A/AI Machine Learning Engineering - E2

Lockheed Martin
Littleton, CO, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$91,200.0 - $169,400.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Computer Vision C Sharp (Programming Language) C++ (Programming Language) Software Debugging Human-Computer Interaction Python (Programming Language) MATLAB Machine Learning Tensorflow
+7 more
Software Engineering Cloud Platform System Pytorch Deep Learning Software Troubleshooting Keras Scikit Learn

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.

Requirements

  • Bachelor’s degree in a STEM discipline (e.g. Electrical Engineering, Computer Science, Computer Engineering, Mathematics, Physics) or equivalent combination of education, training, and experience in a related technical field

  • Advanced experience in Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, or Image Processing

  • Experience with modern software development tools and practices

  • TS/SCI clearance required to start

Desired Skills

  • Advanced degree in a STEM discipline

  • Proficiency in one or more of the following programming languages: Python, Java, C++, C#, or MATLAB

  • Experience with TensorFlow, PyTorch, Keras, or Scikit-learn

  • Experience with RF, SAR or EO image processing algorithms/techniques

  • Experience with AWS or another cloud computing platform

  • Excellent written and verbal communication skills

  • Ability to work in a collaborative and team-based environment

  • Proficient in AI prompting as it applies to this position and practice

LMSpaceAI

Benefits & conditions

Full-Time Salary Range: $91200.00 - $169400.00

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, 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.

About the company

By bringing together people that use their passion for purposeful innovation, at Lockheed Martin we 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 development 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.

At Lockheed Martin, we place an emphasis on empowering our employees by fostering innovation, integrity, and exemplifying the epitome of corporate responsibility.

Your Mission is Ours.

The Space AI Talent Center is seeking a highly skilled AI/ML Machine Learning Engineer to join a cross-functional team of experts in research, data science, software development, physics, and mathematics. As a key member of this team, you will leverage cutting-edge AI/ML tools and techniques to tackle the most complex challenges in Space - all in support of our national security.

This role offers a unique opportunity to collaborate with a diverse group of professionals, drive innovation, and contribute to the development of solutions that address critical problems in the Space domain.

The successful candidate will have advanced experience with and/or knowledge of: AI/ML, Deep Learning, or Computer Vision, modern software development practices/languages, and a passion for math and science.

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