Tooling engineer serp_jobs.h1.location_city

A Day in the Life

In the morning, you tweak a prototype interface used to test a new spatial-control feature for video generation hooking it into an inference service you helped build last week.

After a quick sync with the Research team, you jump into a session with Technical Art to refine the UI for LoRA training on a stylized dataset.

By afternoon, you're wiring up a ComfyUI extension to support a new model architecture. You close the day by reviewing feedback from a design partner who used your tool in a client demo.

What You'll Do

Build web-based tools and UIs that make advanced model behavior feel intuitive and usable

Design and implement pipelines for model training, fine-tuning (e.g., LoRA), and real-time inference

Collaborate with Research and Technical Art teams to prototype new workflows grounded in evolving model capabilities

Extend and integrate open-source frameworks like ComfyUI to fit internal and client-specific use cases

Contribute to both internal experimentation tooling and external-facing production features

Support productization efforts for enterprise and B2B applications involving multimodal AI

You Might Be a Fit If

5+ years of experience in software engineering, ideally across both backend and frontend systems

Strong Python and JavaScript / TypeScript skills; fluency in modern web frameworks (e.g., React, Next.js)

Familiarity with ML pipelines and GPU-based compute (e.g., PyTorch, ffmpeg, SLURM / Kubernetes)

Experience with training and deploying models (LoRA, ControlNet, diffusion models a plus)

Passion for building usable, elegant tools for technical artists, researchers, or creative professionals

Bonus : experience shipping tools that sit between R&D and production, or serve external creative clients

Bonus Points

Experience with LoRA, ControlNet, or real-time AI media generation

Tools that shipped between R&D prototypes and production-quality software

Interfaces or systems that helped non-engineers leverage AI models creatively

Why Join Our Applied Research Team?

Work on frontier multimodal models and build the tools that make them real

Collaborate with an exceptional team of engineers, researchers, and technical artists

Shape the future of how humans interact with generative AI not just inside Luma, but out in the world

Contribute at the boundary of research, product, and creativity with real user impact