FAQs
What qualifications are needed for the Applied Scientist II position?
Candidates should have a PhD or a Master's degree along with experience in computer science, computer engineering, machine learning, or a related field.
Is experience with deep learning necessary for this role?
Yes, experience working with deep learning models for classification tasks is essential for the Applied Scientist II position.
Are there specific programming languages required for this job?
Yes, experience programming in languages such as Java, C++, Python, or other related languages is required.
What type of datasets will I be working with?
You will primarily work with very large real-world vision datasets, as well as a diverse set of multi-modal datasets that include natural language and structured data.
What kind of research problems will I be tackling in this role?
You will face a high level of research ambiguity and will need to solve complex problems that require creative and innovative solutions.
Where is the Berlin location situated?
The Berlin location is part of Amazon Fulfillment Technologies and is one of the offices hiring for this role.
Is experience with multi-modal input important?
Yes, experience in developing deep learning models with multi-modal input, specifically vision-language models, is highly valued for this position.
Are publications or patents considered an asset for applicants?
Yes, experience in patents or publications at top-tier peer-reviewed conferences or journals is considered an asset.
Does the team focus on any specific sectors?
The team focuses on developing AI solutions that empower Amazon’s fulfillment network, enhancing processes like product identification and damage detection.
What is the company’s stance on diversity in hiring?
Amazon is an equal opportunities employer and believes that employing a diverse workforce is central to its success, valuing candidates based on their experience and skills.