AI / Machine Learning Engineer (early-career, on-site full time)
- Moorestown, NJ
- $99,000-171,580 per year
- Permanent
- Full-time
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, including LM Moorestown, Valley Forge, Colorado, and Orlando, with flexible hours available outside of 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, 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.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 technical skills, including ML model development and deployment
Excellent interpersonal and communication skills, with the ability to work effectively in a team environment
A self-motivated and proactive approach to work, with a strong work ethic and time management skills
The ability to work on-site at major Lockheed Martin facilities, with occasional off-hours work required to meet mission needs
US citizenship is required for this role#LMLAICBasic 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 (e.g. NumPy, Pandas)
- Knowledge of MLOps pipeline and modern machine learning techniques
- Master's Degree in Engineering, Computer Science, or other related discipline
- Experience with DevOps tools: Docker, Git [GitLab, GitHub], Continuous Integration [CI], Continuous Deployment [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 network/messaging (UDP, ZeroMQ, RESTful API, etc.)
- Familiarity with high-performance computing
- Familiarity with radar systems and track processing
The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.*Join us at , where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They're dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about.As a leading technology innovation company, 's vast team works with partners around the world to bring proven performance to our customers' toughest challenges. has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories.Other Important InformationBy 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 remotelyOnsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility.Work Schedule InformationLockheed 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.Security Clearance InformationThis position requires a government security clearance, you must be a US Citizen for consideration.Work Schedule4x10 hour day, 3 days off per weekSelect the Telework classification for this positionEmployee will work on-site full-time