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AI Machine Learning Engineer Staff- Level 4

$132.9k - $234.37k

Lockheed Martin Corporation

AI Machine Learning Engineer Staff-Level 4 | Lockheed Martin

AI Machine Learning Engineer Staff-Level 4

Aeronautics Company

Texas

Job Code/Title: E9854:A/AI Mch Learn Engnr Stf

Job Description

• Design, develop, and deploy end-to-end AI/ML solutions

• Collaborate with Supplier Quality teams to support new feature development, providing technical expertise and guidance on AI system integration

• Work with stakeholders to identify and prioritize requirements for AI system improvements and new feature development

• Participate in design reviews, code reviews, and testing to ensure high-quality AI systems and toolsets

• Stay up-to-date with emerging AI technologies and trends with the intent on applying this knowledge to improve SQM toolsets and systems

• Partner with Data Analysts, Data Scientist, and Quality Engineers to solve complex problems and create unique solutions identifying high-value AI use cases

• Collaborate with internal teams to ensure AI systems meet Lockheed Martin Proprietary Information (LMPI) sensitivity requirements

• Lead small, cross-functional project teams to execute AI projects

• Contribute to technical roadmaps and best practices for enterprise AI adoption

• Create documentation and best practices to share with the AI/ML community

What's In It For You: From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, Learn more about Lockheed Martin's comprehensive benefits package here.

Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus -if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you.

Who You Are You are a multi-faceted teammate able to communicate and function effectively on an engineering team to create a collaborative environment that allows for the establishment of mission goals. Self-motivated and inspired, you thrive in an environment where you are empowered to work your craft, never settling for the bare minimum.

Desired skills

• Master's in Engineering, Computer Science, Systems Engineering, or a related field

• Knowledge of cybersecurity principles and pr

• Knowledge of Machine Learning Architectures, including GPU Computing

• Creative and resourceful when it comes to problem-solving

• Ability to work with internal stakeholders to collect feedback, prioritize tasks, and manage the work backlog

• Working knowledge of analytics, data management, statistics, accounting, or computer applications

• Experience coordinating work while communicating with multidisciplinary project teams consisting of teammates, end-users and leadership

• Experienced in development of SQL or Hana queries

• Familiarity with Robotic Process Automation

• Familiarity with agile development

• Experience with change management

• Experience applying AI to systems integration, test, or validation workflows

• Experience collaborating across systems engineering and sustainment organizations

• Exposure to aerospace or safety-critical engineering environments

• Experience applying AI for process optimization

• Experience leading small technical teams or cross-functional efforts

• Understanding of DevSecOps practices, version control, and agile development

• Awareness of ethical and trustworthy AI principles

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.

Ability to Telecommute

Part time telecommuting

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.

Work Schedule

4x10 hour day, 3 days off per week

Security Clearance Information

This position requires a government security clearance, you must be a US Citizen for consideration.

Security Clearance

Secret

LMCareers Business Unit

AERONAUTICS COMPANY

Department

274W00:FW SUPPLIER QUALITY MANAGEMENT

Job Class

Artificial Intelligence

Job Category

Experienced Professional

City, State

Fort Worth-TX

City

Fort Worth

Zip

76108

Virtual

yes

Relocation/Housing Stipend Available

Possible

Req Type

Full-Time

Direct/Indirect

Direct

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.

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.

National Pay Statement

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 $132,900 - $234,370. 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, Massachusetts, and New York is $152,900 - $264,960. 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

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