984 IT & Software Developer jobs in the US
National Business Parkway 410, Annapolis Junction
$139,600 - 246,100
Requirements
Must:
We require candidates to hold either a Master's or Ph.D. degree in advanced mathematics, artificial intelligence, data science, computer science, or deep learning from an accredited institution. Additionally, a minimum of 10 years of experience in deploying machine learning algorithms is essential. Alternatively, a Bachelor's degree may substitute for a Master's, provided you have 17 years of relevant experience. Candidates should demonstrate strong software engineering skills and have capabilities in testing and evaluating AI/ML models. A TS/SCI clearance with polygraph is required.
Responsibilities
As an Artificial Intelligence/Machine Learning (AI/ML) Engineer, you will design, develop, test, and implement AI/ML algorithms aimed at addressing various business challenges. Your models should be adept at learning and making predictions based on the defined business logic to meet customer needs. You’ll need to have a solid understanding of model architecture, data pipeline interactions, and the application, interpretation, and presentation of metrics. Familiarity with core principles of application development, infrastructure management, data engineering, and data governance is also needed. You will be responsible for creating scalable solutions that enhance performance through continuous training, deployment, monitoring, and improvements based on user and system feedback. If leading geographically diverse teams and serving as the primary point of contact for AI-related issues, exceptional analytical, problem-solving, and communication skills are crucial.
Description
At Lockheed Martin, we pride ourselves on being a pioneering aerospace and defense organization with a rich history of innovation. We are dedicated to advancing the future of cyber and intelligence by leveraging cutting-edge advancements in AI, Machine Learning, and cyber technologies. When you join our team of highly skilled AI/ML Engineers, you will collaborate to develop robust models that meet the evolving demands of our clients. We offer continual training, mentorship, and development opportunities to ensure our professionals remain at the forefront of their fields while achieving their career aspirations. In addition to a competitive and comprehensive benefits package, we reward hard work, provide medical and dental coverage, a 401(k) retirement savings plan, and generous paid time off for work-life balance. We value a diverse workplace and encourage applicants to express their interest in this position and potential future opportunities where they may be a good fit. At Lockheed Martin, our employees are our priority, and we strive to create an inclusive environment based on integrity and corporate responsibility. If our values resonate with you, we invite you to apply for this exciting opportunity.
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You can find Machine Learning Engineer salaries in the United States here.
How many Machine Learning Engineer jobs are in the United States?
Currently, there are 984 ML, AI openings. Check also: TensorFlow jobs, Python jobs, Computer-Vision jobs - all with salary brackets.
Is the US a good place for Machine Learning Engineers?
The US is one of the best countries to work as a Machine Learning Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Machine Learning Engineer jobs in the United States?
Sperasoft, Archon Systems Inc, Giesecke+Devrient, LGS, une Société IBM / an IBM Company, Nexio, Crown USA Incorporated, Crescent Systems, Inc. among others, are currently hiring for ML, AI roles in the United States.
The company with most openings is Leidos as they are hiring for 89 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.
The company with most openings is Leidos as they are hiring for 89 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.
