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Urgent! AI / Machine Learning Engineer (early-career, on-site full time) Job Opening In Moorestown – Now Hiring Lockheed Martin
**Description:**
Join the Lockheed Martin Artificial Intelligence Center (LAIC) team and be part of a dynamic group that's pushing the boundaries of innovation in radar systems engineering, signal processing, data science, artificial intelligence, and machine learning.
As a key member of the Applied AI team, you'll have the opportunity to work on a wide range of projects that are transforming the way we approach complex challenges.
With a focus on rapid iteration and deployment, you'll be instrumental in developing and maintaining cutting-edge AI capabilities that are making a real impact 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, 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, 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.
**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
#LMLAIC
**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 (e.g. NumPy, Pandas)
•Knowledge of MLOps pipeline and modern machine learning techniques
**Desired Skills:**
• 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
**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:** Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility.
**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 California and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $86,100 - $151,800.
For states not referenced above, the salary range for this position will reflect the candidate’s final work location.
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 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.
This position is incentive plan eligible.
**Lockheed Martin is an equal opportunity employer.
Qualified candidates will be considered without regard to legally protected characteristics.**
**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.
**Experience Level:** Experienced Professional
**Business Unit:** ENTERPRISE BUSINESS SERVICES
**Relocation Available:** Possible
**Career Area:** Artificial Intelligence
**Type:** Full-Time
**Shift:** First
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Unlock Your AI Machine Potential: Insight & Career Growth Guide
Real-time AI Machine Jobs Trends in Moorestown, United States (Graphical Representation)
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Great news! Lockheed Martin is currently hiring and seeking a AI / Machine Learning Engineer (early career, on site full time) to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: AI / Machine Learning Engineer (early career, on site full time) Jobs Moorestown.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Lockheed Martin adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a AI / Machine Learning Engineer (early career, on site full time) Jobs United States varies, but the pay scale is rated "Standard" in Moorestown. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for AI / Machine Learning Engineer (early career, on site full time) typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your AI / Machine Learning Engineer (early career, on site full time) interview at Lockheed Martin, research the company, understand the job requirements, and practice common interview questions.
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