A/AI Research Engineer - E2
专注于使国防和商业客户实现半自主系统的技术研发,推进。作为算法专家,具有现代人工智能研究的最新知识,并可能参与创建想法,从研究到测试大型项目或重大项目的组件原型开发周期。对机器学习和机器人算法的研究和发现改进;推动信号处理,计算机视觉 (CV) 和控制系统中使用技术的进展;为任务系统开发人工智能算法;应用 AI 算法最新的研究,并训练机器学习/深度学习模型来解决各种问题;调查和应用最新的机器学习和深度学习技术;优化人工智能算法,应用程序和平台的性能;开发和记录算法和实施要求;开发原型号将使 LM 产品和平台实现自主功能;与其他团队进行互联网涉及到感知,任务和运动规划,模拟和建模,测试等发展生命周期。基本资格 - - 证明了多年的规模经验在开发和部署 AI /ML 解决方案。- 经验与 AI/ML 编程语言 (Python,C++,等)- 实践经验证明开发,调整或部署大型语言模型 (≥10B 参数). - 在快速/文本工程方面的经验证明 (设计,测试和优化提示以确保可靠性,安全性和性能). - STEM 学科或相关学科中学士学位 (例如计算机科学,计算机工程,电气工程,数学,数据科学等)- 人工智能,机器学习,深度学习,计算机视觉或图像处理领域的研究经验。- 将人工智能解决方案及应用程序部署/托管到生产中所需技能。- 使用应用程序的 UI 开发,如 Streamlit-自主代理 (层次性 RL,规划与搜索,LLM 驱动的代理)的设计和实施。-使用多模式感知循环,自我反思和工具 API 的经验 (例如 ReAct, LangChain Agents). -使用 AWS 核心服务 (EC2, S3, IAM, VPC, KMS, Lambda,API Gateway) 构建和安全可扩展基础设施的经验。- 熟练处理支持自主化的框架。
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Standard Job Description
Focuses on research & development of technologies that enable and advance semi and fully autonomous systems for both defense and commercial customers. Serves as the algorithm expert with up-to-date knowledge on modern AI research and may be involved in the inception of ideas and drive the development cycles from research to test of prototypes for a major project or component of a major project.Researches and discovers improvements to machine learning and robotic algorithms; Drives advancements in techniques used in signal processing, computer vision (CV), and control systems; Develops AI algorithms for mission systems; Applies latest research on AI algorithms and trains machine learning / deep learning models to solve a variety of problems; Investigates and applies the latest machine learning and deep learning techniques; Optimizes the performance of AI algorithms, applications, and platforms; Develops and documents algorithm and implementation requirements; Develops prototypes that will enable autonomous functionality in LM products and platforms; Interfaces with other teams involved the development lifecycle for perception, mission and motion planning, simulation and modeling, testing, etc.
Basic Qualifications
- Demonstrated years of hands-on experience developing and deploying AI/ML solutions at scale.
- Experience with AI/ML programming languages (Python, C++, etc.)
- Demonstratedhands‑on experience developing, fine‑tuning, or deploying large language models (≥10Bparameters).
- Demonstrated expertise in prompt/context engineering (designing, testing, and optimizing prompts for reliability, safety, and performance).
- Bachelor's degree in a STEM or related discipline (e.g. Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Data Science, etc.)
- Research experience in Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, or Image Processing.
- Experience deploying/hosting AI solutions & applications into production
Desired Skills
- UI development using applications such as Streamlit
- Design and implementation of autonomous agents (hierarchical RL, planning‑as‑search, LLM‑driven agents).
- Experience with multi‑modal perception loops, self‑reflection, and tool‑use APIs (e.g., ReAct, LangChain Agents).
- Experience with AWS core services (EC2, S3, IAM, VPC, KMS, Lambda, API Gateway) to build and secure scalable infrastructure.
- Proficiency with frameworks that support autonomous reasoning and planning, such as LangGraph, CrewAI, AutoGen, and LlamaIndex.
- Ability to implement hybrid retrieval, semantic chunking, and GraphRAG (combining knowledge graphs with vector search).
- Proficiency in building both MCP Clients (to host models) and MCP Servers (to expose data/tools)
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): $101400.00 - $188200.00 · 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): $91200.00 - $169400.00 · Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc.
- Full-time salary range (GEOZONE 3): $81100.00 - $150500.00· Includes metropolitan areas such as Dallas–Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc.
- Full-time salary range (GEOZONE 4): $72900.00 - $135500.00· 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