AI/ML Engineer (FULLTIME TELEWORK)

Job Description

We are committed to work-life balance by promoting this remote telework option. These job requirements allow the employee to work their entire schedule somewhere other than a Lockheed Martin designated office or job site.

What We're Doing

At Lockheed Martin - Data Analytics Innovations (DAI), we're advancing the future of defense through cutting-edge data science and artificial intelligence. Our mission is to develop and deploy advanced analytic tools that utilize Artificial Intelligence/Machine Learning (AI/ML) to enable proactive decision-making and enhance mission readiness. From predictive analytics to Condition-Based Maintenance (CBM), we are delivering AI-driven solutions across all Lockheed Martin Business Areas-improving aircraft availability, reducing operational costs, optimizing supply chains, and more.

The Work

As a key member of our team, you will:

Design, develop, and deploy AI/ML models and predictive analytics solutions.

Leverage big data technologies, cloud infrastructure, and modern MLOps practices.

Build and integrate tools to monitor, explain, and enhance AI model performance.

Collaborate cross-functionally to understand use cases and deliver scalable, production-grade solutions.

Drive innovation in aircraft readiness, operational decision-making, and system maintenance through AI/ML.

Who We Are

We are a multidisciplinary team of data scientists, software engineers, and AI specialists focused on solving complex problems that have a tangible impact on national security and defense. We work in a fast-paced, collaborative environment, united by a passion for technology, innovation, and excellence. At Lockheed Martin, you'll have access to top-tier resources, technical mentorship, and the opportunity to contribute to meaningful work that supports global missions.

Who You Are

You're a motivated, curious, and collaborative AI/ML engineer or data scientist who is ready to tackle real-world challenges. You bring both technical skill and a drive to continuously learn and grow.

Basic Qualifications:

Bachelor's degree in Software Engineering, Computer Science, Machine Learning, or a related STEM field with 2 years related experience.

Proficient in Python and libraries like NumPy, SciPy, and Pandas

Experience working with large datasets: management, exploration, visualization, and analysis

Hands-on with machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn, Keras)

Familiarity with DevOps tools: Docker, Git (GitLab/GitHub), CI/CD pipelines

Basic understanding of MLOps pipelines: labeling, explainability, model export, testing, deployment, monitoring

Comfortable interfacing with databases (SQL, MongoDB)

Strong communicator, actively engaged in collaborative platforms like Teams and Email

Desired Skills:

Master's degree in a related STEM field

Experience developing on Linux environments

Skilled in Dockerfiles, Helm, Kubernetes deployments

Familiarity with Generative AI and AI assistants

Experience with Reinforcement Learning

Hands-on with Kubernetes orchestration platforms (e.g., Rancher, OpenShift)

Effective communicator with both technical and non-technical audiences

Team player who thrives in dynamic, multi-disciplinary environments

Willing to challenge existing ideas and drive continuous improvement

Why Join Us

At Lockheed Martin, we believe that innovation thrives in an environment of collaboration and diversity. Here, you'll not only work on groundbreaking technologies but also shape the future of aerospace, defense, and intelligence. We offer:

Competitive pay and benefits

Opportunities for career growth and technical leadership

Access to world-class tools, training, and development programs

A culture of inclusion, integrity, and innovation

Be part of a team that's not just imagining the future-but building it. If you're ready to take on mission-critical problems with AI at scale, we want to hear from you.

Basic Qualifications

Bachelor's in Software Engineering, Computer Science, Machine Learning, or related STEM degree with 2 years of related professional experience or related Master's degree and no experience.
Experience with DevOps tools: Docker, Git [GitLab, GitHub], Continuous Integration [CI], Continuous Deployment [CD]
Experience with large dataset management, exploration, visualization, and analysis
Experience with machine learning model training and analysis through open-source frameworks (Pytorch, Tensorflow, Sklearn, Keras, etc)
Experience with Python and multiple libraries (NumPy, SciPy, Pandas, etc.)
Basic knowledge of training and analysis steps in a modern MLOps pipeline including labeling, local and global explainability, model export and serialization, conformance testing, deployment, and monitoring
Familiarity interfacing with databases (SQL, MongoDB, etc.)

Desired skills

Master's Degree in Software Engineering, Computer Science, Machine Learning, or related STEM degree.
Experience developing applications on Linux.
Experience writing Dockerfiles, Helm and Kubernetes deployment scripts and templates.
Familiarity with Generative AI and leveraging AI assistants to solve an array of diverse problems.
Experience with Reinforcement Learning libraries
Experience with managing Kubernetes container orchestration platforms including Rancher or OpenShift.
Demonstrated ability to effectively communicate complex design information, technical decision and issues to both highly technical and non-technical peers.
Ability to build and maintain relationships across organizations, collaborate with others, engage in constructive conflict, and manage interpersonal dynamics - not afraid to challenge the existing approach to solutions
Comfortable working in a fast paced and dynamic multi-disciplinary environment.
Strong communicator and active participant in team communication channels such as Teams/Email.

EEO

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.

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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.

Other Important Information

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

Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.

Work Schedule Information

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.

National Pay Statement

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 $86,100 - $151,800. 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.

Premium Pay Statement

Pay Rate: The annual base salary range for this position in most major metropolitan areas in California and New York is $99,000 - $171,580. 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. This position is incentive plan eligible.