Main Requirements

  • Strong computer science background (Bachelor’s or Master’s Degree in Computer Science/Engineering or equivalent experience)
  • 1-3 years of professional experience programming in Python, Java, and/or C++
  • At least 2 years applying Machine Learning techniques
  • A self-motivated and self-directing attitude towards difficult and challenging problems
  • A desire to pursue the best technologies and solving problems with logic and reason
  • A willingness to take charge in creating and enforcing operation guidelines
  • Ability to design, develop, integrate and maintain new software functionality
  • Ability to work with previously written code and make modifications as necessary
  • Enthusiastic and energetic performer able to work in a dynamic, fast paced, and sometimes pressured environment
  • Team player incorporating a team based success philosophy
    Optional Requirements

  • Familiarity with deep machine learning, statistical models, and natural language processing
  • Familiarity with image and digital signal processing/recognition
  • PhD Degree in quantitative field with a strong Machine Learning background
  • Experience working with Internet-scale data sets and distributed computing tools (e.g., Spark).
  • Strong analytical and problem-solving skills
  • Experience with full-stack software development
  • English: Advanced
    Job Description / Responsibilities

  • Perform hands-on data analysis and modeling with huge data sets to develop insights
  • Create full-stack smart products for mobile devices, online services, TVs, smart homes as well as autonomous vehicles
  • Apply machine learning and data mining techniques to create AI solutions
  • Understand customer needs, perform analysis, and develop innovative data collection, management, analysis, and/or visualization solutions
  • Participate in the software development life cycle from design and development to documentation, testing and debugging
  • Adheres to all development standards while implementing features
  • Help attract and recruit technical talent