Lockheed Martin
Artificial Intelligence/Machine Learning (AI/ML) Research Scientist
As an AI/ML Research Engineer, you will work with guidance from project leaders and technical leads to:
- Develop, integrate, and implement products to assist adding perception, motion/mission planning, controls, etc. functionality in LM products and platforms
- Translate requirements and apply requirements to development code, integrating autonomy, AI or machine learning algorithms to LM products and platforms
- Determine software methods to best acquire and execute knowledge • Implement algorithms into software to aide in development of systems which can recognize patterns and perform specific functions
- Be responsible for various phases of developing and maintaining AI-based 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
- Interface with other teams involved the development lifecycle for perception, mission and motion planning, simulation and modeling, testing, etc.
We are looking for someone with a strong problem solving mindset: ability to develop create solutions to difficult problems often requiring integration of conflicting and, at times, ambiguous or incomplete data on a fast paced schedule. You should have the demonstrated ability to effectively communicate complex design information, technical decision and issues to both highly technical and non-technical peers. We are also looking for the ability to build and maintain relationships, collaborate with others, engage in constructive conflict, and manage interpersonal dynamics. You should also be comfortable working in a fast paced and dynamic multi-disciplinary environment.
Standard Job Description Focuses on research & development of technologies that enable and advance semi and fully autonomous systems for both defense and commercial customers. Serves as the algorithm expert with up-to-date knowledge on modern AI research and may be involved in the inception of ideas and drive the development cycles from research to test of prototypes for a major project or component of a major project.Researches and discovers improvements to machine learning and robotic algorithms; Drives advancements in techniques used in signal processing, computer vision (CV), and control systems; Develops AI algorithms for mission systems; Applies latest research on AI algorithms and trains machine learning / deep learning models to solve a variety of problems; Investigates and applies the latest machine learning and deep learning techniques; Optimizes the performance of AI algorithms, applications, and platforms; Develops and documents algorithm and implementation requirements; Develops prototypes that will enable autonomous functionality in LM products and platforms; Interfaces with other teams involved the development lifecycle for perception, mission and motion planning, simulation and modeling, testing, etc. Proficient in AI prompting as it applies to this position and practice.
- Experience with advanced AI/ML techniques
- Experience with AI/ML domain programming languages (e.g. Python, C++, Java, GO, MatLab, etc.)
- Experience with communications protocols, e.g. RF and/or 5G
- Aptitude with DevOps technologies such as Python, Docker, and/or Kubernetes
- Experience developing applications on Linux or similar
- Experience interfacing with databases (SQL, MongoDB, etc.)
- Active Secret clearance; US Citizenship with the ability to obtain and maintain a US Government clearance.
- Experience "hardening" applications, and deploying them into various platforms per DevOps lifecycles
- DevOps experience including CI/CD pipelines to build, test, and/or deploy
- Familiarity with high-performance computing
- Demonstrated proficiency in designing efficient algorithms and performing analysis with a numerical scripting language such as Python, R or MATLAB (preferably in Python)
- Experience working with government customers in a large, complex environment
Pay Information
GeoZone Definition: GeoZones are geographic groupings created by Lockheed Martin to align compensation ranges with regional labor markets and cost-of-labor differences across the United States. Locations are assigned a Geo Zone based on the primary work location of the role.
- Full-time salary range (GEOZONE 1): $83700.00 - $155500.00
- Includes metropolitan areas such as Sunnyvale CA; Pal Alto, CA; New York City metropolitan area; Newark, New Jersey; etc.
- Full-time salary range (GEOZONE 2): $75400.00 - $140000.00
- Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc.
- Full-time salary range (GEOZONE 3): $67000.00 - $124400.00
- Includes metropolitan areas such as Dallas–Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc.
- Full-time salary range (GEOZONE 4): $60300.00 - $111900.00
- Includes metropolitan areas such as Camden, AR; Lexington, KY; Lufkin, TX; etc.
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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