Computer Vision Deep Learning Researcher
Are you a Computer Vision and Deep Learning expert with a passion for tackling hard problems and publishing their innovative solutions at top quality conferences? Are you a visionary that loves to come up with bright new ideas, prove their business worth, and lead them all the way to successful results? Can you deliver robust, high-quality code? If this describes you, then the Multimedia Analytics (MMA) department at IBM Haifa Research Labs is the right place for you.
The department specializes in computer vision, deep learning, video analytics and 3D vision to develop research assets and mature them into cutting edge AI technology. As an MMA Researcher you will analyze technological, business and functional requirements and translate them into quick prototypes, minimal viable products and research publications.
Research, design, implement and evaluate novel computer vision and deep learning algorithms
Collaborate closely with team members to drive solutions and services from prototype to delivery
Collaborate with research groups spread all over the world expanding IBM's global research assets
Work closely with software engineering teams to drive scalable, real-time implementations
Author and present outstanding research publications in top academic venues
Position location: Tel Aviv or Haifa site.
Required Technical and Professional Expertise
MSc or PhD in the field of Computer Vision, Machine learning or related domains
knowledge of and experience in state-of-the-art computer vision and machine learning and deep learning technologies
sound experience in MATLAB or Python
experience in understanding and implementing computer vision algorithms using open-source and self-developed code
Preferred Tech and Prof Experience
Publications at top quality peer-reviewed conferences or journals (e.g. ICCV, ECCV, CVPR, NIPS, ICML)
Proven track record of innovation in creating novel algorithms and advancing the state of the art
Experience working with large datasets and major Deep Learning platforms (e.g. TensorFlow, Keras, PyTorch)
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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