A/AI Machine Learning Engineer / Littleton, CO

Autonomy/AI ML Software Engineer

At Lockheed Martin, we apply our passion for purposeful innovation to keep people safe and solve the world's most complex challenges.

Mission-Focused Innovation: From aerospace to outer space to cyber space, you can solve the world's most complex challenges for our customers.

Foundational Values: Our culture of performance excellence, ethics, teamwork and inclusion is embedded in everything we do.

Diverse Career Opportunities with Meaningful Work: Grow your career and skills for life. Our technology-driven learning platforms and programs enable your development and agility.

Your Health, Your Wealth, Your Life: Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work.

Empowered to Be Your Best: Use your strengths to make a difference in the lives of one another, our customers, our communities and our planet.

Commitment to Sustainability: We foster innovation, integrity and security to preserve the environment, strengthen diverse communities and propel growth.

Here, the possibilities are endless because we offer:

• Flexible Schedules, dependent on role
• Levels: Student, Entry, Mid, Senior, Management
• Locations: Nationwide & OCONUS Positions

Qualifications

• Collaborative
• Curious
• Goal-oriented
• Proactive
• Problem Solver
• Strategic

Quote

"Before I came to Lockheed Martin, I never thought I'd get these opportunities. The benefits available and the company's value culture make it an incredibly supportive place to work, and I'm grateful to work somewhere that wants me to succeed. I hope to have a long career here making an impact, and I know I'll be supported in doing that every step of the way."

Ryan J., Enterprise Operations

Benefits

• Healthcare
• 401(k)/Retirement Plans
• Professional Development
• Maternity and Paternity Leave
• Paid Time Off
• Flex-time

Job Responsibilities

The Autonomy/AI ML Software Engineer is responsible for developing, integrating, and deploying autonomy and artificial intelligence algorithms for mission systems and production and maintenance operations. Translates requirements and develops code, determining appropriate software methods, training system to recognize patterns to perform specific functions. Supports the technology development life cycle from requirements generation through development, integration, scenario development and modeling, testing and debugging.

May support research and development on prototyping of autonomous systems in some organizations.

Key Responsibilities

• 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
• Interfaces with other teams involved the development lifecycle for perception, mission and motion planning, simulation and modeling, testing, etc.

Basic Qualifications:

• Must have the ability to obtain a secret clearance.
• Experience in machine learning frameworks and deep learning toolsets (eg. TensorFlow PyTorch, Caffe, Keras, etc.)
• Experience designing and implementing ML techniques aimed at solving specific problems
• Experience with applications in supervised learning (eg. classification, regression, etc.), unsupervised learning (eg. clustering, dimension reduction, generative modeling, etc.) and reinforcement learning (eg. model-based or model-free methods)
• Experience working with analyzing large scale data from a variety of sources and applying statistical methods
• Experience with programming languages (eg. Python, C++, Java, MatLab, CUDA, etc.) and ability to learn and transition to new programming languages as needed
• Experience training and evaluating Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), and/or Recurrent Neural Networks (RNNs)
• Experience with CNN model generation, RNN model generation, and reinforcement learning techniques
• Experience with signal processing, computer vision (including OpenCV)
• Experience with robotics (including ROS)
• Experience with planning algorithms
• Knowledge of classical AI techniques
• Experience with modeling and simulation on CPU and GPU architectures
• Solid understanding of testing planning and procedures including validation and verification of system behaviors
• Undergraduate/Masters/PhD degree in computer science, mathematics, applied statistics, various engineering disciplines, or related STEM discipline

Desired Skills:

Important skills include: python coding, AI/ML algorithm expertise, data analysis, mathematics, FOSS, cloud-based software development

Desired skills include any of the following: Docker/Kubernetes, computer vision, fusion, optimization, signal processing, software architecture / microservices, high-performance computing, C/C++, Java

Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration.

Clearance Level: Secret

Other Important Information You Should Know

Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.

Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.

Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.

Schedule for this Position: 4x10 hour day, 3 days off per week

Pay Rate:

The annual base salary range for this position in Colorado or Washington is $82,700 - $158,500. Please note that the salary information 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 and business considerations when extending an offer.

Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.

(Washington state applicants only) Non-represented full time employees: accrue 10 hours per month of Paid Time Off (PTO); receive 40 hours of Granted PTO annually for incidental absences; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of PTO per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO is prorated based on hours worked and start date during the calendar year.

This position is incentive plan eligible.

Lockheed Martin is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those