Polaris Alpha

Returning Candidate?

Machine Intelligence Engineer

Machine Intelligence Engineer

Req # 
Position Type 
Full Time
FLSA Status 
Security Clearance 
Preferred Top Secret/SCI
Colorado Springs, CO

More information about this job


In addition to a competitive salary, Polaris Alpha offers excellent benefits to full-time employees:

  • Medical, Dental, and Vision
  • Life and AD&D coverage at 3x annual salary
  • 401k plan, 4% non-elective contributions for all eligible employees and participants are 100% vested in plan from date of enrollment
  • 4+ weeks of PTO and 10 Paid Holidays observed
  • Education Assistance Program
  • Relocation may be considered

Benefits are subject to change

Job Description

Polaris Alpha has openings for passionate and innovative Machine Intelligence Engineers who have a mix of machine learning, artificial intelligence, data science, and software engineering skills to join our Analytics & Machine Intelligence team. At Polaris Alpha, you will have the opportunity to develop state-of-the-art pattern learning, cognitive search, predictive analysis, and hypothesis management solutions in support of commercial product development and national security R&D initiatives.

Required Skills

• Bachelor’s or Master’s in Computer Science, Mathematics, Physics, or similar discipline with minimum of 3 years relevant work experience
• Excellent programming, data analysis, and communication skills
• Experience with Scala and/or Java programming languages
• A self-starter who is able to be highly productive with minimal supervision
• Linux/Unix experience
• This position requires the selected candidate to hold an active Department of Defense TS/SCI level security clearance which requires US citizenship while working in support of a government contract.

Desired Skills

• Machine learning, artificial intelligence, and text mining
• Semantic reasoning technology (RDF, OWL, Description Logic, etc.)
• Event Stream Processing (ESP)
• Deep learning frameworks (TensorFlow, Deeplearning4j, Torch, etc.)
• Bayesian networks, HMMs, or other probabilistic graphical models
• Solr, Spark, Hadoop, Zookeeper, and/or NiFi distributed computing frameworks
• Cloud-based micro-service architectures
• Experience with Intelligence Community, DoD, and/or Space Systems
• Quantitative, multi-INT data fusion and analysis

Physical Demands and Working Conditions:
Normal office setting, therefore the noise level in the work environment is usually moderate. Work is generally sedentary in nature, but may require standing and walking. Use of hands to operate computer equipment. Frequent near vision use for reading and computer use.

Polaris Alpha is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, genetic information or disability status. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

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