Develop perceptual features for MR/AR experiences, establish image quality metrics, and research algorithms for light estimation and virtual object rendering.
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 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. Projects will include camera color processing, camera and display characterization, and studies of device performance and effectiveness.
WHAT YOU'LL DO
- Develop perceptual features for immersive MR/AR experiences by modeling human perception
- Establish camera and display image quality metrics for MR/AR benchmarking
- Create a platform for objective and subjective psychophysical studies to evaluate virtual object rendering in MR/AR applications
- Research and develop computer vision and machine learning algorithms for light estimation and virtual object rendering
WHO YOU ARE
- MS/PhD degree in Computer Science, Imaging Science, Image Processing, Computer Vision, or related fields
- Strong background in color science and imaging science
- Proficient in programming languages such as MATLAB, Python, C#, and C++
- Strong background in user experience, machine learning, computer vision, VR & AR
- Knowledgeable in data analysis and signal processing
- Strong communication skills for working with cross-functional teams
- Strong understanding of image processing, HDR imaging, image segmentation, depth estimation, human color perception, AR/VR rendering
- Proof of eligibility to work in the United States
COMPENSATION & 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)
- The base pay 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
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 may share your personal information and resume with trusted partners only as necessary to help facilitate your employment journey.
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!
DigitalFish San Mateo, California, USA Office
San Mateo, California, United States, 94401
DigitalFish Menlo Park, California, USA Office
Menlo Park, California, United States, 94025
Similar Jobs
Financial Services
Sell payment products and services within an assigned territory by prospecting, qualifying, and closing new clients and expanding existing relationships. Manage a sales pipeline, deliver tailored presentations and proposals, document activities, report on performance, and provide post-sale follow-up. Travel locally for client meetings.
Top Skills:
Chase Payment SolutionsCRM
Cloud • Security • Software • Cybersecurity • Automation
Build and maintain backend AI capabilities for GitLab Duo Chat: design flow components and agentic flows in Python/LangGraph, integrate LLMs and multi-agent orchestration, implement and maintain APIs in the Rails monolith, improve observability and reliability, and participate in on-call rotations and cross-functional collaboration to deliver safe, scalable AI chat features.
Top Skills:
Agent FrameworksGraphQLLangchainLanggraphLarge Language ModelsMulti-Agent OrchestrationPostgresPytestPythonRestRspecRuby On RailsSQLTool/Function Calling
Cloud • Security • Software • Cybersecurity • Automation
Design, build, and maintain People systems automations and integrations (Workato, Workday, Greenhouse, Slack) using production-quality code. Improve CI/CD, reliability, observability, and AI-driven automation (Claude, MCP). Serve as technical lead for People Technology, partner with stakeholders, and drive scalable, maintainable automation solutions.
Top Skills:
ClaudeDockerGitGitlabGkeGoogle Cloud Platform (Gcp)GreenhouseKubernetesLlmsModel Context Protocol (Mcp)PHPPythonRubySlack ApiSlack Bot SdkWorkatoWorkdayWorkday Web Services (Wws)
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
