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Lockheed Martin Corporation

A/AI Research Engineer

Remote — United States (see country and timezone requirements)

Check who can apply and the requirements below before continuing.

Job description

Standard Job Description

Focuses 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.Researches and discovers 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.

Basic Qualifications

Bachelor’s Degree in Engineering, Computer

Science from an accredited college in a related

discipline, or equivalent experience, with 2 years

of professional experience; or a related Master’s

degree

Previous experience building machine learning (AI/ML)

models by way of work, projects, courses, etc.

Experience with developing software and

software engineering best practices, specifically in python.

Must have strong problem-solving skills,

business acumen, and demonstrated excellent

oral and written communication skills.

Must be a US citizen

Desired Skills

Experience with natural language processing techniques.

Experience in applying deep learning, especially CNNs, RNNS, LSTMs, and reinforcement learning, generative AI (GenAI).

Experience with integration of data products into customer applications.

Experience with or knowledge of data engineering.

Experience with or knowledge of AWS.

Experience in manufacturing and/or engineering processes.

Story-telling and data visualization.

Experience with UI/UX and/or human-machine interaction.

Experience with SQL.

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): $101400.00 - $188200.00 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): $91200.00 - $169400.00 Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc.

Full-time salary range (GEOZONE 3): $81100.00 - $150500.00Includes metropolitan areas such as Dallas–Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc.

Full-time salary range (GEOZONE 4): $72900.00 - $135500.00Includes 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.

Originally posted on Himalayas

Who can apply

Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.

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