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Experience Level
Mid to Senior
Qualifications
4+ years of experience in computer vision or audio processing.Proficient in Python with hands-on experience using PyTorch or similar machine learning frameworks.Strong communication skills for effective collaboration with both internal and external stakeholders.Passionate about overseeing products from conception to completion.Adept at breaking down problems from customer impact to technical components.Willingness to work on-site at our San Francisco headquarters.
About the job
Join fuku as an Applied Research Engineer in San Francisco, CA, where you will be at the forefront of AI video data research. As a crucial member of our team, your mission will involve building robust, high-performance frameworks and extensive pipelines to process and decode video data with exceptional accuracy. You will tackle complex research challenges, refine machine learning models and APIs, and deliver comprehensive solutions across computer vision, audio, and text processing domains. This role is designed for engineers who thrive in both research and production environments and are eager to spearhead the evolution of video understanding from research to deployment.
About fuku
fuku is the pioneering AI research laboratory dedicated exclusively to video data. Our innovative approach integrates exabyte-scale video infrastructure and state-of-the-art video understanding techniques with diverse data sources to create high-quality datasets that propel video modeling forward. Given that video comprises 80% of internet traffic, our work is vital across various domains, including creativity, communication, gaming, AR/VR, and robotics. With a compact team of 12 talented individuals and backing from esteemed investors such as Matrix Partners, Swift Ventures, Y Combinator, and AI Grant, we are positioned for significant growth and impactful partnerships with leading AI labs.
Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.
Unlock Your Potential
Generate Job-Optimized Resume
One Click And Our AI Optimizes Your Resume to Match The Job Description.
Is Your Resume Optimized For This Role?
Find Out If You're Highlighting The Right Skills And Fix What's Missing
Experience Level
Mid to Senior
Qualifications
4+ years of experience in computer vision or audio processing.Proficient in Python with hands-on experience using PyTorch or similar machine learning frameworks.Strong communication skills for effective collaboration with both internal and external stakeholders.Passionate about overseeing products from conception to completion.Adept at breaking down problems from customer impact to technical components.Willingness to work on-site at our San Francisco headquarters.
About the job
Join fuku as an Applied Research Engineer in San Francisco, CA, where you will be at the forefront of AI video data research. As a crucial member of our team, your mission will involve building robust, high-performance frameworks and extensive pipelines to process and decode video data with exceptional accuracy. You will tackle complex research challenges, refine machine learning models and APIs, and deliver comprehensive solutions across computer vision, audio, and text processing domains. This role is designed for engineers who thrive in both research and production environments and are eager to spearhead the evolution of video understanding from research to deployment.
About fuku
fuku is the pioneering AI research laboratory dedicated exclusively to video data. Our innovative approach integrates exabyte-scale video infrastructure and state-of-the-art video understanding techniques with diverse data sources to create high-quality datasets that propel video modeling forward. Given that video comprises 80% of internet traffic, our work is vital across various domains, including creativity, communication, gaming, AR/VR, and robotics. With a compact team of 12 talented individuals and backing from esteemed investors such as Matrix Partners, Swift Ventures, Y Combinator, and AI Grant, we are positioned for significant growth and impactful partnerships with leading AI labs.