Staff Computer Vision Research Engineer

Job description

3181579
Additional Cities

Boston
Career Level

Experienced
Relocation Assistance

Yes
Business

GE Corporate
Business Segment

Corporate Business Innovations
Function

Digital Technology
Country/Territory

United States
Additional States/Provinces

Massachusetts
Postal Code

02210
Role Summary/Purpose

Help the ongoing efforts to use Deep Learning techniques for analyzing large datasets of GE’s customers across industry verticals. Apply advanced analytics and machine learning techniques for tagging, classification, and automated feature and object recognition in images and video streams. Work with Computer Vision Scientists and engineers to deliver robust analytics solutions.
Essential Responsibilities

The Computer Vision Research Engineer will work closely with Computer Vision Scientists and Engineers to rapidly build, test and iterate the analyses and models to create high-fidelity automated classification, detection, and prediction solutions.
Responsibilities include but are not limited to: 

• Investigate and apply image analytics and deep learning approaches and tools for detecting automated and assisted analysis of various industrial datasets including RGB, multi-spectral imaging, radiographs, thermographs, and ultrasonic and sonar scans 
• Data preparation, cleaning and large scale experimentation as needed to build solutions 
• Collaborate with cross-functional teams across multiple offices and regions

Qualifications/Requirements

• BS or MS degree from computer engineering or computer science departments with specialization, class work or demonstrated experience in Deep Learning 
• Fluent with frameworks and languages such as Tensorflow, Keras, Python, OpenCV, VXL, DLIB, scikit-learn 

Desired Characteristics

• 2-3 years of post-graduate industry experience 
• Production-level developer in Python, C/C++, or Java 
• Experience with analytics development for industrial applications in a commercial/industrial setting 
• System Engineering and API based integration experience for large production systems 
• Excellent organizational, interpersonal, communication

About Us

GE is the world's Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry.
GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is anEqual 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.
Additional Eligibility Qualifications

GE will only employ those who are legally authorized to work in the United States for this opening.
Primary Country

United States
Primary State/Province

Massachusetts
Primary City

Boston