Lockheed Martin Logo

Lockheed Martin

A/AI Machine Learning Engineering Asc - Early Career

Posted 14 Hours Ago
Be an Early Applicant
In-Office
Littleton, CO, USA
75K-140K Annually
Entry level
In-Office
Littleton, CO, USA
75K-140K Annually
Entry level
Develops, integrates, tests, and deploys autonomy, artificial intelligence, and machine learning algorithms for mission systems. Responsibilities include translating requirements into software, implementing perception, planning, and controls functionality, troubleshooting and debugging, reviewing test outcomes, and developing human-machine interface scenarios. The role supports the full technology development lifecycle and requires collaboration across technical teams.
The summary above was generated by AI
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

Basic Qualifications
  • Bachelor’s degree in engineering, computer science, data science, mathematics, physics, or a related technical field.
  • Experience with Python or other relevant programming languages.
  • Familiarity with AI/ML, data analytics, or automation concepts.
  • Demonstrated ability to learn new technologies, tools, and processes quickly.
  • Ability to obtain and maintain a security clearance, as required.
  • Must be a U.S. citizen where required for the position.
Desired Skills
  • Strong communication, teamwork, and problem-solving skills.
  • Experience working with technical data, models, or engineering tools.
  • Strong analytical and problem-solving skills.
  • Ability to communicate technical concepts to both technical and non-technical audiences.
  • Ability to work effectively in a collaborative, cross-functional environment.
  • Interest in learning new technologies and taking on increasing technical responsibility.

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, 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.

Lockheed Martin Aurora, Colorado, USA Office

Aurora, United States

Lockheed Martin Castle Rock, Colorado, USA Office

Castle Rock, United States

Lockheed Martin Denver, Colorado, USA Office

Denver, United States

Lockheed Martin Englewood, Colorado, USA Office

Englewood, United States

Lockheed Martin Lakewood, Colorado, USA Office

Lakewood, United States

Lockheed Martin Littleton, Colorado, USA Office

Littleton, United States

Lockheed Martin Thornton, Colorado, USA Office

Thornton, United States

Similar Jobs

14 Hours Ago
In-Office
Littleton, CO, USA
75K-140K Annually
Entry level
75K-140K Annually
Entry level
Aerospace • Security • Cybersecurity • Industrial
Develops, integrates, tests, and deploys autonomy, artificial intelligence, and machine learning algorithms for mission systems. Translates requirements into software, supports perception, planning, controls, and human-machine interfaces, and troubleshoots and documents systems throughout the development lifecycle. Collaborates across technical teams and applies analytical and problem-solving skills to advance Lockheed Martin products and platforms.
Top Skills: Artificial IntelligenceAutomationAutonomy AlgorithmsData AnalyticsHuman-Machine InterfacesMachine LearningPython
3 Minutes Ago
In-Office
2 Locations
96K-138K Annually
Senior level
96K-138K Annually
Senior level
Aerospace • Cloud • Digital Media • Information Technology • Mobile • News + Entertainment • Generative AI
Serves as a strategic HR advisor to business and executive leaders, providing data-driven recommendations across talent, organizational design, compensation, employee experience, performance management, compliance, and change management. Coaches leaders, supports workforce and talent planning, guides HR program implementation, and partners with shared HR services to improve processes and employee outcomes. Requires regular attendance at a DISH facility and travel of less than 10%.
30 Minutes Ago
In-Office
Longmont, CO, USA
125K-213K Annually
Entry level
125K-213K Annually
Entry level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Direct SSD and next-generation system qualification through test planning, validation, certification, debugging, and data analysis. Develop and improve test automation and debug tools, perform system- and drive-level testing with electrical measurement equipment, resolve failures, and collaborate with global engineering teams to ensure product requirements, quality, compliance, and performance standards are met.
Top Skills: Bus AnalyzersCEmbedded SystemsGmpIsoLinuxNandOscilloscopesProtocol AnalyzersPythonSsdTest AutomationWindows

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account