Main Requirements

    – A 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