Applied Scientist II , AGI IMAX Science
Posted 14 days ago · 0 applicants
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The role in plain words
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 3+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience leading, mentoring and growing teams of scientists (teams of five or more scientists)
Extracted from the job description · kept up to date automatically
Who this suits
Full job description
Original listing · kept for referenceDescription
Are you an inventive, curious, and driven Applied Scientist with a strong background in AI, Computer Vision, and Deep Learning? Join Amazon's AGI IMAX Science team and contribute to significant advancements in Computer Vision, Multimodal Understanding, Generative AI, and foundational models.
As part of the AGI IMAX Science team, you'll lead innovative research projects and train large-scale Vision-Language Models (VLMs), diffusion models, and multimodal foundation models that directly impact millions of Amazon and AWS customers. Leveraging Amazon's vast computing power, you'll work alongside a supportive and diverse group of skilled scientists and engineers, building models and services that make a meaningful difference in the industry.
Key job responsibilities
Lead research initiatives in Computer Vision and Multimodal generative AI, advancing model efficiency, accuracy, and scalability.
Train and fine-tune large-scale Vision-Language Models (VLMs), diffusion models, and multimodal foundation models at scale.
Design, implement, and evaluate deep learning models in a production environment.
Collaborate with cross-functional teams to transfer research outcomes into scalable AWS services.
Publish in top-tier conferences and journals, keeping Amazon at the forefront of innovation.
Mentor and guide other scientists and engineers, fostering a culture of scientific curiosity and excellence.
Basic Qualifications
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• 3+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred Qualifications
• Experience leading, mentoring and growing teams of scientists (teams of five or more scientists)
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience, 3+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience, Experience in patents or publications at top-tier peer-reviewed conferences or journals, Experience programming in Java, C++, Python or related language, Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing