A/AI 机器学习工程高级
A/AI Machine Learning Engineering Senior
标准职位描述
团队简介
旋翼任务系统（RMS）人工智能中心（AI Hub）团队隶属于洛克希德·马丁公司的数据与人工智能赋能（D&AE）组织，为RMS的各个功能和业务线开发定制化的、可投入生产的AI解决方案。该团队的核心能力涵盖描述性数据分析、预测性机器学习以及认知AI产品——包括计算机视觉、自然语言处理和生成式AI。在此职位中，您将与内部利益相关者合作，将复杂需求转化为端到端的机器学习流程，集成大语言模型（LLM）功能，并推动创新，加速AI在业务领域的价值实现。您在Python、数据科学生命周期、深度学习基础和新兴AI技术方面的专业知识，将使您能够交付具有高影响力的解决方案，为RMS和洛克希德·马丁公司创造可衡量的价值。
主要职责
- 将业务问题转化为AI驱动的解决方案架构。
- 构建、微调并集成LLM和互补的AI模型到新的和现有的RMS应用程序中。
- 创建测试计划，进行集成测试，并使用CI/CD流水线部署解决方案。
- 记录设计并与变更管理团队协作，确保用户顺利采用。
- 监控已部署的解决方案，并推动持续改进，以适应不断变化的业务需求。
通过交付稳健、可投入生产的AI流程和直观的界面，您将提升RMS各职能的效率，并赋能团队更好地支持洛克希德·马丁公司的客户。
标准职位描述：A/AI机器学习工程高级工程师
负责为任务系统开发、集成和部署自主性和人工智能算法，支持从需求生成到开发、集成和测试的技术开发生命周期，部分组织还涉及研究工作。开发、集成和实现算法，以在LM产品和平台上实现感知、运动/任务规划、控制等功能；将需求转化为开发代码，将自主性、AI或机器学习算法集成到LM产品和平台上；确定最佳的软件方法来获取和执行知识；将算法实现到软件中，使系统能够识别模式并执行特定功能；负责变量
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Standard Job Description
Team Overview
The Rotary Mission Systems (RMS) AI Hub team, within Lockheed Martin's Data & AI Enablement (D&AE) organization, creates tailored, production-grade AI solutions that enable the functions and lines of business across RMS. The team's core capabilities span descriptive data analysis, predictive machine learning, and cognitive AI products - including computer vision, natural language processing, and generative AI. In this role, you will partner with internal stakeholders to translate complex requirements into end-to-end machine-learning pipelines, integrate large-language-model (LLM) capabilities, and drive innovations that accelerate AI value realization within the business area. Your expertise in Python, the data-science lifecycle, deep-learning fundamentals, and emerging AI technologies will empower you to deliver high-impact solutions that generate measurable value for RMS and Lockheed Martin.
Key Responsibilities
- Translate business problems into AI-driven solution architectures.
- Build, fine-tune, and integrate LLMs and complementary AI models into new and existing RMS applications.
- Create test plans, conduct integration testing, and deploy solutions using CI/CD pipelines.
- Document designs and collaborate with change management to ensure smooth user adoption.
- Monitor deployed solutions and drive continuous improvement to keep pace with evolving business needs.
By delivering robust, production-grade AI pipelines and intuitive interfaces, you will enhance efficiency across RMS functions and empower teams to better support Lockheed Martin's customers.
Standard Job Description For A/AI Machine Learning Engineering Senior
Responsible 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
Basic Qualifications
- Bachelor's degree in Computer Science, Information Technology, Engineering, AI/ML, or a related discipline.
- Proficiency in Python - write clean, well-documented code and explain your logic.
- Knowledge of the data-science lifecycle, big-data concepts, deep-learning fundamentals, and reinforcement-learning ideas.
- Demonstrated success with Generative AI capabilities such as large-language models (LLMs)
- Demonstrated initiative and research mindset - comfortable navigating documentation, exploring new tools, and proposing ideas with minimal supervision.
- Strong problem-solving and communication skills; able to work with internal customers to gather requirements and provide clear status updates.
- Understanding of RESTful APIs and ability to integrate them into data pipelines.
Desired Skills
- Experience with LLM frameworks or APIs (e.g., LangChain, OpenAI, Cohere).
- Exposure to MLOps fundamentals: CI/CD pipelines, model versioning, monitoring, Docker/Kubernetes.
- Knowledge-graph or ontology work (SPARQL, embeddings, graph-based feature engineering).
- Familiarity with cloud platforms (AWS, Azure, GCP) and OpenShift.
- Ability to quickly absorb new tools, applications, or approaches from documentation or public repositories and contribute ideas to the team.
- Research-oriented mindset - conducting industry/academic research, networking with peers, and surfacing innovative strategies.
- Breadth of interest or experience with diverse data-application domains (structured, unstructured, time-series, sensor, etc.).
- Experience with Git fundamentals (branching, merging, pull-requests, basic workflow conventions).
- Basic familiarity with Docker (or comparable container technology).
Pay Information
GeoZone 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.
- Full-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.
- Full-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.
- Full-time salary range (GEOZONE 3): $98100.00 - $182100.00· Includes metropolitan areas such as Dallas–Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc.
- Full-time salary range (GEOZONE 4): $88300.00 - $163900.00· Includes metropolitan areas such as Camden, AR; Lexington, KY; Lufkin, TX; etc.
At 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.
The 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.
Benefits 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.
- Annual 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.
- For (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.
Originally posted on Himalayas