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Machine Learning Signal Processing Engineer

MITRE


Location:
Bedford, MA
Date:
02/05/2018
2018-02-052018-03-17
Categories:
  • Engineering
  • Information Technology
  • Communications
  • Computer Engineering
  • Signal Processing
MITRE
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Job Details

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challengesand we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every dayworking for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth. If this sounds like the choice you want to make, then choose MITREand make a difference with us.




MITRE seeks motivated and innovative engineers interested machine learning research applied to signal processing applications towards the development of enhancing our nations systems for navigation, timing, wireless communications, and surveillance and reconnaissance sensors.




Developing, applying and evaluating state-of-the-art machine learning algorithms to challenging signal processing problems for RF spectrum operations that includes secure wireless communications systems, navigation systems, or sensor systems. The successful candidate should have a strong interest and some relevant background with machine learning, pattern recognition, and/or statistical signal processing applied to at least one of the following signal processing applications:




key Functions:



  • Support wireless communications systems development and analysis, including modulation, coding, channel equalization, interference cancellation, and geolocation for cognitive radio applications.



  • Support projects developing, applying and evaluating state-of-the-art signal processing algorithms for satellite navigation systems. Tasks focus on development of advanced navigation signals and receiver signal-time system-level demonstration.

  • Support projects developing, applying and evaluating state-of-the-art signal processing algorithms for sensor systems. Tasks focus on the use of sensing technologies, such as radar and video, to support defense and intelligence applications. 


The candidate is expected to



  • Design and analyze representation learning and deep/machine learning architectures compared to tradition signal processing.

  • Learn quickly on the job.

  • Interface directly with defense and intelligence community sponsors and other contractors.

  • Apply signal processing, electrical engineering, systems engineering, computer science, and machine learning to a diverse set of challenges.












Candidates must exhibit:



  • An exceptionally clear and structured thought process and coherent decision-making skills.

  • The ability to adapt and expand ones skillset to solve the problem at hand.

  • A desire to focus on technical and high impact work above all other factors.

  • Ability and desire to document results through technical and non-technical briefings, memos, and formal reports.

  • Ability to work in classified environments.
Preferred Qualifications:



  • Candidates will have a background in electrical engineering, physics, computer science or mathematics and a strong foundation in both signal processing and machine learning. We are also looking for experience in information and communication system engineering, estimation and classification, radar systems, and image and video processing.

  • The candidate should have academic and/or professional experience with as many of the following topics as possible:

  • Supervised/Unsupervised learning processes

  • Variety of machine learning structures: support vector machine, probabilistic graphical models, neural networks, etc.

  • Digital signal processing and stochastic processes

  • Engineering mathematics: calculus, differential equations, linear algebra

  • Wireless communications

  • Detection and estimation

  • Proficient with Python, C/C++, and/or MATLAB

  • Software development, debugging, and support

  • Data parsing, reduction, analysis, and visualization.
A BS or a MS degree in Electrical or Computer Engineering, Computer Science, or a similar field.

 


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