Principal Advanced Technology Engineer - 26979 in San Diego, CA at Alion Science and Technology

Date Posted: 10/23/2018

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    San Diego, CA
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
    10/23/2018
  • Job ID:
    26979

Job Description



Responsibilities/Qualification

Position Summary

The Advanced Technology Engineer Principal is responsible for developing a portfolio of advanced technology products across business units. Will play a key role in the technology lifecycle of new products, features or enhancements from conceptualization, requirements gathering, product specification, implementation and release. Works on Artificial Intelligence projects and other advanced technology projects or business issues requiring state of the art technical knowledge.   Will be the subject matter in-house expert on specific technologies as well as active external interface to the client and the advanced technical community.

Duties and Responsibilities          

  • Plans, prepares and presents product introduction strategies
  • Provides consultation in the early life cycle of the product.
  • May participate in the forecasting and financial aspects of the product.
  • Apply advanced technical principles, theories and concepts, and contribute to development of new principles and concepts.
  • Develops and programs integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments.
  • Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms.
  • Uses machine language and statistical modeling techniques to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy.
  • Use current programming language and technologies to translate algorithms and technical specifications into code.
  • Apply deep learning technologies to provide the capability to visualize, learn and respond to complex situations.
  • Adapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience.
  • Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
  • Exercises independent judgment in methods, techniques and evaluation criteria for obtaining results.
  • Provides guidance to less experienced staff.

 Education and Experience

Master’s degree in Computer Science, Math, Statistics, Machine Learning, Engineering or related field plus 10-12 years of experience.

In some cases, educational requirements may be adjusted or waived for applicable work experience. Work experience may be adjusted for highly specialized knowledge or uniquely applicable experience for positions involving new technology or labor market shortages as reflected by 
market survey data.

     Knowledge, Skills, Abilities

Experience in applying machine learning or deep learning tools

Experience in the transition and loading of disparate data sets

Experience in cloud computing and multi-level security

Possess the strongest of skills acquired through advanced training, study and experience.

Exceptional attention to detail.

Knowledge in decision trees, logistic regression, Bayesian analysis.

Experience conducting research on emerging technologies.

Excellent written and verbal communication skills and the ability to think critically.

A security clearance of an appropriate level may be required as part of employment.



Diversity Statement

Women, minorities, individuals with disabilities and veterans are encouraged to apply.  Alion will provide a reasonable accommodation to individuals with disabilities and disabled veterans who need assistance to apply.  Please visit the Alion Careers site for more information

U.S. Citizenship Required.

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