• Deep Learning Analytics - Data Scientist Software Engineer

    Posted Date 2 months ago(7/31/2019 9:25 AM)
    Job Location
    Required Clearance
    Top Secret, obtainable within 24 months
    Employment Type
    Full Time
    Hiring Company
    General Dynamics Mission Systems
  • Basic Qualifications

    Bachelor's degree in software engineering or a related technical field is required (or equivalent experience), plus a minimum of 5 years of relevant experience; or Master's degree plus a minimum of 3 years of relevant experience. Agile experience preferred.


    Ability to obtain a Department of Defense security clearance. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.

    Responsibilities for this Position

    General Dynamics Mission Systems’ Deep Learning Analytics Center of Excellence is searching for a Data Scientist to work with a dedicated team of research scientists and engineers to develop machine learning algorithms. If you have experience with machine learning and are an innovative thinker who can bring new perspectives to our team, send us your resume.


    What you will be doing:


    • Lead the design and development of machine learning algorithms to support and achieve customer goals
      • Draw on expertise and research to apply data science and machine learning to challenging problems over a broad range of domains
      • Collaborate with our team of engineers to implement data driven solutions
    •  Assignments vary by task and may require you to:
      • Wrangle and preprocess data (e.g. image, video, speech, text) for use in machine learning algorithms
      • Wrangle and manipulate modeled data, such as common 3D vertex-face surface representations, computer simulations, and game engine results
      • Comply with government-defined ICDs for inputs (data) and outputs (performance metrics and object recognition specification)
      • Develop machine learning systems to perform supervised and unsupervised learning
      • Develop a proficiency with deep learning algorithms, design considerations, and methods to overcome their limitations or constraints due to hardware or data
      • Plan and conduct experiments to improve model performance, cogently communicate results to team members and external non-technical leadership
      • Export deep architectures onto a small SWAP hardware platform (such as an FPGA or GPU SoC systems)
      • Optimize deep architectures for performance, and implement systems to formalize and support such optimization
      • Support and enhance any of the above in the context of current projects
    • Comply with all government compliance requirements, including security protocols, time charging, and ethics, among others 

    Technical Skills

    • Machine learning and deep learning in Python and CUDA (including scikit-learn, TensorFlow, Caffe / Caffe2, PyTorch, etc.)
    • Communication of complex technical material (in PowerPoint, Word, etc.)
    • DevOps, including machine provisioning (e.g. Vagrant, Puppet, Docker)
    • Familiarity with the Linux command line (bash scripting)
    • Experience working with large, complex datasets (images, cyber, NLP, and other signals)
    • Distributed version control systems (e.g. git)
    • Data preparation and corpus filtering (with PostgresSQL, mySQL, and other DBs)
    • Validation methods
    • Experimental design
    • Experience Required

    Company Overview

    General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation.  With a global team of 13,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas.  Given the nature of our work and who we are, we value trust, honesty, alignment and transparency.  We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose.  You will also enjoy a flexible work environment where contributions are recognized and rewarded.  If who we are and what we do resonates with you, we invite you to join our high performance team!


    General Dynamics is an Equal Opportunity/Affirmative Action Employer that is committed to hiring a diverse and talented workforce.  EOE/Disability/Veteran


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