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Applied Scientist in Computer Vision and Multimodal Perception
2 months ago
Position Overview
The Edge CV division, part of the Artificial General Intelligence (AGI) group, is seeking a dedicated and innovative Applied Scientist with a robust background in deep learning. This role focuses on developing cutting-edge technology utilizing computer vision and multimodal perception models tailored for various edge computing applications.
Key Responsibilities
- Collaborate with a team of skilled professionals to create advanced algorithms and modeling techniques that push the boundaries of multimodal models, particularly in computer vision.
- Contribute to the development of products and services that leverage computer vision technology, directly benefiting our customers.
- Utilize Amazon's diverse data sources and extensive computing capabilities to expedite advancements in AGI within the perception domain.
A Day in the Life
As an Applied Scientist in the AGI group, you will engage in designing scientific solutions, conducting experiments, exploring new algorithms, and optimizing customer experiences. You will set high standards for scientific practices within the team. Your role will also involve close collaboration with talented engineers and scientists to implement algorithms and models effectively.
About the Team
The Edge CV team is committed to delivering top-tier computer vision and multimodal models to support various low-latency perception applications for devices like the Echo Show series.
Basic Qualifications
- PhD or Master's degree with a minimum of 3 years of experience in Computer Science, Computer Engineering, Machine Learning, or a related field.
- At least 1 year of experience in developing models for business applications.
- Proficiency in programming languages such as Java, C++, Python, or similar.
- Experience in developing and implementing deep learning algorithms, especially in the context of computer vision.
Preferred Qualifications
- Publications in prestigious peer-reviewed conferences or journals.
- Experience with Vision Language Models, Audio-Video fusion, and multi-modal large language models.
- Expertise in optimizing computer vision models for deployment on devices (including techniques like pruning, quantization, and distillation).
- Strong verbal and written communication skills, capable of engaging both technical and non-technical audiences.
Diversity and Inclusion
Amazon is dedicated to fostering a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status.
Compensation
Our compensation reflects the labor market across various US regions. The base salary for this role ranges from $136,000 to $222,200, depending on the geographic market. Pay is influenced by several factors, including market location and job-related knowledge, skills, and experience. Amazon offers a comprehensive compensation package that may include equity, sign-on bonuses, and a full range of medical and financial benefits.
