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Staff Computer Vision Scientist

  • GE Corporate
  • Experienced
  • Posted 10/31/2017 11:50:39 AM
  • 2954929
  • Job Function: Digital Technology
  • Business Segment: Corporate Business Innovations
Location(s): United States; Massachusetts; Boston


About Us:
Avitas Systems is a wholly owned subsidiary of GE, the world’s Digital Industrial Company. At GE
and Avitas we are transforming industry with software-defined machines and solutions that are
connected, responsive and predictive. Through our people, leadership development, services,
technology and scale, Avitas delivers better outcomes for global customers by speaking the
language of industrial inspection.

Avitas offers a great work environment, professional development, challenging careers, and
competitive compensation. Avitas is an Equal Opportunity Employer. Employment decisions are
made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation,
gender identity or expression, age, disability, protected veteran status or other characteristics
protected by law.
GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

Role Summary:
The Staff Computer Vision Scientist would be a key member of the Advanced Analytics and Machine Learning team that will be responsible for curating and analyzing large sets of business and operations data of Avitas' customers across several industry verticals. This specific role would be to apply advanced analytics and machine learning techniques for tagging, classification, and automating feature and object recognition in images and video streams.

Essential Responsibilities:
The Staff Computer Vision Scientist will also very closely work with Subject Matter Experts and
Business Analysts to rapidly understand a specific business domain and iteratively refine the
analyses and the learning models to create high-fidelity automated analytics
solutions.

Responsibilities include but are not limited
to:
  • Work closely with Subject Matter Experts to collect requirements for
    various Computer Vision based applications
  • Conduct Computer Vision research, including
    collaborating with GE Global Research Team, and transition cutting edge computer vision out of
    the labs into the field
  • Investigate and apply image analytics and machine learning
    approaches and tools for detecting content of outdoor industrial asset images


Qualifications/Requirements:
Qualifications/Requirements
  • Ph.D. with specialization in Image Processing,
    Computer Vision, Artificial Intelligence, or Machine Learning
  • Minimum 5 years of hands-on
    experience in Computer Vision and Image Analytics with specific focus on feature and object
    detection for RGB and thermal imagery data
  • Advanced expertise in highly scalable
    Machine Learning Packages with specific extensions for Neural Engineering and Intelligent
    Learning
  • A top coder in Python, C/C++
    · Prior experience in deploying a Computer Vision based
    application

Eligibility Requirements


  • Must
    be willing to travel at least 10%

  • Must
    be willing to work out of an office located in Boston



Desired Characteristics:
  • System Engineering and API based integration experience for large production
    system


Locations: United States; Massachusetts; Boston

GE offers a great work environment, professional development, challenging careers, and competitive compensation.  GE is an Equal Opportunity Employer.  Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion​ of a background investigation and drug screen.


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