A/AI Machine Learning Engineering Sr - E3

Lockheed Martin Corporation; King of Prussia (PA); Hybrid; USD 110,000 - 205,000; Full time

Benefits offered by this job

Medical, Dental, Vision

Flexible work arrangements

401(k) match

Paid time off

Job summary

Lockheed Martin Space's Cortex AI Team is seeking a hybrid Software and AI/ML Engineer to join a cross-functional group tackling space-domain challenges. You will apply AI/ML techniques to develop secure, scalable software for national security applications.

A BS in a STEM field and strong Python/ML skills are required, with experience in CI/CD, MLOps, and agile methods; Kubernetes, Docker, and Kafka are a plus for collaboration across teams.

Qualifications

• Bachelor's degree in a STEM discipline (e.g. Electrical Engineering, Computer Science, Computer Engineering, Mathematics, Physics, etc.)
• Experience with machine learning concepts and algorithms
• Strong Python and other programming skills
• Basic understanding of MLOps systems and CI/CD pipelines
• Strong collaboration and communication skills
• Experience with agile software development methodologies (e.g. Scrum, Kanban)

Responsibilities

• Develop AI/ML software and solutions for space-domain challenges
• Collaborate with research, data science, and systems teams
• Contribute to AI strategy through cross-functional work

Skills

Bachelor's degree in STEM

Machine learning concepts

Python programming

CI/CD

Agile methodologies

Communication skills

Education

Bachelor's degree in STEM

Tools

Kubernetes

Docker

Kafka

HTTP

AMQ

Helm

Job description

Company Overview

By bringing together people that use their passion for purposeful innovation, at Lockheed Martin we 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.

By bringing together people that use their passion for purposeful innovation, at Lockheed Martin we 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 development 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.

At Lockheed Martin, we place an emphasis on empowering our employees by fostering innovation, integrity, and exemplifying the epitome of corporate responsibility.

Your Mission is Ours.

About the Role

Lockheed Martin Space CORTEX AI Team is seeking a highly skilled hybrid Software and AI/ML Machine Learning Engineer to join a cross-functional team of experts in research, data science, software development, physics, and mathematics. As a key member of this team, you will leverage cutting‑edge AI/ML tools and techniques to tackle the most complex challenges in Space - all in support of our national security.

This role offers a unique opportunity to collaborate with a diverse group of professionals, drive innovation, help steer AI strategy, and contribute to the development of solutions that address critical problems in the Space domain.

The successful candidate will have advanced Software Development experience with knowledge of: AI/ML, Deep Learning, Agentic AI, or Computer Vision, modern software development practices/languages, and a passion for math and science and continued growth.

Basic Qualifications

• Bachelor's degree in a STEM discipline (e.g. Electrical Engineering, Computer Science, Computer Engineering, Mathematics, Physics, etc.)


• Experience with machine learning concepts and algorithms


• Strong Python and other programming skills


• Basic understanding of MLOps systems and CI/CD pipelines


• Strong collaboration and communication skills


• Experience with agile software development methodologies (e.g. Scrum, Kanban)

Desired Skills

• Advanced experience in Artificial Intelligence, Machine Learning, Deep Learning, Agentic AI, Computer Vision, or Image Processing


• Experience with unit testing and debugging techniques


• Strong expertise in integrating disparate software systems


• Orchestration experience with Kubernetes and Helm


• Containers experience with Docker


• Message protocol experience with tools such as Kafka, HTTP and AMQ


• Strong problem-solving skills, with the ability to debug complex issues

Pay Information

Full-Time Salary Range: $110300.00 - $204900.00

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.