Careers

Topaz Careers

Build the zero click future

We’re using AI to build a world where photos and videos are enhanced,
sharpened, and production-ready before anyone even sees them.

Join the team

1M+

Users

1,042%

4-Year Growth

23+

Team Members

Upscale your career

We’re a small team that loves what we do and values craftsmanship and quality over all else. Imagine being able to hone your craft, be it software engineering, design, deep learning research, or anything else, without any bureaucracy whatsoever. How great can you become? What problems could you solve for your peers and our customers? Could you produce a masterpiece?

If so, you’re in the right place–and in good company. Our team includes startup founders, Ph.D researchers, mathematicians, athletes, and musicians. Lots of photographers, too. We push the boundaries of what’s possible, not just for our technology, but for ourselves. We ship fast, learn from our mistakes, and don’t take ourselves too seriously (just ask Ryan Gosling). We’ve grown revenue by 1,200% since 2018, but we’re just now hitting our stride. Where we go from here is up to you!

sparkles

Culture

What makes Topaz Labs a rare place to work?

Saying my job at Topaz Labs is fantastic is an understatement. The independence and trust Topaz Labs gives me allows me to do my job productively and achieve any goal I put my mind to.

- Yazi Saradest

- qa manager

Topaz Labs gave me a real sense of ownership with the apps we develop. Developers have freedom in how to tackle problems, what to add, how to add it, etc. Also the people here are great.

- Adam mains

- Engineering Tech Lead

Working at Topaz Labs introduced me to a talented and driven team of engineers, artists, and business leaders. Each day is an educational journey, and my capabilities have expanded far beyond the skillset I joined the company with.

- Anthony Martinez CUervo

- Product Manager, Video AI

We’re a small team of builders obsessed with crafting a magical product by solving difficult problems for real people. It won’t be easy or relaxing here, but you’ll be amazed by how much impact you can have and how much you can learn.

- Eric yang

- ceo

Speed

Deep learning inference is usually far slower than comparable processing methods, but users love fast.

Development

The experimental nature of deep learning defies the traditional software development lifecycle.

There’s inherent tension between cutting-edge AI vs. user experience.

AI is transformative but also difficult and finicky to work with – especially on consumer desktop computers. It’s one thing to reproduce a few impressive results from a paper somewhere. It’s much more difficult to build production-ready software loved by creatives all over the world.

Consistency

The “black box” nature of deep learning models means we often can’t predict or explain certain unexpected results.

Configuration

Customers have hundreds of hardware combinations which significantly impacts how well our products perform on their computers.

We're just getting started.

Our product and user focus has helped us double our impact every year, but we’re still far from where we can be. Accelerating growth means exciting projects and unbounded opportunities for the folks who work here. You’ll be able to make a fundamental impact on our products and culture while quickly growing your own skillset.

*Chart shows actual trailing revenue until December 2022.