Staff / Principal Software Engineer

TubeScience Labs: Los Angeles, on-site — $120.000 - $200.000

TubeScience Labs’ mission is to create trusted, scalable, and self-improving AI systems that power the largest performance-based paid social creative video company in the world. TubeScience is Meta's largest creative partner and AppLovin's #1 creative partner, producing 8,000+ original ads every month from a 100,000 sq. ft. Los Angeles studio, backed by a library of 1.6 million+ performance ads and $3B in annual managed ad spend. That is what gives TubeScience one of the richest first-party creative-performance datasets anywhere.

Labs turns that data — and the playbook behind billions in spend — into frontier AI tools that actually ship. We are an end-to-end native agentic AI lab from research, design, coding, experimentation to delivery. Our pipelines run against real creative, real deadlines, and real budgets every day. 

You'll join a small, AI-empowered, senior team of engineers and product managers, with direct access to expert users and you will own the whole architecture direction for your area. You’ll be expected to work across all frontier and open-weight models for every phase of your job from discovery to prototyping, to specs and building, and to evals and deployment.

The role

You'll own the architecture direction for your area: what gets built, in what order, and why, as well as the release cadence and, just as importantly, what doesn't get built. We don't expect you to write code by hand; you'll direct a fleet of agents. But you remain accountable for every line that ships.

Small senior team. No layers between you and the problem. A direct line from your commits to the people using them, who will tell you immediately if it is wrong.

We weigh directly relevant experience heavily. These roles come with real budgets, real footage and real operators from day one, and there is little time to learn the domain from scratch. 

We are hiring engineers for two product areas. Each one sets the technical direction for their area, ships code every week, and decides what does not get built, which is the harder half.

• Digital production: The full-stack system that turns prototypes into finished videos, shifting the work from human editing toward AI-assembled variants. You understand editing and generative workflows well enough to know where automation holds up and where it does not. It works with both state-of-the-art AI tools and traditional editing software such as Adobe Photoshop and Premiere Pro.
• Media: The systems behind everything after an ad is made and approved: deploying creative to ad platforms, efficiently allocating spend, running experiments, and  measuring and reporting performance against client goals. These are several projects that function as one system, with architecture and standards built to last. You bring hands-on depth in at least one area of advertising systems (media buying, ad-platform automation, spend allocation, bidding and auctions, measurement and attribution, ad experimentation, or ad ranking and recommendation) and can extend it to the rest.