Job description

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. Join our team of innovators and play a key role in shaping the future of AI at Lockheed Martin. As a leader in the development of cutting-edge AI solutions, we are seeking a highly skilled and motivated individual to support users of AI Factory’s MLOps and GenAI Platforms. If you have a passion for partnering with AI/ML practitioners to solve complex problems and design unique solutions, we want to hear from you. The Support, Enablement, and Advocacy (SEA) team handles the day-to-day administration of central LM deployments of AI Factory’s platforms and aims to streamline user onboarding and adoption of AI technologies. Primary responsibilities of the team: • Support users at all levels of experience as they learn about AI and adopt the AI Factory platforms • Perform debugging and root cause analysis of reported bugs and outages • Curate and improve product documentation and best-practice examples • Manage platform administrative processes • Manage announcements and communications to users for platform outages and new features. • Beta-test new product features and partner with the Platform Development team to design features aligned to user behaviors and desires • Continuously learn and adapt new AI technologies into our own workflows to accelerate processes and develop content • Partner with the AI Training Team to demonstrate new product features to early-adopter audiences and curate AI-upskilling materials for the corporation This job is for you if you… • enjoy working with a large and diverse group of people and find teaching and upskilling others rewarding • thrive in a developing technology environment and can work with an expected level of uncertainty • can apply systems engineering, root cause analysis, and engineering first principles to a wide variety of problems • are passionate about how AI can be used creatively and responsibly to change the world • desire a work environment where you are continuously experimenting and learning; where no two days are the same Basic Qualifications • Bachelor’s Degree in Engineering, Computer Science, or other related discipline • Experience with Python, R, or similar programming languages • Experience troubleshooting technical issues for users or internal engineering platforms • Experience writing technical docs, tutorials, or enablement content and explaining AI/ML concepts to mixed-experience audiences • Experience working cross-functionally with product/platform teams Desired Skills • Experience building AI Agents and/or training and deploying ML models • Knowledge of GenAI fundamentals (LLMs, RAG, Agents) and ML Frameworks (PyTorch, TensorFlow, Sci-kit) • Ability to work with continuously and rapidly changing priorities and technologies • Compassion, empathy, and strong people skills • Experience using commercial GenAI or MLOps platforms • Demonstrated application of AI to business or mission applications • Personal practices for staying in tune with a rapidly evolving technology field • Experience with Programming and Scripting, such as C++, Java, Python, Go, Bash • Experience with DevSecOps, Cloud Native software development practices, and Kubernetes • Proven experience collaborating with virtual teams • Strong oral and written communication skills, and ability to collaborate with cross-functional partners • Creative and resourceful when it comes to problem-solving • A curious and can-do attitude. You are not afraid to try, learn, and improve • Self-motivated, self-directed, and the ability to thrive in a fast-paced environment in an industry that constantly changes • Empathy for teammates/users and a desire to make their work frictionless and more efficient • Passion for building things that are useful 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): $101400.00 - $188200.00 • 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): $91200.00 - $169400.00 • Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc. • Full-time salary range (GEOZONE 3): $81100.00 - $150500.00 • Includes metropolitan areas such as Dallas–Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc. • Full-time salary range (GEOZONE 4): $72900.00 - $135500.00 • 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.

Requirements

Must-haves

Standard Job Description
The Support, Enablement, and Advocacy (SEA) team handles the day-to-day administration of central LM deployments of AI Factory’s platforms and aims to streamline user onboarding and adoption of AI technologies.
Support users at all levels of experience as they learn about AI and adopt the AI Factory platforms
Perform debugging and root cause analysis of reported bugs and outages
Curate and improve product documentation and best-practice examples
Manage platform administrative processes
Manage announcements and communications to users for platform outages and new features.
Beta-test new product features and partner with the Platform Development team to design features aligned to user behaviors and desires
Continuously learn and adapt new AI technologies into our own workflows to accelerate processes and develop content
Partner with the AI Training Team to demonstrate new product features to early-adopter audiences and curate AI-upskilling materials for the corporation
This job is for you if you…
enjoy working with a large and diverse group of people and find teaching and upskilling others rewarding

Nice-to-haves

Experience building AI Agents and/or training and deploying ML models
Knowledge of GenAI fundamentals (LLMs, RAG, Agents) and ML Frameworks (PyTorch, TensorFlow, Sci-kit)
Ability to work with continuously and rapidly changing priorities and technologies
Compassion, empathy, and strong people skills
Experience using commercial GenAI or MLOps platforms
Demonstrated application of AI to business or mission applications
Personal practices for staying in tune with a rapidly evolving technology field
Experience with Programming and Scripting, such as C++, Java, Python, Go, Bash
Experience with DevSecOps, Cloud Native software development practices, and Kubernetes
Proven experience collaborating with virtual teams
Strong oral and written communication skills, and ability to collaborate with cross-functional partners
Creative and resourceful when it comes to problem-solving

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningmlpythonjavagokubernetes

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Paid Time Off

Parental Leave