Image Scientist

Kodak Alaris

Kodak Alaris is a global technology company that’s delivering future value through customer solutions. Our advanced, patented intellectual property combines breakthrough technologies, digital transformation, and human know-how to unlock the power of images and information. We make businesses run faster, governments run smarter and provide consumers innovative solutions to preserve and enjoy their most cherished memories. Our future is powered by our employees’ creativity.

Expect a lot from Kodak Alaris and know that we expect a lot of ourselves and the performance of the company.

Kodak Moments is a leading global provider of photo products and services to retailers, consumers, and entertainment properties. We inspire consumers to bring their memories to life—delivering innovative, high-quality photo products and experiences they find truly meaningful. Powered by over 100,000 consumer touchpoints across 30 countries globally, it’s our mission to be the brand consumers choose to celebrate and preserve life's memories, from the big events to the everyday moments that matter.

Kodak Alaris is looking for a self‑motivated image scientist to support the Kodak Moments worldwide photo printing business. This position is part of the R&D and manufacturing teams that develop and commercialize new products and implement changes to existing products. It interacts with all parts of the business including printer hardware, software, media, and worldwide marketing teams. This position serves as a worldwide resource on output image quality across thermal, inkjet, and electrophotographic (EP) technologies and a broad range of photo gifting products.

• Evaluation, prototyping, and integration of imaging devices from digital capture to hardcopy or digital output.
• Develop ICC profiles and printer settings required to achieve desired output appearance and color management objectives for printer and media products.
• Develop a sufficient understanding of Kodak Moments imaging algorithms and workflows to develop optimum profiles.
• Work collaboratively with software & QA engineers, other image scientists, and product owners on product delivery.
• Investigate, compare, and contrast imaging solutions and provide recommendations to the business team.
• Assist in the definition, development, or purchase of imaging technology to meet product goals.
• Work with R&D teams to develop project objectives, test protocols and verification requirements for new products and improvements to existing products.
• Participate in the troubleshooting and root cause analysis for image quality related customer complaints and development of corrective actions.
• Understand regional preferences to develop optimum output results across all worldwide accounts.
• Machine learning models and other image processing algorithms.
• Evaluate image and video capture technologies for performance and suitability.

• Knowledge of color reproduction theory and human visual perception.
• Ability to interpret color measurement data, metrics, and encoding (CIE Lab, RGB, CMYK etc.)
• Solid understanding of colorimetry, CIE color spaces, spectral data, and ICC profiling.
• Possess critical image viewing & analysis skills to differentiate, critique, and optimize color position.
• Possess excellent written and verbal communication skills.
• Ability to translate technical results into product planning and delivery.
• Results oriented and driven by data to inform decisions and optimize outcomes.
• Strong data analysis skills with ability to present complex data in a concise effective manner.
• Quick learner and highly self‑motivated.

• Broad understanding of the imaging chain, including photography, image capture, digital cameras, digital imaging technologies, and video imaging.
• Proficiency in developing ICC profiles for output media.
• Understanding of image file format (including Metadata).
• Product development, and/or manufacturing experience.
• Project management or product commercialization experience.
• Programming skills, especially with respect to solving scientific and engineering problems.
• Competency with statistical analysis methods…