DigitalFish
Research Scientist, Color Perception & Imaging Technology
Bay Area, CA
Sponsorship not specified$110k-$150kDetected 534 days ago
AR/VRResearch
About the role
- As part of a small and dynamic team, you'll advance imaging technology for camera capture and display systems used in wearable MR/AR devices, enabling and enhancing the augmented reality experiences possible on the device.
Responsibilities
- Discounts on movie tickets, theme parks, hotels, Broadway and Vegas shows, shopping partners & more
- DigitalFish may share your personal information and resume with trusted partners only as necessary to help facilitate your employment journey.
Requirements
- All applicants must have the right to work in the United States.
Skills
- Projects will include camera color processing, camera and display characterization, and studies of device performance and effectiveness.
Compensation
- The annual compensation includes equity (per qualifications)
- The annual salary range for this position is $110,000 to $150,000 plus equity (per qualifications)
- The base pay offered will take into account internal parity, job-related knowledge, skills, and experience among other factors
- Discounts on movie tickets, theme parks, hotels, Broadway and Vegas shows, shopping partners & more
- ADDITIONAL INFO DigitalFish is an equal opportunities employer ensuring that all applicants are treated equally and fairly throughout our recruitment process.
- DigitalFish may share your personal information and resume with trusted partners only as necessary to help facilitate your employment journey.
Benefits
- The annual compensation includes equity (per qualifications)
- The annual salary range for this position is $110,000 to $150,000 plus equity (per qualifications)
- Health Insurance
- Medical, Dental, Vision and Life Insurance
- Flexible working environment and more!
Visa & Work Authorization
- DigitalFish is not able to sponsor immigration petitions for this role at this time
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This listing is sourced directly from DigitalFish's careers page and normalized into a canonical job model.