Job Description
Job ID: 699074BR
Date posted: Jul. 29, 2025
Description: THE WORK This senior role fosters collaboration with other senior engineers for the development of advanced data analytics solutions and agile development projects in support of a high-visibility mission. This position involves providing technical leadership and guidance on data analytics and agile development projects, as well as collaborating with cross-functional teams to drive mission objectives.
WHO WE ARE At Lockheed Martin, we're a leading aerospace and defense company that's shaping the future of cyber and intelligence.
We're committed to innovating at the Edge: Harnessing the latest advancements in cyber, artificial intelligence, and machine learning to stay ahead of emerging threats and opportunities.
WHO YOU ARE Experience as a Software Engineer with knowledge assisting in the design, development, testing, and debugging of software solutions, with a focus on Linux and Unix operating systems.
Strong Familiarity with programming languages such as Java, Python and Hadoop.
WHY JOIN US Providing ongoing training, mentorship, and development opportunities to help our cyber and intelligence professionals stay at the forefront of their field and achieve their career goals.
Competitive and comprehensive benefits package.
Rewards and recognition for your hard work.
Medical and dental coverage.
401k retirement savings plan.
Paid time off for work/life balance.
And more
Basic Qualifications: TS/SCI with Polygraph Required
The Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models they create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements. The AI/ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. The AI/ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance. The AI/ML Engineer may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills. Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, a plus.
10 years experience deploying machine learning algorithms is required. A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university is required. 7 additional years machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree. Demonstrated abilities in software engineering and AI/ML model test and evaluation.
- Select appropriate data sets
- Perform statistical analysis
- Run machine learning algorithms
- Use results to improve models
- Train and retrain systems when needed
- Experience in working with various ML libraries and packages
- Run standard test and evaluation protocols
- Provide system integration oversight
- Oversee Test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements
- Research and implement a broad range of AI and ML algorithms and tools
- Transform and convert data science prototypes into scalable solutions
- Verify data and model output quality
- Identify differences in data distribution that affect model performance
- Deep understanding of AI logic, semantics, ontologies, and knowledge representation
- Demonstrated ability to design, evaluate, and productize AI/ML models on a range of commercial cloud-based architectures
- Design ML algorithms according to customer requirements
- Research, experiment with, and implement suitable ML algorithms and tools
- Broaden current AI/ML frameworks and machine learning libraries
Desired Skills: Desired Skills: Linux, JAVA, JUnit, JSON, REGEX, IntelliJ, NetBeans, and Eclipse, GitLab, Confluence, and Jira. Python helpful, but not necessarily required.
Clearance Level: TS/SCI w/Poly SP
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: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility.
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: 9x80 every other Friday off
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, New Jersey, Vermont, Washington or Washington DC is $139,600 - $246,100. 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.
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. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.
With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.
If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications.
Experience Level: Experienced Professional
Business Unit: RMS
Relocation Available: No
Career Area: Software Engineering
Type: Task Order/IDIQ
Shift: First
Job Tags
Full time, Temporary work, Work experience placement, Work at office, Remote work, Relocation, Flexible hours, Shift work,