Lumalabs Ai

Forward Deployed Engineer

Redwood City, USA

Sponsorship not specifiedDetected 65 days ago

TypeScriptPythonGoFull-Stack DevelopmentResearchCommunication

About the role

About Luma A new class of intelligence is emerging, systems that understand and generate the world across video, images, audio, and language.
It's a full-stack engineering problem, spanning training systems, inference, product architecture, and the tight feedback loops between them.
When a new technological wave begins, the highest leverage place to be is at the foundation.

High agency and strong prioritization skills - you can figure out the core problem and move.

A leading multimodal AI research lab, having built one of the world's strongest video generation models (Ray-3.14).
Pushing beyond video toward the next generation of multimodal general intelligence models.
Focused on the creative domain, where multimodal systems can have immediate real-world impact.
Shipping tightly integrated products that turn research breakthroughs into tools creators actually use.
The playbook is not written.
Identify the patterns worth productizing and feed them back to platform and R&D.
Breadth, product intuition, and customer empathy matter more here than narrow specialization.

Building multimodal AGI is not just a research problem.
Not at a startup wrapping someone else's API.
At the company building the models themselves.
The frontier is not incremental improvement.
These models are replacing entire categories of software and enabling entirely new ones.
A technical founder - you built the product, talked to the first customers, made the calls, and shipped.
You miss the pace and the autonomy more than you miss running a company.
An engineer who became the customer's engineer - the one who flew out, sat in their office, and rebuilt their workflow because the standard product didn't fit.
A consultant or architect who codes for real - you didn't just diagram the system, you wrote it.
A builder with a customer instinct - strong technical foundation, a track record of personal projects with real users, and a pattern of identifying problems and moving on them without waiting.

This listing is sourced directly from Lumalabs Ai's careers page and normalized into a canonical job model.