Applied Scientist II, AWS Applied AI Solutions

Description

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As part of the AWS Applied AI Solutions organization, we're advancing the frontier of computer vision and deep learning. Our vision is to develop sophisticated AI systems that can understand, interpret, and reason about visual information at human-like levels, enabling breakthrough applications across multiple industries.

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The Team

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Our research team is tackling fundamental challenges in computer vision and deep learning. We're investigating novel approaches to how AI systems understand spatial and temporal relationships, reason about object interactions, and maintain contextual awareness across time.

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The Role

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Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that's more startup than big company. We'll need to tackle problems that span a variety of domains: computer vision, image recognition, machine learning, real-time and distributed systems.

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Key job responsibilities

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  Develop a novel framework to solve person tracking problem in the physical world

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  Advance the theory and practice of multi-object tracking, re-identification, pose estimation, and person activity understanding

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  Create innovative techniques for efficient visual processing that can scale to real-world applications

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  Investigate approaches to reduce the computational and data requirements of visual AI systems

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A day in the life

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As an Applied Scientist, you'll conduct fundamental research in visual reasoning while maintaining a clear path to practical applications. You'll investigate novel architectural approaches, develop new theoretical frameworks, and validate ideas through rigorous experimentation. You'll collaborate with other scientists and engineers to transform research insights into scalable solutions, publish your findings in top-tier conferences, and help shape the future direction of visual AI technology.

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About the team

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AWS Applied AI Solutions

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As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. we blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.

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About AWS

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Diverse Experiences

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AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

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Why AWS?

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Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

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Inclusive Team Culture

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AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

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Mentorship & Career Growth

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We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

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Work/Life Balance

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We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.

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Basic Qualifications

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  PhD in Computer Science, Machine Learning, or related field (or MS with equivalent research experience)

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  Track record of publications at top-tier conferences (CVPR, ICCV, ECCV, NeurIPS, ICLR), specifically focusing on multi-object tracking, re-identification, human activity understanding, or multi-modal LLMs

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  Strong background in computer vision, deep learning, and multi-modal foundation models

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  Experience with PyTorch or other deep learning frameworks

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  Demonstrated ability to transform research ideas into practical implementations

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Preferred Qualifications

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  Experience with large-scale model training and optimization

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  Contributions to open-source AI projects or research frameworks

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  Experience mentoring junior researchers and collaborating with engineering teams

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  Strong track record of turning research breakthroughs into practical applications

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.