Deep Learning Analytics Data Scientist Software Engineer

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Negotiable

Permanent

Description

SunIRef:it



Deep Learning Analytics - Data Scientist Software Engineer



General Dynamics Mission Systems



343 reviews



-



Middletown, PA



General Dynamics Mission Systems



343 reviews



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Basic Qualifications



Bachelors degree in software engineering or a related technical field is required (or equivalent experience), plus a minimum of 2 years of relevant experience; or Masters degree. Agile experience preferred.



CLEARANCE REQUIREMENTS:

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 Mission Systems - Today

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