AI Software & System Architect Lead (on-site, Moorestown NJ)
About the position
Are you ready to join a team that's pushing the boundaries of innovation and making a real impact in the field of artificial intelligence? The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a highly motivated and skilled individual to support the Applied AI team and radar track processing product portfolio, DevSecOps, software, data science, data at scale, artificial intelligence, and are passionate about working on a broad range of projects that can make a real difference, we want to hear from you. What you'll be doing: Leading the monitoring and maintenance of fielded AI capabilities and developing new capabilities to enhance ML monitoring and continuous update processes for deployed systems Analyzing customer data and assessing ML model performance to identify areas for improvement Developing and updating ML models to address evolving operational requirements Collaborating with cross-functional teams to rapidly iterate and mature solutions Providing continuous maintenance for deployed products using machine learning operations paradigms Who are you: You are a highly motivated and skilled individual with: A strong working knowledge of radar systems engineering, signal processing, DevSecOps, software, data science, data at scale, artificial intelligence, and machine learning Excellent self-motivation, work ethic, time management, and interpersonal skills The ability to work effectively in a team environment and collaborate with cross-functional teams A strong understanding of machine learning operations paradigms and experience with continuous maintenance of deployed products The ability to obtain and maintain a security clearance A US Citizenship requirement due to the nature of the work Ability to work on site at LM Moorestown between 50% and full time, with occasional off-hours work required to meet mission requirements What’s In It For You From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, Learn more about Lockheed Martin’s comprehensive benefits package here. Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus -if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you. #LMLAIC
Responsibilities
• Leading the monitoring and maintenance of fielded AI capabilities and developing new capabilities to enhance ML monitoring and continuous update processes for deployed systems
• Analyzing customer data and assessing ML model performance to identify areas for improvement
• Developing and updating ML models to address evolving operational requirements
• Collaborating with cross-functional teams to rapidly iterate and mature solutions
• Providing continuous maintenance for deployed products using machine learning operations paradigms
Requirements
• A strong working knowledge of radar systems engineering, signal processing, DevSecOps, software, data science, data at scale, artificial intelligence, and machine learning
• Excellent self-motivation, work ethic, time management, and interpersonal skills
• The ability to work effectively in a team environment and collaborate with cross-functional teams
• A strong understanding of machine learning operations paradigms and experience with continuous maintenance of deployed products
• The ability to obtain and maintain a security clearance
• A US Citizenship requirement due to the nature of the work
• Ability to work on site at LM Moorestown between 50% and full time, with occasional off-hours work required to meet mission requirements
• Bachelor’s Degree in Engineering, Computer Science, or other related discipline
• Skilled in training and analysis steps in a modern MLOps pipeline such as: labeling, local and global explainability, model export and serialization, conformance testing, deployment, and monitoring
• Experience with DevOps tools: Docker, Git [GitLab, GitHub], Continuous Integration [CI], Continuous Deployment [CD]
• Skilled in Python and multiple libraries (NumPy, SciPy, Pandas, etc.)
• Ability to obtain a Secret government security clearance
Nice-to-haves
• Master’s Degree in Engineering, Computer Science, or other related discipline
• Skilled in leading long-term programs related to software and machine learning
• Experience interfacing with databases (SQL, MongoDB, etc.)
• Experience with machine learning model training and analysis through open-source frameworks (Pytorch, Tensorflow, Sklearn, Keras, etc)
• Experience with Rust, C++, and other compiled languages
• Experience with test events or integration activities
• Experience coordinating long term program execution across organizations
• Skilled in serving as an external spokesperson on significant technical matters related to software, machine learning, and radar systems
Benefits
• 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
• Holidays
Apply Now
Apply Now
Are you ready to join a team that's pushing the boundaries of innovation and making a real impact in the field of artificial intelligence? The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a highly motivated and skilled individual to support the Applied AI team and radar track processing product portfolio, DevSecOps, software, data science, data at scale, artificial intelligence, and are passionate about working on a broad range of projects that can make a real difference, we want to hear from you. What you'll be doing: Leading the monitoring and maintenance of fielded AI capabilities and developing new capabilities to enhance ML monitoring and continuous update processes for deployed systems Analyzing customer data and assessing ML model performance to identify areas for improvement Developing and updating ML models to address evolving operational requirements Collaborating with cross-functional teams to rapidly iterate and mature solutions Providing continuous maintenance for deployed products using machine learning operations paradigms Who are you: You are a highly motivated and skilled individual with: A strong working knowledge of radar systems engineering, signal processing, DevSecOps, software, data science, data at scale, artificial intelligence, and machine learning Excellent self-motivation, work ethic, time management, and interpersonal skills The ability to work effectively in a team environment and collaborate with cross-functional teams A strong understanding of machine learning operations paradigms and experience with continuous maintenance of deployed products The ability to obtain and maintain a security clearance A US Citizenship requirement due to the nature of the work Ability to work on site at LM Moorestown between 50% and full time, with occasional off-hours work required to meet mission requirements What’s In It For You From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, Learn more about Lockheed Martin’s comprehensive benefits package here. Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus -if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you. #LMLAIC
Responsibilities
• Leading the monitoring and maintenance of fielded AI capabilities and developing new capabilities to enhance ML monitoring and continuous update processes for deployed systems
• Analyzing customer data and assessing ML model performance to identify areas for improvement
• Developing and updating ML models to address evolving operational requirements
• Collaborating with cross-functional teams to rapidly iterate and mature solutions
• Providing continuous maintenance for deployed products using machine learning operations paradigms
Requirements
• A strong working knowledge of radar systems engineering, signal processing, DevSecOps, software, data science, data at scale, artificial intelligence, and machine learning
• Excellent self-motivation, work ethic, time management, and interpersonal skills
• The ability to work effectively in a team environment and collaborate with cross-functional teams
• A strong understanding of machine learning operations paradigms and experience with continuous maintenance of deployed products
• The ability to obtain and maintain a security clearance
• A US Citizenship requirement due to the nature of the work
• Ability to work on site at LM Moorestown between 50% and full time, with occasional off-hours work required to meet mission requirements
• Bachelor’s Degree in Engineering, Computer Science, or other related discipline
• Skilled in training and analysis steps in a modern MLOps pipeline such as: labeling, local and global explainability, model export and serialization, conformance testing, deployment, and monitoring
• Experience with DevOps tools: Docker, Git [GitLab, GitHub], Continuous Integration [CI], Continuous Deployment [CD]
• Skilled in Python and multiple libraries (NumPy, SciPy, Pandas, etc.)
• Ability to obtain a Secret government security clearance
Nice-to-haves
• Master’s Degree in Engineering, Computer Science, or other related discipline
• Skilled in leading long-term programs related to software and machine learning
• Experience interfacing with databases (SQL, MongoDB, etc.)
• Experience with machine learning model training and analysis through open-source frameworks (Pytorch, Tensorflow, Sklearn, Keras, etc)
• Experience with Rust, C++, and other compiled languages
• Experience with test events or integration activities
• Experience coordinating long term program execution across organizations
• Skilled in serving as an external spokesperson on significant technical matters related to software, machine learning, and radar systems
Benefits
• 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
• Holidays
Apply Now
Apply Now