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Lockheed Martin

A/AI Research Engineer Asc - E1

Posted Yesterday
In-Office or Remote
2 Locations
112K-156K Annually
Entry level
In-Office or Remote
2 Locations
112K-156K Annually
Entry level
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.
The summary above was generated by AI
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.

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