About the job
We're seeking a Senior Applied Scientist to pioneer sensor-based algorithms that power next-generation experiences across Amazon's device ecosystem, including Echo, Kindle, Fire TV, and Fire Tablets. Working with multidisciplinary teams of scientists and engineers, you'll develop innovative technologies at the intersection of signal processing and machine learning that transform how millions of customers interact with our products.
Responsibilities
Develop and implement advanced algorithms and machine learning models to enhance Amazon's products and services.
Collaborate with cross-functional teams, including software engineers, scientists, and product managers to translate business needs into technical solutions.
Conduct thorough data analysis to identify trends, patterns, and insights that drive product innovation and improvement.
Optimize algorithms for performance, scalability, and efficiency across various Amazon platforms.
Present findings and recommendations to stakeholders, influencing product strategy and decision-making.
Stay abreast of the latest research and technological advancements in machine learning and related fields to continuously improve Amazon's offerings.
Mentor and guide junior scientists and engineers, fostering a culture of learning and innovation.
Ensure the ethical use of data and algorithms, adhering to Amazon's guidelines and best practices.
Contribute to the publication of research findings in conferences and journals, elevating Amazon's reputation in the scientific community.
Qualifications
Minimum
3+ years of building machine learning models for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning
Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
Experience creating novel algorithms and advancing the state of the art
Preferred
5+ years of building machine learning models or developing algorithms for business application experience
5+ years of applied research experience
Experience with popular deep learning frameworks such as MxNet and Tensor Flow.
Experience with conducting research in a corporate setting