AI Research Engineer Asc Mgr

Standard Job Description

Are you a visionary leader with a passion for artificial intelligence, machine learning, and full stack engineering? Do you have a proven track record of driving innovation and delivering results in a fast-paced environment? The Lockheed Martin Artificial Intelligence Center (LAIC) - AI Consulting team is seeking a highly experienced technical manager to lead a team of AI/ML engineers in the development and deployment of artificial intelligence and machine learning solutions. The successful candidate will have a strong technical background in AI/ML, excellent leadership and communication skills, and the ability to manage and motivate a team of engineers. Your key responsibilities will include leading a team of AI/ML engineers in the development, test and deployment of AI/ML Solutions, provide technical guidance and oversight to the team, ensuring that projects are completed on time and to a high standard, collaborate with cross-functional teams to identify business opportunities and develop associated statistical models, develop and implement best practices for AI/ML engineering, including software development, testing, and deployment, manage the team''s workload, prioritize tasks, and allocate resources to ensure efficient and effective project delivery, mentor and develop team members, providing guidance and support to help them grow in their careers, communicate technical information to non-technical stakeholders, including project status, technical risks, and recommendations as well as staying up-to-date with the latest developments in AI/ML and identify opportunities to apply new technologies and techniques to business problems.

Leads those focused on research & development of technologies that enable and advance semi and fully autonomous systems for both defense and commercial customers. Serves as the algorithm expert with up-to-date knowledge on modern AI research and may be involved in the inception of ideas and drive the development cycles from research to test of prototypes for a major project or component of a major project.Leads the research and discovery of improvements to machine learning and robotic algorithms; Drives advancements in techniques used in signal processing, computer vision (CV), and control systems; Develops AI algorithms for mission systems; Applies latest research on AI algorithms and trains machine learning / deep learning models to solve a variety of problems; Investigates and applies the latest machine learning and deep learning techniques; Optimizes the performance of AI algorithms, applications, and platforms; Develops and documents algorithm and implementation requirements; Develops prototypes that will enable autonomous functionality in LM products and platforms; Interfaces with other teams involved the development lifecycle for perception, mission and motion planning, simulation and modeling, testing, etc.

Desired Skills

• Master''s degree or Ph.D. in

Computer Science, Engineering, or a

related field

• Experience with Agile development

methodologies, including Scrum or

Kanban

• Knowledge of DevOps practices,

including continuous integration and

continuous deployment

• Experience with containerization,

including Docker or Kubernetes

• Familiarity with common Python

libraries used for developing

reinforcement learning applications

• Experience with the design,

implementation, and evaluation of

models, agents, and software

prototypes for real-world AI

applications

• Ability to work in a fast-paced

environment with multiple priorities

and deadlines

• Strong problem-solving skills, with

the ability to analyze complex

problems and develop creative

solutions

• Certified ScrumMaster or Agile PM

credential

Basic Qualifications

• Bachelor''s degree in Computer

Science, Engineering, or a related

field, with experience in AI/ML engineering

• Proven experience in leading a team

of engineers, with a strong track

record of delivering projects on time

and to a high standard

• Excellent technical skills in AI/ML,

including programming languages

such as Python, Java, or C++

• Strong knowledge of AI/ML

frameworks and tools, including

TensorFlow, PyTorch, or Scikit-learn

• Experience with cloud platforms,

including AWS, Google Cloud, or

Azure

• Excellent communication and

leadership skills, with the ability to

motivate and manage a team of

engineers

• Strong business acumen, with the

ability to understand business needs

and develop solutions that meet those needs

Pay Information

GeoZone Definition: GeoZones are geographic groupings created by Lockheed Martin to align compensation ranges with regional labor markets and cost-of-labor differences across the United States. Locations are assigned a Geo Zone based on the primary work location of the role.

• Full-time salary range (GEOZONE 1): $150800.00 - $280000.00

• Includes metropolitan areas such as Sunnyvale CA; Pal Alto, CA; New York City metropolitan area; Newark, New Jersey; etc.

• Full-time salary range (GEOZONE 2): $135700.00 - $251900.00

• Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc.

• Full-time salary range (GEOZONE 3): $120600.00 - $224000.00

• Includes metropolitan areas such as Dallas-Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc.

• Full-time salary range (GEOZONE 4): $108600.00 - $201600.00

• Includes metropolitan areas such as Camden, AR; Lexington, KY; Lufkin, TX; etc.

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.