Lockheed Martin
From Lockheed Martin's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
Standard Job Description
Responsible for developing, integrating, and deploying autonomy and artificial intelligence algorithms for mission systems, supporting the technology development life cycle from requirements generation through development, integration, and testing, as well as research in some organizations.Develops, integrates, and implements algorithms to enable perception, motion/mission planning, controls, etc. functionality in LM products and platforms; Translates requirements and applies requirements to development code, integrating autonomy, AI or machine learning algorithms to LM products and platforms; Determines software methods to best acquire and execute knowledge; Implements algorithms into software to train systems to recognize patterns and perform specific functions; Responsible for various phases of developing and maintaining autonomy software from requirements generation, software design and development to integration, testing, troubleshooting and debugging, and implementation; Review test outcomes, conducts troubleshooting, and works to debug issues; Develops human-machine interface scenarios, breaking missions into tasks; Documents interface requirements and implements human-machine interfaces
Proficiency in UML and/or Sysml modeling standards, diagrams, and methodologies
Hands-on experience with modeling tools such as Enterprise Architect and/or Cameo (or equivalent MBE tools)
Familiarity with network technologies including 4G, 5G, and tactical mesh radio systems
Practical experience with ATAK (Android Tactical Assault Kit) and TAK Server environments
Knowledge of current state-of-the-art AI and autonomy research trends and applications
Comfortable with technical interview and assessment technologies (evaluation platforms, testing tools, or interview processes)
Willingness to support field test event at remote locations
MUST BE A U.S. CITIZEN - The selected candidate must be able to obtain a company-sponsored secret clearance.
Desired Skills
Experience working with government labs (e.g., ONR, AFRL, DARPA)
Proposal and technical writing experience
Master’s or PhD in an AI/autonomy-related field
Full-Time Salary Range: $110300.00 - $204900.00
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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Hi [Name], I just applied for the A/AI Machine Learning Engineering Sr - E3 role at Lockheed Martin. My background in [your most relevant experience] lines up well with what the team is looking for. Would you be open to a quick chat, or could you point me to the right person on the team? Thank you!
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