# Sr. Applied Scientist, Sensors, Sensor Algorithms at Amazon

Amazon is hiring a Sr. Applied Scientist, Sensors, Sensor Algorithms in Sunnyvale, United States. It pays $192k-$260k a year and Level rates it Builds AI ●●●●; you can [apply on Level](https://jobsbylevel.com/go/5d32c600-284a-419e-8b95-1ad14f8eaa9d).

AI Level 4, AI centrality 86 out of 100. US, CA, Sunnyvale.

## Details

- Company: [Amazon](https://jobsbylevel.com/companies/amazon)
- AI level: AI Level 4 (score 86 out of 100)
- Location: US, CA, Sunnyvale
- Salary: $192k-$260k
- Posted: October 7, 2026
- Apply: https://jobsbylevel.com/go/5d32c600-284a-419e-8b95-1ad14f8eaa9d

## Description

Amazon Devices Sensor Algorithms team is 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. The ideal candidate combines strong theoretical foundations in machine learning and signal processing with practical implementation skills. You'll develop state-of-the-art sensor algorithms from concept to production, translate complex research problems into practical consumer technologies, and create solutions optimized for diverse hardware platforms. We are looking for someone who thrives in fast-paced environments, solves complex problems efficiently, and iterates quickly based on real-world feedback. Your technical decisions will directly shape future product capabilities and deliver exceptional experiences to Amazon customers worldwide. 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 developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms - Demonstrated expertise in Kalman filtering (EKF/UKF) or other Bayesian estimation for fusing multiple sensor modalities (IMU, camera, UWB, magnetometer, etc.) - Strong foundation in rigid-body dynamics, coordinate-frame transformations, and quaternion attitude representation, applied to INS / dead-reckoning / strapdown integration for position and pose - Demonstrated expertise successfully shipping ML and signal processing algorithms on Edge/Embedded devices Preferred qualifications - 5+ years of building machine learning models or developing algorithms for business application experience - 5+ years of applied research experience - VIO / SLAM - visual-inertial odometry or SLAM fusing camera pose with inertial for drift correction - MEMS IMU error modeling & calibration - characterizing bias instability,

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/sr-applied-scientist-sensors-sensor-algorithms-at-amazon-f9a47e

Source: https://jobsbylevel.com/jobs/sr-applied-scientist-sensors-sensor-algorithms-at-amazon-f9a47e

## Cite this page

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