{"id":2002045,"url":"https://alion.io/job/lockheed-martin-aai-machine-learning-engineering-stf","title":"A/AI Machine Learning Engineering Stf","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":"DevOps","role_family":"DevOps","seniority":"staff","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"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":120600,"max":224000,"currency":"USD","period":"year","gross":null,"usd_annual":224000},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"Amazon Redshift","optional":true},{"name":"Amazon S3","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"BigQuery","optional":true},{"name":"CI/CD","optional":true},{"name":"Dagster","optional":true},{"name":"Databricks","optional":true},{"name":"dbt","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Git","optional":true},{"name":"GitHub","optional":true},{"name":"GitLab","optional":true},{"name":"Google BigQuery","optional":true},{"name":"JAX","optional":true},{"name":"Kubernetes","optional":true},{"name":"NLP","optional":true},{"name":"NumPy","optional":true},{"name":"Prefect","optional":true},{"name":"Scikit-learn","optional":true},{"name":"SciPy","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true},{"name":"Time Series Forecasting","optional":true}],"status":"live","first_seen_at":"2026-09-03T17:16:51Z","employer_posted_date":"2026-09-16","last_verified_at":"2026-10-17T20:59:11Z","board_verified":true,"closed_at":null,"days_open":44,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":44},"description":"Standard Job Description\nResponsible for developing, integrating, and deploying artificial intelligence and automation algorithms for data engineering systems, supporting the technology development life cycle from requirements generation through development, integration, and testing. Develops, integrates, and implements algorithms to enable intelligent data pipeline orchestration, automated data quality validation, metadata discovery, anomaly detection, and predictive data operations functionality within data engineering platforms and tooling. Translates requirements from data engineering teams and applies them to development code, integrating AI, machine learning, and automation algorithms into data platforms, ETL/ELT workflows, and data infrastructure. Determines optimal methods to acquire, process, and operationalize knowledge from data systems; implements algorithms to train systems to recognize data patterns, predict pipeline failures, optimize resource allocation, and automate routine data operations tasks. Responsible for various phases of developing and maintaining AI/automation software from requirements generation, software design and development through integration, testing, troubleshooting, debugging, and implementation. Reviews test outcomes, conducts troubleshooting, and debugs issues in production data systems. Develops human-machine interface scenarios for data engineers and analysts, breaking complex data workflows into automated tasks. Documents interface requirements and implements intuitive interfaces that enable data teams to leverage AI capabilities without deep ML expertise.\nBasic Qualifications\nBachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or related technical field\nMaster's degree or PhD in Machine Learning, Artificial Intelligence, or related field preferred\n10+ years professional experience, 5+ years in production ML\nExpert Python, deep learning frameworks (TensorFlow/PyTorch)\nML fundamentals, cloud platforms, MLOps experience\nLeadership and communication skills\nDesired Skills\n Programming: Expert-level proficiency in Python; strong SQL skills; experience with ML libraries (scikit-learn, pandas, NumPy, SciPy)\nMachine Learning Frameworks: Experience with TensorFlow, PyTorch, or JAX for deep learning; scikit-learn for traditional ML\n ML Fundamentals: Deep understanding of machine learning algorithms (especially anomaly detection, time series, NLP), statistical modeling, and optimization techniques\n Data Engineering Platforms: Hands-on experience with modern data orchestration tools (Airflow, Prefect, Dagster) and data transformation frameworks (dbt)\nBig Data Technologies: Production experience with Spark, distributed computing, and processing large-scale datasets\n Data Warehouses: Experience with cloud data warehouses (Snowflake, BigQuery, Redshift, or Databricks)\nSQL Mastery: Advanced SQL skills including query optimization, window functions, CTEs, and performance tuning\n Cloud Platforms: Production experience with AWS, Azure, or GCP (both ML services and data platform services like S3, GCS, Azure Data Lake)\nVersion Control & CI/CD: Proficiency with Git, GitHub/GitLab, and CI/CD pipelines for both ML models and data pipelines\n MLOps: Experience with model deployment, containerization (Docker), orchestration (Kubernetes), and integrating ML into data platforms\n\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): $150800.00 - $280000.00 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): $135700.00 - $251900.00 Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc.\n\nFull-time salary range (GEOZONE 3): $120600.00 - $224000.00Includes metropolitan areas such as Dallas-Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc.\n\nFull-time salary range (GEOZONE 4): $108600.00 - $201600.00Includes 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":5958,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"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":"2026-10-07T11:44:37Z"}],"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":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":27,"band":"fade","label":"Fading","p_open":1,"p_active":0.751,"p_room":0.36,"age_days":43,"expected_fill_days":28,"reasons":["conf:1","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":224000,"is_top_pay":true},"html_url":"https://alion.io/job/lockheed-martin-aai-machine-learning-engineering-stf","json_url":"https://alion.io/job/lockheed-martin-aai-machine-learning-engineering-stf.json","meta":{"generated_at":"2026-10-17T22:28:55Z","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":437,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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-aai-machine-learning-engineering-stf"},{"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-aai-machine-learning-engineering-stf"},{"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-aai-machine-learning-engineering-stf"},{"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-aai-machine-learning-engineering-stf\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flockheed-martin-aai-machine-learning-engineering-stf"}]}