A/AI Machine Learning Engineering Stf - E4

Lockheed Martin Corporation; San Antonio (TX); On-site; USD 136,000 - 252,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Flexible work arrangements (e.g., 4x10

401(k) match

Paid time off

Holidays

Parental Leave

Job summary

Lockheed Martin Corporation in San Antonio, TX, seeks a senior ML/AI software engineer to develop, integrate and deploy autonomy algorithms for mission systems across the full software lifecycle.

You will translate requirements into development code, integrate ML and AI into LM platforms, review test results, and document human-machine interfaces, ensuring robust, maintainable solutions.

Qualifications

• Five (5) years of applied ML experience in programs with similar scope.
• Master's or Ph.D. in advanced math, AI, data science, CS or deep learning from an accredited institution.
• Experience with standard ML frameworks like PyTorch and TensorFlow.

Responsibilities

• Develops, integrates, and deploys autonomy and AI algorithms for mission systems.
• Translates requirements into software, integrating autonomy/AI/ML into LM products.
• Reviews test outcomes, troubleshoots, and debugs issues; documents interfaces and HMI.

Skills

TensorFlow

PyTorch

Hugging Face

Model training

AWS SageMaker

Full-stack development

Education

Master's or PhD in a relevant field

Tools

SageMaker

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.

Basic Qualifications

Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity 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. 5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree. Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow.

Desired Skills

• Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
• Expertise in model training, evaluation, and deployment.
• Hands-on experience with AWS tools like SageMaker, Lambda, EC2, and S3.
• Experience in developing full-stack software applications (JavaScript, Python, Java, etc.).
• Solid understanding of data structures, algorithms, and system design.
• AI/SI development experience

Pay Information

Full-Time Salary Range: $135700.00 - $251900.00

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
• 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.