FAQs
What educational qualifications are required for this position?
A PhD, or a Master's degree along with relevant experience in computer science, computer engineering, machine learning, or a related field is required.
What programming languages should candidates be proficient in?
Candidates should have experience programming in Java, C++, Python or a related language.
Is experience in deep learning algorithms necessary for this role?
Yes, experience in developing and implementing deep learning algorithms, particularly in the context of computer vision, is essential.
Are there any expectations regarding publications or patents?
Yes, candidates should have experience in patents or publications at top-tier peer-reviewed conferences or journals.
What types of datasets will I be working with?
You will work on large-scale datasets to create scalable, robust, and accurate computer vision systems for various applications.
Will I be collaborating with others in this role?
Yes, you will closely collaborate with other scientists and engineers, as well as teams across the world.
What kind of projects will I be involved in?
You will drive prototypes, projects, and solutions in the fields of computer vision, machine learning, and image optimization.
What does a typical day look like for an Applied Scientist in this role?
Your day will include experimentation, coding, discussions with peers and stakeholders, training and evaluating models, and working on prototypes and production code.
Does this position require experience with Unix/Linux?
Yes, experience using Unix/Linux is preferred for this role.
Will I have opportunities for professional development and mentorship?
Yes, you will have access to Amazon's extensive offerings for mentoring and training to support your continued learning and growth.