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AI / Machine Learning Engineer Staff (Electronic Warfare)Lockheed Martin Corporation • United States
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AI / Machine Learning Engineer Staff (Electronic Warfare)

Lockheed Martin Corporation
  • US
    United States
  • US
    United States
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Über

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 AI Technologies • 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. • 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. • 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. • 5+ 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. • Collaborative and Dynamic Work Environment: • 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: • Opportunities for professional growth and development in AI and related fields. • Mentorship and guidance from experienced engineers and leaders.
The preferred work locations for this position are Lockheed Martin facilities in Fort Worth, TX, or Palmdale, CA. 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, JAX, 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 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 • Broad experience in the application AI across multiple lines of business and customer programs in a large enterprise or government position • Familiarity with software defined radios • Experience with training deep neural networks and other AI algorithms • Experience leading engineering teams • Broad experience in the application and state of AI across multiple lines of business and customer programs in a large enterprise or government position • 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 Security Clearance Statement:
This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level:
Secret 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 $132,900 - $234,370. 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 $152,900 - $264,960. 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
  • United States

Sprachkenntnisse

  • English
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