The Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models they create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements. The AI/ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. The AI/ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance. The AI/ML Engineer may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills.
At Lockheed Martin, we‘re a pioneering aerospace and defense company that‘s been at the forefront of innovation for decades. With a long-standing history of pushing boundaries, we‘re now shaping the future of cyber and intelligence. Our team is committed to innovating at the Edge, where we harness the latest advancements in Artificial Intelligence and Machine Learning, and cyber technologies to stay ahead of emerging threats and opportunities
At Lockheed Martin, you will work with our team of skilled AI/ML Engineers design, create, test, and productize AI/ML algorithms that learn, predict, and make informed Expert knowledge of multiple programming languages (i.e. Python, Java, C++ decisions, meeting the evolving needs of our customers. With strong familiarity with Hadoop, we develop and deploy scalable AI/ML models that integrate with data pipelines, infrastructure, and applications.
Providing ongoing training, mentorship, and development opportunities to help our cyber and intelligence professionals stay at the forefront of their field and achieve their career goals.
Medical and dental coverage.
401k retirement savings plan.
D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university is required.
Plus 5 years experience deploying machine learning algorithms is required.
A Masters degree may be substituted with 5 additional years experience deploying machine learning algorithms, if a relevant Bachelor‘s Degree is present.
Demonstrated abilities in software engineering and AI/ML model test and evaluation.
Expert knowledge of multiple programming languages (i.e. Python, Java, C++) is a plus.
Ability to Work Remotely:

Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility.
These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.
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.
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; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.
The application window will close in 90 days; At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world‘s most complex challenges. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. Business Unit:

RMS
Relocation Available:

No
Career Area:

Software Engineering
Shift: