Machine Learning - Signal and Image Processing Engineer, Orlando FL

Description:Lockheed Martin's Missiles and Fire Control business is experiencing some substantial growth at our campus in sunny Orlando, FL. We are seeking a .
an experienced professional with significant experience in Machine Learning, specifically experience using Deep Learning architectures, to join our team!

The position will require the candidate to use deep learning techniques, reinforcement learning and related decision-making analytics that apply to various applications where processing resources and training data may be limited.

Relocation: Relocation assistance is possible for this exciting position.
The Locale: Orlando is a city in the Central Florida area. This region is a great place to live and to raise a family. Central Florida offers lots of attractive residential housing options. The Greater Orlando metropolitan area is the sixth largest metro area in the southeastern United States. The climate here is warm and sunny all year long for the most part. Orlando is home to Walt Disney World, Universal Studios Florida, and SeaWorld. Orlando is also home to the second largest University in the US, the University of Central Florida (UCF). Where can you get to from Orlando? Orlando is about an hour's drive from Cocoa Beach and the "space coast" to include NASA and the Kennedy Space Center. Tampa is about 1.5 hours from Orlando. West Palm Beach is about 2.5 hours to the south and Jacksonville is about 2 hours to the northeast. Atlanta, GA is 6 hours to the northwest.
Basic Qualifications:
• Experience using data analytics and applying analytics to better understand how to use deep learning to make decisions

• Strong analytical and quantitative problem-solving skills.

• Experience in a statistical modeling, artificial intelligence, machine learning, or data mining practice.

• Prior experience with (Deep) Neural Networks.

• Strong background in Machine Learning (Deep Learning) including the utilization of popular toolkits such as Keras/TensorFlow, Caffe, Azure, Torch, etc.

• Proficient in one or more programming languages such as MATLAB, Java, C++, or Python

• Currently holds a Secret clearance or higher.
Desired Skills:
• Knowledge of Reinforcement learning for decision making.

• Prior experience with a few of the following models: Logistic Regression, Linear Regression, Support Vector Machines, Hidden Markov Models, Conditional Random Fields, Markov Logic Nets.

• The ability to define and design new deep learning architectures/frameworks is highly desired.
BASIC QUALIFICATIONS:
• Experience using data analytics and applying analytics to better understand how to use deep learning to make decisions

• Strong analytical and quantitative problem-solving skills.

• Experience in a statistical modeling, artificial intelligence, machine learning, or data mining practice.

• Prior experience with (Deep) Neural Networks.

• Strong background in Machine Learning (Deep Learning) including the utilization of popular toolkits such as Keras/TensorFlow, Caffe, Azure, Torch, etc.

• Proficient in one or more programming languages such as MATLAB, Java, C++, or Python

• Currently holds a Secret clearance or higher.
Lockheed Martin is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
Join us at Lockheed Martin, 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, Lockheed Martin's vast team works with partners around the world to bring proven performance to our customers' toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories.


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