{"id":3525423,"url":"https://alion.io/job/lockheed-martin-operations-aiml-engineer-level-2-4","title":"Operations AI/ML Engineer - Level 2","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":96,"open_postings":2513,"ghost_share":0.01,"stale_share":0,"repost_share":0.2,"time_to_fill_p50_days":33,"computed_at":"2026-11-02T06:13:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Fort Worth, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":81100,"max":150500,"currency":"USD","period":"year","gross":null,"usd_annual":150500},"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":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"Agile","optional":true},{"name":"AI Agents","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"Git","optional":true},{"name":"Kubernetes","optional":true},{"name":"MySQL","optional":true},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-08-19T20:48:45Z","employer_posted_date":"2026-09-02","last_verified_at":"2026-11-02T05:08:25Z","board_verified":true,"closed_at":null,"days_open":74,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":74},"description":"Standard Job Description\nWhat You Will Be Doing\nAs the Operations AI/ML Engineer - Level 2 you will be responsible for performing exploratory research and statistical analysis to identify novel patterns, develop predictive models, and translate findings into actionable business value.\nYour responsibilities will include:\nConduct exploratory research and statistical analysis to uncover meaningful patterns and latent predictive factors.\nDevelop, test, and validate predictive models and algorithms using machine-learning, deep-learning, and optimization techniques.\nDesign and implement scalable computing solutions (GPU, distributed, cloud) for large-scale data processing.\nCreate clear visualizations and actionable recommendations that support decision-making.\nCollaborate with cross-functional teams to translate analytical insights into product and process improvements.\nWhat’s In It For You\nWe are committed to supporting your work-life balance and overall well-being, offering flexible scheduling options. Learn more about Lockheed Martin’s comprehensive benefits package here. Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus - if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you.\nWho You Are\nA collaborative engineer with strong expertise in applied statistics, machine learning, and data visualization. You thrive in fast-paced, global environments, possess excellent problem-solving skills, and are able to communicate complex insights clearly to diverse stakeholders.\nFurther Information About This Opportunity\nMUST BE A U.S. CITIZEN - This position is located at a facility that requires special access.\nThe selected candidate must be able to obtain a secret clearance.\nPerform exploratory research and analysis to identify novel and meaningful patterns in data and uses statistical methods to reject or accept proposed hypotheses about relationships or latent predictive factors discovered through their work to provide business value. Uses a combination of tools, technologies, and numerical computing systems (i.e.: GPU processing, distributed computing, highly parallel coding, cloud computing, machine learning, visualization, system modelling and simulation) to achieve results. Areas of expertise should include several of the following: applied statistics, text mining, natural language processing, deep learning, optimization, and other similar fields. Work on datasets with applied statistics and machine learning algorithms; Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data sets and discover opportunities in datasets to support decision-making; Develop predictive models and new algorithms to solve data / business problems; Understand the math and statistics behind the models and interpret, extrapolate, and prescribe from data to deliver actionable recommendations using effective visualizations\nBasic Qualifications\nBachelor's degree in Computer Science, Engineering, AI/ML or related field\nProficiency in Python and foundational machine learning concepts, with the ability to independently develop, train, and evaluate models\nExperience in developing, training, and deploying deep learning models using machine learning frameworks like TensorFlow and PyTorch.\nExperience with large dataset management\nDesired Skills\nFamiliarity with Large Language Models (LLMs) and/or Generative AI (GenAI)\nFamiliarity with GenAI Coding Assistants\nExperience with agentic AI frameworks\nExperience in API Development & Integration\nExperience with cloud-based platforms and containerization (e.g., Docker, Kubernetes)\nExperience with and maintaining CI/CD pipelines\nUnderstanding of agile development methodologies and version control systems (e.g., Git)\nExperience interfacing with database architectures such as PostgreSQL or MySQL\nExperience with aircraft manufacturing processes\nStrong organization and communication skills\nMaster's degree in Computer Science, Engineering, AI/ML or related field\nPay Information\nFull-Time Salary Range: $81100.00 - $150500.00\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. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.","description_format":"text","description_chars":5946,"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":true,"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":["Aerospace Manufacturing","Combat Aircraft","Missiles","Military Satellites"],"lifecycle":[{"event":"open","at":"2026-10-30T13:47:44Z"}],"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":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":13,"band":"cold","label":"Long shot","p_open":1,"p_active":0.48,"p_room":0.28,"age_days":74,"expected_fill_days":33,"reasons":["conf:1","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-02T06:13:15Z"},"pay":{"stated_usd_annual":150500,"is_top_pay":false},"html_url":"https://alion.io/job/lockheed-martin-operations-aiml-engineer-level-2-4","json_url":"https://alion.io/job/lockheed-martin-operations-aiml-engineer-level-2-4.json","meta":{"generated_at":"2026-11-02T06:28:40Z","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":9349,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-03T00:00:00Z"}},"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-operations-aiml-engineer-level-2-4"},{"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-operations-aiml-engineer-level-2-4"},{"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-operations-aiml-engineer-level-2-4"},{"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-operations-aiml-engineer-level-2-4\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flockheed-martin-operations-aiml-engineer-level-2-4"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3525423}},{"tool":"search_jobs","arguments":{"company":"lockheedmartin.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3525423},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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