Sr. Applied Scientist, Sensors, Sensor Algorithms

About the role

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.

Key job 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.

About the team

At Amazon Lab126, we're a pioneering research and development hub dedicated to designing and engineering revolutionary consumer electronics. Established in 2004 as a subsidiary of Amazon.com, Inc., we've been at the forefront of innovation, starting with the creation of the best-selling Kindle family of products. Our portfolio has since expanded to include transformative devices such as Fire tablets, Fire TV, and Amazon Echo. Our Lab126 team is dedicated to developing advanced sensing technologies and algorithms, collaborating with program managers to design and implement transformative user features and experiences.

Basic Qualifications

• 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 Qualifications

• 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