Jobs via Dice
AI / Machine Learning Engineer (early-career, on-site full time)
Jobs via Dice, Moorestown, New Jersey, United States
Overview
AI / Machine Learning Engineer (early-career, on-site full time) Join Lockheed Martin Artificial Intelligence Center (LAIC) to work on radar systems engineering, signal processing, data science, AI, and machine learning. Be part of the Applied AI team, with opportunities to develop and deploy cutting-edge AI capabilities across the Lockheed Martin enterprise. What you'll be doing
Monitoring and maintaining fielded AI capabilities to ensure optimal performance Developing new capabilities to enhance ML monitoring and continuous update processes for deployed systems Analyzing customer data to inform ML model performance assessments and updates Collaborating with cross-functional teams to address evolving operational requirements Working on-site at major Lockheed Martin facilities (e.g., LM Moorestown, Valley Forge, Colorado, Orlando) with flexible hours outside of mission requirements What's In It For You
From onsite to remote, we offer flexible work schedules and a comprehensive benefits package supporting your future and security. Who are you
You are a highly motivated and organized individual with a strong working knowledge in radar systems engineering, signal processing, data science, artificial intelligence, and machine learning. You possess: A strong foundation in ML model development and deployment Excellent interpersonal and communication skills to work effectively in a team A self-motivated and proactive approach with strong work ethic and time management The ability to work on-site at major Lockheed Martin facilities, with occasional off-hours work for mission needs Eligibility to work on this role Basic Qualifications
Bachelor's Degree in Engineering, Computer Science, or related field Experience with large dataset management and machine learning Proficiency in Python and related libraries (NumPy, Pandas) Knowledge of MLOps pipeline and modern ML techniques Desired Skills
Master's Degree in Engineering, Computer Science, or related discipline Experience with DevOps tools: Docker, Git (GitLab, GitHub), CI/CD Familiarity interfacing with databases (SQL, MongoDB, etc.) Experience with modern Computer Vision Experience with C++, Java, Go, and other compiled languages Experience developing applications on Linux Familiarity with networks/messaging (UDP, ZeroMQ, RESTful API) Familiarity with high-performance computing Familiarity with radar systems and track processing EEO
Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.
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AI / Machine Learning Engineer (early-career, on-site full time) Join Lockheed Martin Artificial Intelligence Center (LAIC) to work on radar systems engineering, signal processing, data science, AI, and machine learning. Be part of the Applied AI team, with opportunities to develop and deploy cutting-edge AI capabilities across the Lockheed Martin enterprise. What you'll be doing
Monitoring and maintaining fielded AI capabilities to ensure optimal performance Developing new capabilities to enhance ML monitoring and continuous update processes for deployed systems Analyzing customer data to inform ML model performance assessments and updates Collaborating with cross-functional teams to address evolving operational requirements Working on-site at major Lockheed Martin facilities (e.g., LM Moorestown, Valley Forge, Colorado, Orlando) with flexible hours outside of mission requirements What's In It For You
From onsite to remote, we offer flexible work schedules and a comprehensive benefits package supporting your future and security. Who are you
You are a highly motivated and organized individual with a strong working knowledge in radar systems engineering, signal processing, data science, artificial intelligence, and machine learning. You possess: A strong foundation in ML model development and deployment Excellent interpersonal and communication skills to work effectively in a team A self-motivated and proactive approach with strong work ethic and time management The ability to work on-site at major Lockheed Martin facilities, with occasional off-hours work for mission needs Eligibility to work on this role Basic Qualifications
Bachelor's Degree in Engineering, Computer Science, or related field Experience with large dataset management and machine learning Proficiency in Python and related libraries (NumPy, Pandas) Knowledge of MLOps pipeline and modern ML techniques Desired Skills
Master's Degree in Engineering, Computer Science, or related discipline Experience with DevOps tools: Docker, Git (GitLab, GitHub), CI/CD Familiarity interfacing with databases (SQL, MongoDB, etc.) Experience with modern Computer Vision Experience with C++, Java, Go, and other compiled languages Experience developing applications on Linux Familiarity with networks/messaging (UDP, ZeroMQ, RESTful API) Familiarity with high-performance computing Familiarity with radar systems and track processing EEO
Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.
#J-18808-Ljbffr