Staff Color Scientist
Staff Color Scientist
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Salary Not Disclosed
1 Vacancy
Job Description
A new paradigm of computing
Magic Leap is a pioneer in spatial computing developing groundbreaking augmented reality technology that seamlessly blends digital content with the real world. As the creator of the next computing platform our mixed reality devices unlock new possibilities for how people interact with and experience their surroundings.
Magic Leap could be your place if you want to be part of a united team where everyone is empowered and trusted to make an impact. At Magic Leap you can explore innovative solutions and use your talents to solve realworld problems. Working alongside industry experts you can grow your skills and amplify human potential at the intersection of the physical and digital worlds. We know that successful change and progress accelerate diverse perspectives. As we shape our future everyones voice matters. Together we can reimagine the world of work and with our bold partners make the impossible possible.
The opportunity
As a Staff Color Scientist within our Optical Engineering group you will work closely with crossfunctional teams to optimize existing color image processing algorithms enhance calibration techniques and develop new models of human color perception. The ideal candidate will apply their deep knowledge of color science and engineering to advise the team on mitigating issues of color uniformity and binocular color vision making a direct impact on the development of cuttingedge augmented reality products.
What youll do
- Research develop and facilitate integration of color calibration algorithms (including white balance correction color mixing etc.
- Support and optimize existing colorimetry methods and color calibration algorithms
- Characterize model and analyze performance of displays and imaging systems on color metrics
- Develop and apply models of human color vision and verify models with empirical data
- Plan and conduct psychophysical studies with human observers
- Collaborate with internal/external stakeholders to bridge communication gaps clarify requirements identify risks and support transparent exchange of data
The experience you bring
- 8 years of professional experience in color science in a technological or academic environment
- MS degree or higher in Color Science Optical Engineering Human Vision Science or related fields
- Working knowledge of optics (including camera systems projector systems etc.
- Scientific background on human color vision (including models of color adaptation chromatic contrast sensitivity etc.
- Experience working with crossfunctional teams and providing leadership and expertise for new projects
- Fluent in Matlab and/or Python and digital image processing
- Excellent communication presentation organization and documentation skills
Its exciting if you also have
- Handson experience with testing automation
- Experience with human subjects experiments
- Knowledge of C#/C
Additional Information
All your information will be kept confidential according to Equal Employment Opportunities guidelines
Accommodations
If you need an accommodation during the application interviewing or hiring process you may request an accommodation by emailing . Magic Leap will reasonably accommodate qualified individuals with disabilities to the extent required by applicable law.
Please note that we do not accept any application documents via (e)mail. Furthermore we do not accept applications from recruitment agencies for this role.
All legitimate Magic Leap email communications will end with @magicleap. Please carefully review all emails you receive to ensure you only engage with legitimate representatives of Magic Leap. For the protection of your Personal Information do not click any links open any attachments or further engage with any suspicious communications. In the event you receive an unexpected or suspicious communication claiming to come from Magic Leap please reach out directly to for assistance.
#LICP
#LIHYBRID
Required Experience:
Staff IC
Employment Type
Full-Time
