Computer Vision Researcher

Summary

Terminal is seeking a Computer Vision Researcher with 3 years of relevant experience to join their team. The appointee will work within the Research team on cutting-edge research projects for high-quality publications and IP generations, focusing on computer vision and deep learning technologies. Required skills include a PhD degree in Computer Vision, Machine Learning, or a closely related field, a track record of publication in high-quality academic conference papers and/or journals, detailed and highly specialized knowledge of developments at the forefront of Computer Vision, Deep Learning, Machine Learning, proficiency in Python, and strong communication and teamwork skills.

Requirements

• 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, Machine Learning
• Extensive knowledge of Machine Learning/Deep Learning frameworks and libraries
• Proficiency in Python
• Strong communication and teamwork skills

Responsibilities

• Contribute to the research, development and implementation of innovative methods and in applied artificial intelligence
• Address 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

Preferred Qualifications

• Experience in large-scale outdoor text retrieval and visual object categorization
• Experience in language models, grammar encoding, and multi-task learning
• Successful remote working experience in a technical team

Benefits

• Competitive Pay
• Private Health Insurance
• Private Dental Insurance
• Group Life Insurance, Critical illness Insurance, and Income Protection Insurance
• Pension scheme
• Meal allowance and more