistance","Flexible schedule","Life insurance","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Manufacturing","Military"],"lifecycle":[{"event":"open","at":"2026-10-08T18:56:34Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 1","filings_12m":1,"filings_prev_12m":1,"green_card_filings_12m":0,"median_offered_wage_usd":182500,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":87,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.962,"p_room":0.9,"age_days":11,"expected_fill_days":28,"reasons":["conf:1","wave","velocity","win:mid","comp:brand"],"computed_at":"2026-10-10T05:45:15Z"},"pay":{"stated_usd_annual":182100,"is_top_pay":false},"html_url":"https://alion.io/job/lockheed-martin-ai-machine-learning-engineering-sr","json_url":"https://alion.io/job/lockheed-martin-ai-machine-learning-engineering-sr.json","meta":{"generated_at":"2026-10-11T19:12:28Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":5828,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":37086},"rest":"https://alion.io/mcp/rest/get_company?id=37086"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flockheed-martin-ai-machine-learning-engineering-sr"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Flockheed-martin-ai-machine-learning-engineering-sr"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Flockheed-martin-ai-machine-learning-engineering-sr"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/lockheed-martin-ai-machine-learning-engineering-sr\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flockheed-martin-ai-machine-learning-engineering-sr"}]}