AI/ML Engineer
Lockheed Martin Corporation
Remote
$162,845 Salary, Full-Time
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Job Description
- 4.0 Grand Prairie, TX Job Details Full-time $108,800
- $216,890 a year 18 hours ago Benefits Paid jury duty Paid holidays Disability insurance Health insurance Dental insurance 401(k) Flexible spending account Paid time off Flextime Parental leave Employee assistance program Vision insurance 401(k) matching Flexible schedule Life insurance Qualifications Implementing machine learning algorithms
AI Full Job Description JOB ID:
726217BR Date posted: May. 05, 2026Description:
The Lockheed Martin Artificial Intelligence Center (LAIC) is seeking a highly skilled leader to head the AI Consulting portfolio, a role that requires a unique blend of technical expertise in software engineering and AI/ML, as well as strong business acumen and communication skills. This is an exciting opportunity to lead the development and deployment of AI solutions that can drive business value and innovation across the Lockheed Martin enterprise. With a focus on collaboration, innovation, and technical expertise, this role is perfect for a seasoned professional looking to make a significant impact in the field of AI. What you'll be doing:- Collaborating with business stakeholders to identify opportunities and develop AI solutions
- Modeling complex business and engineering problems using machine learning and feature engineering techniques
- Deploying AI capabilities and tracking projects through to completion
- Implementing best technical practices from the fields of machine learning and software engineering
- Creating knowledge materials to disseminate best practices to other AI and data science teams
- Meeting with data science leaders to teach and discuss best practices
What's In It For You:
From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, Who are you: You are a highly skilled leader with a unique blend of technical expertise in software engineering and AI/ML, as well as strong business acumen and communication skills. You have hands-on experience in developing and deploying AI solutions, and are able to collaborate with cross-functional teams to identify business opportunities and develop associated statistical models. You possess a combination of skills, including:- Strong analytical and problem-solving skills
- Programming knowledge and experience with machine learning and software engineering
- Excellent communication skills to understand business needs and communicate the value of AI models
- Business focus and creative thinking to quickly cycle hypotheses through the discovery phase of projects
- Ability to work collaboratively with cross-functional teams and drive projects through to completion #
LMLAIC Basic Qualifications:
Bachelor's degree in Engineering, Computer Science, or a related field, with at least 5 years of professional experience. Alternatively, a Master's degree with 3 years of professional experience. Significant experience in applying machine learning techniques to business problems (natural language processing, deep learning, anomaly detection, reinforcement learning). Experience with Python, Typescript, or compiled languages like C++, Golang, etc Experience with developing software and software engineering best practices. Must be aUS Citizen Desired Skills:
- Experience working with Agile methodologies and projects
- Superlative communication and interpersonal skills.
- Master's degree or higher in Engineering, Computer Science, or a related field.
- Experience with cloud platforms (e.g., AWS, Google Cloud, Azure), specifically containerizing and deploying AI/ML models.
- Certifications in AI/ML or related fields (e.g., TensorFlow Developer Certificate, AWS Certified Machine Learning).
- Experience leading a team of researchers and engineers.
- Familiarity with common Python libraries used for developing reinforcement learning applications: Gymnasium, rllib, Stable Baselines, RL Coach, etc.
- Experience with the design, implementation, and evaluation of models, agents, and software prototypes for real-world AI.
- Proven ability to bridge fundamental research into products.
Clearance Level:
None Other Important Information You Should Know Expression of Interest:
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 toWork Remotely:
Full-time Remote Telework:
The employee selected for this position will work remotely full time at a location other than a Lockheed Martin designated office/job site. Employees may travel to a Lockheed Martin office for periodic meetings.Work Schedules:
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. Schedule for thisPosition:
4x10 hour day, 3 days off per weekPay Rate:
The annual base salary range for this position in most major metropolitan areas in California, Massachusetts, and New York is $125,100- $216,890.
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.Pay Rate:
The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $108,800- $191,820.
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. 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.
Experience Level:
Experienced Professional Business Unit:
ENTERPRISE BUSINESS SERVICES
Relocation Available:
No Career Area:
Artificial Intelligence Type:
Full-Time Shift:
First At Lockheed Martin, we apply our passion for purposeful innovation to keep people safe and solve the world's most complex challenges.Pioneering Defense Technology:
From aerospace to outer space to cyber space, you can innovate mission solutions alongside the best minds in the business.United By Culture:
Excellence, integrity, and collaboration define us. We accelerate change and embrace one another's perspectives to win for our customers.Real Impact, Real Growth:
Grow your career and skills for life. Our wide array of opportunities and technology-driven learning programs enable your development and agility.Your Health, Your Wealth, Your Life:
Competitive pay, comprehensive benefits and flexible schedules designed so you thrive — at work and beyond. Empowered toBe Your Best:
Use your strengths to make a difference in the lives of one another, our customers, our communities, and our planet. Here, the possibilities are endless because we offer: Flexible Schedules, dependent on roleLevels:
Student, Entry, Mid, Senior, Management Locations:
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