Intern- Computer Vision

Key Skills

Python Programming, Deep Learning, PyTorch, TensorFlow, Algorithms

Job Description

Artificial Intelligence is transforming the world in almost every industry. Everyone knows only good training data can produce the best machine learning solutions. However, creating training data with high quality in a scalable way is very challenging, and very few companies can do it. The whole AI world is starving for great training data. Appen is the market lead in training data generation field for more than 22 years and generates all kinds of training data like content relevance, image & video, text, and audio, as well as data capturing.

Appen Tech team is solving the AI data problem by combining the power of humans and technology. This world-class and exciting engineering position awaits a qualified candidate, who will join Appen’s data science team.

We are seeking an intern with hands-on expertise in computer vision, software development, and machine learning to build AI solutions to improve millions of annotators' efficiency at scale. You get the opportunity to work with our global tech team from Shanghai, Silicon Valley, and Sydney. It is a leading data company with a start-up culture. And we only want people who want to make a huge impact on the AI world instead of just a job! 

Responsibilities:

• Develop computer vision algorithms for automating manual annotation tasks, which include image/video/Lidar object detection, segmentation, and tracking, and many more use cases. 
• Work with the teams to build human-in-the-loop AI/ML solutions in the computer vision domain to improve annotation efficiency and quality. 

Skills and Experience:

• Current Ph.D. or Master student in Computer Science, Statistics, Mathematics, or equivalent. 
• Hands-on experience with software development, and data processing pipelines, 
• Familiar with Python, or other programming languages. Experience in PyTorch or Tensorflow.
• Solid understanding of various deep learning and machine learning algorithms
• Good communications skills, both verbal and written in English 
• Remote sensing experience preferred
• Multiple object tracking experience preferred