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Summer Internship in Active Prediction

Malibu, CA, USA Req #178
Monday, November 18, 2019

ASSIGNMENT DURATION: 2-4 Months
 

LABOR CHARGE: DIRECT
 

SCHEDULED WORK WEEK HOURS: 20-40 hours/week
 

EDUCATION DESIRED: MS, Ph.D. or pursuing a graduate degree in Computer Science, Network Science, Data Science, Machine Learning, or Applied Math.


ESSENTIAL JOB FUNCTIONS: Assist technical staff in the design, implementation and performance evaluation of machine learning and teaching algorithms applied to problems in extreme, rare and novel event predictions, security analytics, and vehicle/platform health management.
 

EXPERIENCE DESIRED: Class projects or work/internship experience in machine learning techniques applied to problems in security analytics, design optimization, and societal event predictions.Programming experience with Python, Java, C/C++, R and/or Matlab. Experience with Apache Spark, YARN, GraphX, MapReduce or Hadoop.


KNOWLEDGE DESIRED: Machine learning, security analytics, strong programming skills, particularly proficient with Python, Java, R, C/C++, and/or Matlab.


ESSENTIAL PHYSICAL/MENTAL REQUIREMENTS: Good communication, presentation and writing skills.
 

SPECIAL REQUIREMENTS (e.g. driver’s license special tools or restrictions): U.S. citizenship or permanent resident status required.

This position must meet Export Control compliance requirements, therefore a "U.S. Person" as defined by 22 C.F.R. § 120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee.

Selected candidates will be hired through a temporary agency and subject to the agency's pre-employment substance abuse testing.

Other details

  • Pay Type Hourly
  • Employment Indicator Internship
  • Malibu, CA, USA