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Professional-grade photo and video editing powered by AI.
The Role
The Computer Vision Engineer will develop algorithms for visual data processing, optimize large-scale training, and collaborate with teams to enhance image and video technologies.
Summary Generated by Built In
54,000 new photos are taken every second, and 600 hours of video are uploaded every minute. At Topaz Labs, we help over 1 million paying customers (including teams at Google, Nvidia, and NASA) maximize the visual quality of over 1 billion of these photos and videos.
About us
Topaz Labs is a full-stack AI company that develops, trains, and deploys generative AI models for image and video enhancement. We’re the best in the world at improving image and video quality, and produce several award-winning desktop products that millions of people rely on.
Image and video creation has exploded in the past few years and we’ve grown with it, but we still only process a tiny fraction of the world’s content. We’re building an elite team dedicated to bringing our technology to every image and video that needs it. We execute quickly, obsess about the customer experience, and promote from within. We’re also profitable with an infinite runway.
About the role
As a Computer Vision Engineer, you will play a pivotal role in advancing engineering development within our AI research organization. Your responsibilities will encompass algorithmic visual data processing, data pipelines, training infrastructure, and large-scale training optimization, among other tasks.
As the first engineering hire for our lab, this position offers an unparalleled growth opportunity and the chance to drive research scalability from an engineering perspective.In this unique role, you’ll collaborate closely with our deep learning research and engineering teams to build state-of-the-art models for image and video enhancement. We rapidly prototype, build, and deploy new products, and your contributions will help us develop superior AI tools and products for our millions of users.
About you
- At least 3+ years of professional working experience in a related field
- Hands-on experience with performance optimization, e.g. with multithreading
- Hands-on experience with computer vision models
- Experience with MLops best practices
- Experience with datasets
- Expert knowledge of Python, C/C++
Preferred
- Experience with perceptron models in computer vision
- Experience with backend development
- Experience with OpenCV, ffmpeg, other media-specific libraries and frameworks Exposure to model optimization for local processing Interest in photography or videography
Do you meet most but not 100% of the above? We’d still like to hear from you–we are passionate about developing a diverse team and culture, so please apply if you’re interested!
This is a unique role for someone interested in making a deep impact at a high-growth tech software company. We offer strong base salary, plus significant ownership that scales with the company's growth. We also offer 100% covered medical/dental/vision for employees, 15 days annual PTO, 5 personal days plus holidays, and 401k matching. This is a full-time onsite role in Dallas, TX, and we will ask you to relocate if you're not in the area
Top Skills
C/C++
Ffmpeg
Opencv
Python
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The Company
What We Do
We build software to solve imaging problems like denoising, super-resolution, and deconvolution with deep learning. Over 1M photographers and videographers trust us with their work, including on teams at Apple, Netflix, NASA, and more. We've processed over 1 billion images, achieved 1500% revenue growth in the last 6 years, and we're only getting started.
Find our open jobs here: https://www.topazlabs.com/careers
Why Work With Us
Help us make the latest innovation in AI accessible for creatives everywhere: https://topazlabs.com/careers/
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