Principal Software Engineer Los Angeles​/Bay Area Los Angeles

Tube Science 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. Tube Science is Meta's largest creative partner and App Lovin'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 Tube Science 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.

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.

• You have held Staff or Principal scope. You have set technical direction across multiple systems or teams, and you can name the calls that were yours and what came of them.
• You bring depth in the domain of the area you apply for. For digital production, video editing, media processing or generative media pipelines. For media effectiveness, advertising, media or performance‑data systems.
• You have built a platform from zero, made the foundational calls, and lived with them. We will ask about the ones you regret, and "none" is the wrong answer.
• You have put AI into production beyond chat. Vendor APIs, agents or tool calling, evaluation, permissions and cost control,…