Key job responsibilities
•Lead the development of algorithms for image enhancement and color/contrast optimization.
•Conduct image quality assessment and implement perceptual image processing techniques.
•Utilize rendering techniques to improve visual fidelity and color accuracy for various display standards.
•Collaborate closely with cross-disciplinary teams to define, execute, and test product features.
•Perform hands-on testing and troubleshooting of display assembly and associated control electronics.
•Utilize expertise in color vision science to inform image processing decisions and optimizations; conduct psycho visual studies to validate perceptual effects.
About the team
Our team is dedicated to designing and integrating display modules for Kindle and Echo devices. We work collaboratively to meet end product requirements, investigating various display modules, integrating sub-components from vendors, and testing performance across optical, electrical, mechanical, and process capabilities. With a startup mentality, we explore new technologies to enhance our products, building demos and architecture documents for Proof-Of-Concept evaluations. If you're excited about hardware product development, new technology investigation, and sustaining shipping devices, come join us in shaping the future of consumer electronics.
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
- 5+ years of experience in the display industry.
- Deep understanding of display metrology, photometry, and color science.
- Strong background in image processing algorithms and techniques including the ability to develop and implement algorithms for image enhancement.
- Ability to prototype algorithms with MATLAB, Python, C#, C++.
PREFERRED QUALIFICATIONS
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- Experience with image processing libraries and frameworks such as OpenCV, scikit-image, or MATLAB Image Processing Toolbox.
- Experience in display system bring-up, debug, fault detection, root cause analysis, and failure analysis.
- Proven subject matter expertise in EPD/OLED/LCD panel design, front-of-screen quality definition, display materials and processing.
- Prior knowledge in feature extraction, segmentation, registration, and object recognition, machine learning, and generative AI techniques.
- Good problem solver, strong communication skills, and ability to work across groups.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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 compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.