Contribute to the research, development, and implementation of innovative methods and in applied artificial intelligence.
Addressing real-world challenges derived from the company’s mission via computer vision and deep learning technologies, particularly in the topic of text and object recognition.
Prepare, submit, and publish high-quality journals and internationally-leading conferences
Support the capture of intellectual property and prepare technical material for the submission of patent and grant applications.
Educate and support (e.g. via theoretical problem-solving or research-grade implementation) the Vision Engine team in their mission to deploy computer vision methods in the company product.
Requirements & Skills:
A PhD degree in Computer Vision, Machine Learning, or a closely related field (or be on the course of getting one very soon at the time of application).
A track record of publication in high-quality academic conference papers and/or journals commensurate with career stage.
Detailed and highly specialized knowledge and understanding of developments at the forefront of Computer Vision, Deep Learning, and Machine Learning.
Extensive knowledge of Machine Learning/Deep Learning frameworks and libraries.
Proficiency in Python.
Strong communication and teamwork skills.
Experience in large-scale outdoor scene text spotting and visual object categorization.
Experience in vision-language models and multi-task learning.
Successful remote working experience in a technical team.
