Research Scientist, Color Image Processing & Computer Vision

7 Months ago • All levels • Research & Development • $110,000 PA - $140,000 PA

About the job

Job Description

Research Scientist specializing in color image processing and computer vision for AR/VR applications. Must have experience in Python, C++, image processing, and computer vision.
Must have:
  • Image Processing
  • Computer Vision
  • Python Programming
  • C++ Programming
Good to have:
  • Machine Learning
  • User Experience
  • 3D Graphics
  • Unity/Blender
Perks:
  • Health Insurance
  • Flexible Work

About the job

Our mission at DigitalFish is to help our customers derive transformative value across their organizations by building next-generation technologies that define the future of digital-media creation and consumption for millions of users.

We have partnered with leading digital media companies, and are at the center of their efforts to build a new generation of platforms and experiences. Current and past customers include Apple, Google, Meta, Disney, DreamWorks, Activision, Technicolor, ESPN, LEGO, NASA and many others.

THE ROLE

As part of a small and dynamic team, you'll play a pivotal role in developing imaging technology for camera capture while creating augmented reality experiences that enhance human perception. The scope of these projects will encompass camera color processing, developing features related to human color perception, and prototyping with tools like Unity/Blender for object rendering.

What You'll Do

  • Research and develop applied color perception algorithms for camera and AR applications
  • Research and develop computer vision and machine learning algorithms for photographic imaging processing
  • Develop evaluation tools for camera calibration, image quality and computer vision for AR/MR applications.
  • Work with cross-functional teams and provide leadership and expertise for new project development and productization.

Who You Are

  • MS/PhD degree in computer science, electrical engineering, imaging science, color science, biology, cognitive science or a related field
  • Background in image processing and computer vision
  • Proficient in programming languages such as Python and C++
  • Experience with 3D tools such as Unity, Blender and Maya*
  • Strong background in user experience, machine learning, computer vision, VR & AR
  • Strong communication skills for working with cross-functional teams
  • Understanding of light sensor, image sensor, camera and display hardware systems*
  • Experience in 3D computer graphics, lighting and shading*
  • Proof of eligibility to work in the United States

Compensation & Benefits

  • The annual salary range for this position is $110,000 to $140,000 plus equity (per qualifications)
  • The base pay actually offered will take into account internal parity, job-related knowledge, skills, and experience among other factors
  • Health Insurance - Medical, Dental, Vision and Life Insurance
  • Discounts on movie tickets, theme parks, hotels, Broadway and Vegas shows, shopping partners & more
  • Flexible working environment and more!

Additional Info

This position offers flexibility to work either hybrid in the Bay Area or remotely across the US.

DigitalFish is an equal opportunities employer ensuring that all applicants are treated equally and fairly throughout our recruitment process. We are determined to ensure that no applicant experiences discrimination on the basis of sex, race, ethnicity, religion or belief, disability, age, gender identity, ancestry, sexual orientation, veteran status, marriage and civil partnership, pregnancy and maternity, or any other basis prohibited by applicable law.

DigitalFish is not able to sponsor immigration petitions for this role at this time.

All applicants must have the right to work in the United States.

We look forward to hearing from you!
View Full Job Description
$110.0K - $140.0K/yr (Outscal est.)
$125.0K/yr avg.
California, United States

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About The Company

Explore gaming industy jobs in one of the leading Game Studios.

Sunnyvale, California, United States (On-Site)

California, United States (Hybrid)

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