Software Engineer Poly Mid to SR Poly Clearance Required
Listed on 2026-01-14
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IT/Tech
Machine Learning/ ML Engineer, AI Engineer, Data Scientist
Basic Qualifications
TS/SCI with Polygraph Required
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.
RequirementsExpert knowledge of multiple programming languages, e.g. Python, Java, C, R, a plus.
Responsibilities- 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
E9755:
Cyber Software Engr Sr Stf
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.
Desired Skills- Linux
- JAVA
- JUnit
- JSON
- REGEX
- IntelliJ
- Net Beans
- Eclipse
- Git Lab
- Confluence
- Jira
- Python helpful, but not necessarily required
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 remotelyOnsite Full-time:
The work associated with this position will be performed onsite at a designated Lockheed Martin facility.
Employee will work on-site full-time.
Ability to TelecommuteNo telecommuting.
ShiftFirst
Work Schedule InformationLockheed 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…
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