About this opportunity
Amazon.com Services LLC lists this Sr. Applied Scientist, Sensors, Sensor Algorithms opportunity in sunnyvale, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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.
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're 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 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
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 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 .
USA, CA, Sunnyvale - 192,200.00 - 260,000.00 USD annually
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.