A/AI Research Engineer Asc - E1

Posted 13 Hours Ago
Be an Early Applicant
5 Locations
In-Office or Remote
112K-156K Annually
Entry level
Aerospace • Security • Cybersecurity • Industrial
The Role
Researches and develops AI, machine learning, computer vision, signal processing, and control algorithms for autonomous defense and commercial systems. Builds, trains, evaluates, and optimizes models; develops prototypes and data products; defines requirements; and collaborates across perception, mission planning, simulation, testing, and customer application teams.
Summary Generated by Built In
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

• Bachelor’s Degree in Engineering, Computer Science from an accredited college in a related discipline, or equivalent experience/combined education.
•  Previous experience building machine learning models by way of work, projects, courses, etc.
• Previous experience in applying any of the following machine learning areas to business problems:
regression, classification, natural language processing, deep learning, anomaly detection, reinforcement learning.
• Previous experience evaluating model performance, including performance metric selection.
• Previous experience with feature engineering and data cleaning/pre-processing.
• Experience with implementing software engineering best practices.
•  Superlative communication and interpersonal skills.
• The ability to stay updated on new technologies in the rapidly evolving field of AI.
• Must have strong problem-solving skills, business acumen, and demonstrated excellent oral and written communication skills.
• Experience building data product projects from start to finish and interacting with customers.
• Experience with stakeholder communication and defining requirements
• Preferred languages: Python
• Must be a US citizen

Desired Skills

• Experience with natural language processing techniques
• Experience in applying deep learning, especially CNNs, RNNS, LSTMs, and reinforcement learning
• Experience with integration of data products into customer applications.
• Experience with or knowledge of data engineering.
• Experience with or knowledge of AWS.
• Experience in manufacturing and/or engineering processes.
• Story-telling and data visualization.
• Experience with UI/UX and/or human-machine interaction.
• Experience with SQL

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): $83700.00 - $155500.00 
    • 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): $75400.00 - $140000.00 
    • Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc.
  • Full-time salary range (GEOZONE 3): $67000.00 - $124400.00
    • Includes metropolitan areas such as Dallas–Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc.
  • Full-time salary range (GEOZONE 4): $60300.00 - $111900.00
    • 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.

Skills Required

  • Bachelor's degree in Engineering or Computer Science from an accredited college, or equivalent experience or combined education
  • Experience building machine learning models through work, projects, or coursework
  • Experience applying machine learning methods such as regression, classification, natural language processing, deep learning, anomaly detection, or reinforcement learning
  • Experience evaluating model performance and selecting performance metrics
  • Experience with feature engineering and data cleaning or preprocessing
  • Experience implementing software engineering best practices
  • Strong communication, interpersonal, problem-solving, and business skills
  • Experience building data product projects from start to finish and interacting with customers
  • Experience communicating with stakeholders and defining requirements
  • U.S. citizenship
  • Python experience
  • Natural language processing experience
  • Deep learning experience, especially CNNs, RNNs, LSTMs, and reinforcement learning
  • Experience integrating data products into customer applications
  • Experience with or knowledge of data engineering
  • Experience with or knowledge of AWS
  • Experience in manufacturing or engineering processes
  • Storytelling and data visualization experience
  • UI/UX or human-machine interaction experience
  • SQL experience

Lockheed Martin Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lockheed Martin and has not been reviewed or approved by Lockheed Martin.

  • Retirement Support — Retirement benefits are described as a standout element, with a strong 401(k) program and options like an employee stock purchase plan. Feedback suggests these features meaningfully enhance total compensation and long‑term financial security.
  • Healthcare Strength — Healthcare coverage is portrayed as comprehensive from day one, with multiple plan options, mental health resources, and virtual care. Wellness supports such as on‑site services and preventive programs are also highlighted.
  • Flexible Benefits — Work arrangements often include compressed schedules and telework, contributing to a favorable work‑life balance. Feedback suggests this flexibility is a key reason many view the overall package positively.

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The Company
HQ: Bethesda, MD
108,588 Employees
Year Founded: 1912

What We Do

Customer Focus, Innovation and Purpose are Built Into Everything We Do. Lockheed Martin. Your Mission is Ours ™. Headquartered in Bethesda, Maryland, Lockheed Martin is a global security and aerospace company principally engaged in the research, design, development, manufacture, integration and sustainment of advanced technology systems, products and services.

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