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Lockheed Martin

AI/ML Engineer Staff

Lockheed Martin
United States · Full-time · Entry

Basic Qualifications

  • Bachelor’s Degree in Engineering, Computer Science, or other related discipline
  • Experience developing with machine learning frameworks (Pytorch, Tensorflow, MxNet, Caffe, Keras, etc.)
  • Experience with Python and multiple libraries (NumPy, OpenCV, Scikit, Pandas, SciPy, etc.)
  • Understanding of software engineering best practices.
  • Must be a US Citizen

Job Code/Title

E9854:A/AI Mch Learn Engnr Stf

Job Description

We are seeking a highly motivated and experienced Artificial Intelligence Engineer to join our Lockheed Martin Artificial Intelligence Center (LAIC) team. As a key member of our Applied AI team, you will play a critical role in developing technologies and products that leverage Artificial Intelligence to provide discriminating capability to our customers. You will work on a broad range of projects across the LAIC, from low TRL research to deployment, and will be responsible for leading technical tasks and mentoring junior engineers.

Key Responsibilities

  • Develop and Apply AI Technologies:
  • Develop and apply current AI paradigms, including computer vision, deep learning, and reinforcement learning, to solve complex problems and field innovative solutions.
  • Engage in every phase of the system development lifecycle, including requirements generation, system and software design, implementation, integration, and flight test.
  • Take ownership of critical tasks and lead technical teams to deliver high-quality solutions.
  • Participate in the development of proposals and whitepapers to secure funding for AI research and development projects

Technical Leadership And Mentorship

  • Assume technical lead responsibilities and mentor junior engineers to help them develop their skills and expertise.
  • Provide guidance and support to team members to ensure successful project execution.
  • Collaboration and Communication:
  • Work collaboratively with cross-functional teams to develop and deploy AI solutions.
  • Communicate complex technical concepts and solutions to non-technical stakeholders.
  • Engage with other Lockheed Martin teams to identify opportunities for AI adoption and application.

Technical Skills

  • Strong background in software engineering, artificial intelligence, and machine learning.
  • Experience with current AI paradigms, including computer vision, deep learning, and reinforcement learning.
  • Proficiency in programming languages such as Python, Java, or C++.
  • Strong background in signal processing theory and application (radar, communication, electronic warfare, sonar, audio, or biomedical)

Soft Skills

  • Self-motivation, strong work ethic, and time management skills.
  • Excellent interpersonal and communication skills.
  • Engage with other Lockheed Martin teams to identify opportunities for AI adoption and application

What’s In It For You

From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, Learn more about Lockheed Martin’s comprehensive benefits package here.

Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus -if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you.

#LMLAIC

Desired Skills

  • Master’s Degree in Engineering, Computer Science, or other related discipline with a specialization in Artificial Intelligence
  • Experience with machine learning and deep learning for signal processing applications such as radar, communication, electronic warfare, sonar, audio, or biomedical
  • Experience applying AI/ML to mature, complex software systems
  • Experience with RF signal processing
  • Experience with analog and digital signal processing
  • Experience working on radar, communication, electronic warfare, sonar systems
  • Familiarity with software defined radios
  • Experience with training deep neural networks and other AI algorithms
  • Experience leading engineering teams
  • Experience developing and presenting briefs for government agencies
  • Experience developing proposals and whitepapers
  • Experience with Linux application development
  • Experience with DevOps tools: Docker, Git [GitLab, GitHub], Continuous Integration [CI], Continuous Deployment [CD], unit testing frameworks (e.g., Pytest, Unittest)
  • Experience with C++, Java, and other compiled languages
  • Experience with modern Computer Vision
  • Familiarity with high-performance computing
  • Familiarity with network/messaging (UDP, ZeroMQ, RESTful API, etc.)
  • Familiarity interfacing with databases (SQL, MongoDB, etc.)
  • Active US DoD security clearance

Other Important Information

By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.

Ability to work remotely

Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.

Select the Telework classification for this position

Employee will telework < 50%

Ability to Telecommute

Part time telecommuting

Shift

First

Work Schedule Information

Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.

Work Schedule

4x10 hour day, 3 days off per week

Security Clearance

None

LMCareers Business Unit

ENTERPRISE BUSINESS SERVICES

Program

LAIC

Department

50143:Artificial Intelligence

Job Class

Artificial Intelligence

Job Category

Experienced Professional

City, State

Fort Worth-TX, King of Prussia-PA, Littleton-CO, Liverpool-NY, Moorestown-NJ, Owego-NY, Shelton-CT

City

Fort Worth, King of Prussia, Littleton, Liverpool, Moorestown, Owego, Shelton

Zip

06484, 08057, 13088, 13827, 19406, 76108, 80127

Virtual

no

Relocation/Housing Stipend Available

Possible

Req Type

Full-Time

Direct/Indirect

Direct

  • Join us at , where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They’re dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about.

As a leading technology innovation company, ’s vast team works with partners around the world to bring proven performance to our customers’ toughest challenges. has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories.

EEO

Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.

The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.

National Pay Statement

Pay Rate: The annual base salary range for this position in California and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, Washington or Washington DC is $128,200 - $225,975. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information 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 and business considerations when extending an offer.

Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.

(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.

This position is incentive plan eligible.

Premium Pay Statement

Pay Rate: The annual base salary range for this position in most major metropolitan areas in California and New York is $147,400 - $255,530. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information 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 and business considerations when extending an offer.

Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.

This position is incentive plan eligible.

Key Skills

Ranked by relevance

ai artificial intelligence deep learning machine learning computer vision python java continuous integration continuous deployment neural networks tensorflow pytorch docker devops gitlab pandas linux keras numpy scipy git sql udp dod c
Login to Apply
Posted
Jun 02, 2025
Type
Full-time
Level
Entry
Location
Texas

Industries

Defense Space Manufacturing

Categories

Engineering Information Technology

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