A/AI Machine Learning Engineering Asc - Early Career

Lockheed Martin Corporation

Fort Belvoir (VA)

On-site

USD 75,000 - 140,000

Full time

4 days ago
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Benefits offered by this job

Medical
Dental
Vision
Flexible work arrangements
401(k) match
Paid time off
Holidays
Parental Leave
EAP
Flexible Spending Accounts
Education Assistance
Life Insurance
Short-Term Disability
Long-Term Disability
Incentive compensation programs

Job summary

Lockheed Martin Corporation seeks graduates for roles developing, integrating, and deploying autonomy and AI algorithms for mission systems. You will support the technology development life cycle from requirements through testing, working on perception, planning, and control tasks within LM platforms. Candidates should have a STEM bachelor’s degree and knowledge of AI/ML, CV, or image processing.

U.S. Citizenship and security investigations are required; position may involve on-site work at Fort

Qualifications

  • Bachelor's degree in a science and technology related program such as Mechanical Engineering, Aerospace Engineering, Electrical Engineering, Mathematics, Systems Engineering, Physics, Computer Science, or related disciplines, etc.
  • Knowledge of Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, or Image Processing.
  • Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information, including US Citizenship.

Responsibilities

  • Develops, integrates, and deploys autonomy and AI algorithms for mission systems throughout the technology development life cycle.
  • Translates requirements to development code, integrating autonomy, AI or ML algorithms into LM products and platforms.
  • Reviews test outcomes, troubleshoots, debugs issues, and documents interface requirements for human-machine interfaces.
  • Supports development of human-machine interface scenarios and mission task breakdowns.

Skills

Autonomy AI software development
Python
C++
Linux
Communication
Team collaboration

Education

Bachelor's degree in STEM

Tools

Python
Linux
MATLAB
Java
C++
Perl
Oracle/SQL
HTML
XML

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

Looking for December 2027 or May 2028 college graduates.

Basic Qualifications
  • Bachelor's degree in a science and technology related program such as Mechanical Engineering, Aerospace Engineering, Electrical Engineering, Mathematics, Systems Engineering, Physics, Computer Science, or related disciplines, etc.
  • Knowledge of Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, or Image Processing.
  • Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information, including US Citizenship.
Desired Skills
  • Experience working with on-orbit spacecraft or satellite flight operations
  • Familiarity in one of the following: PYTHON, LINUX, MATLAB, JAVA, C++, PERL, ORACLE/SQL, HTML, XML
  • Understanding of software / hardware infrastructure, middleware, and system architectures
  • Excellent written and verbal communication skills
  • Ability to work in a collaborative and team-based environment
Pay Information

Full-Time Salary Range: $75400.00 - $140000.00

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.
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