A/AI Machine Learning Engineer Senior Staff (hybrid,Signal Processing)
Company: Lockheed Martin
Location: Fort Worth
Posted on: January 28, 2026
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Job Description:
Job ID: 713781BR Date posted: Jan. 07, 2026 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 signal
processing capabilities to our customers. You will work on a broad
range of projects across the LAIC, from low Technical Readiness
Level research to deployment and will be responsible for leading
critical technical projects. Key Responsibilities: • Develop and
apply current AI paradigms, including computer vision, deep
learning, and reinforcement learning, to solve complex signal
processing 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. • Collaboration and
Communication: • 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. •
Strong background in signal processing theory and application
(radar, communication, electronic warfare, sonar, audio, or
biomedical) • Experience with current AI paradigms, including
computer vision, deep learning, and reinforcement learning. •
Proficiency in programming languages such as Python, Java, or C++.
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 • Education and
Experience: • Bachelor's degree in a relevant field, such as
computer science, electrical engineering, or mathematics. • 8 years
of experience in AI or a related field. What We Offer: •
Opportunity to Work on High-Impact Projects: • Work on a broad
range of projects across the LAIC, from low TRL research to
deployment. • Develop and apply AI technologies to solve complex
problems and field innovative solutions. • Work collaboratively
with cross-functional teams to develop and deploy AI solutions. •
Participate in a fast-paced and dynamic work environment with a
focus on innovation and experimentation. • Professional Development
and Growth Opportunities: • Mentorship and guidance from
experienced engineers and leaders. 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. Work Location: The preferred work
locations for this position are Lockheed Martin facilities in
Moorestown, NJ, Valley Forge, PA, Denver, CO, Fort Worth, TX,
Syracuse, NY, Owego, NY, Palmdale, CA, Orlando, FL. Remote work
arrangements may also be considered for qualified candidates.
LMLAIC 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.) • Experience
with machine learning and deep learning for signal processing
applications such as radar, communication, electronic warfare,
sonar, audio, or biomedical • Broad experience in the application
and state of AI across multiple lines of business and customer
programs in a large enterprise or government position Desired
Skills: • Master's Degree in Engineering, Computer Science, or
other related discipline with a specialization in Artificial
Intelligence • 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
• Experience with multiple sensing modalities including full motion
video in EO and IR, passive and active radio frequency, Synthetic
Aperture Radar (SAR), and state of the art novel sensing techniques
• Familiarity with software defined radios • Experience developing
and presenting briefs for government agencies • Experience
developing proposals and whitepapers • 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
• Active US DoD security clearance Clearance Level: None Other
Important Information You Should Know Expression of Interest: 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. Work Schedules:
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. Schedule for this Position: 4x10 hour day,
3 days off per week Pay Rate: The annual base salary range for this
position in California, Massachusetts, and New York (excluding most
major metropolitan areas), Colorado, Hawaii, Illinois, Maryland,
Minnesota, New Jersey, Vermont, Washington or Washington DC is
$156,400 - $275,655. 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. Pay Rate: The annual base salary range for
this position in most major metropolitan areas in California,
Massachusetts, and New York is $179,800 - $311,650. 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. 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. 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. Experience Level:
Experienced Professional Business Unit: ENTERPRISE BUSINESS
SERVICES Relocation Available: Possible Career Area: Artificial
Intelligence Type: Full-Time Shift: First
Keywords: Lockheed Martin, Waco , A/AI Machine Learning Engineer Senior Staff (hybrid,Signal Processing), Engineering , Fort Worth, Texas