AmazonSr. Applied Scientist, Sensors, Sensor Algorithms
Amazon is hiring a Sr. Applied Scientist, Sensors, Sensor Algorithms in Sunnyvale, United States. It pays $192k-$260k a year and Level rates it ; you can apply on Level.
AI in this role
Pioneer next-generation sensor algorithms and machine learning models for Amazon's ecosystem of consumer devices.
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, scale-factor, noise density and building calibration routines
- Factor-graph optimization or complementary filtering, and/or simulation frameworks for synthetic sensor data and benchmarking
- Experience shipping algorithms in high-volume products, ideally consumer electronic devices
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Sunnyvale - 192,200.00 - 260,000.00 USD annually
How we rate this
Sr. Applied Scientist, Sensors, Sensor Algorithms at Amazon rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- Tell me about a project where sensor algorithms was part of your work. What did you do?
- Tell me about a project where applied science was part of your work. What did you do?
- Tell me about a project where algorithms was part of your work. What did you do?
- Tell me about a project where consumer electronics was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Computer vision, Sensor Algorithms, Applied Science, Algorithms, and Consumer Electronics. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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