---
title: 'Don''t See Your Role? (General Application) at Luma'
canonical: 'https://feeny.ai/job/don-t-see-your-role-general-application-luma-sf-bay-area-tz099agvpqkh'
type: 'job'
last_seen: '2026-09-11'
---

# Don't See Your Role? (General Application) at Luma

- **Company:** Luma
- **Location:** Sf Bay Area, CA
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2025-07-18
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.gem.com/lumalabs-ai/b8da3485-8f2e-41db-92b2-7d4ac80d19ad

## Job description

Palo Alto, CA (Hybrid) / London, UK (Hybrid) / Remote (Select Roles)

## About Luma AI

Luma is building multimodal AI to expand human imagination. We are a "full stack" intelligence lab - we train our own foundation models (like Ray 3), build our own products (like Dream Machine), and manage our own nation-state level infrastructure (Project Halo). We are in the "Goldilocks Zone": the agility of a ~100-person startup combined with the massive compute resources of a major lab.

Where You Come In We move faster than our job board. Often, the most critical roles - the ones inventing new UI primitives, solving 2GW compute scheduling, or defining the next GTM motion - are filled before we even write a job description. This is the Builder's Bench. By dropping your info here, you aren't just joining a mailing list; you are giving us the signal to fast-track you when the right zero-to-one opportunity opens.

Why Apply Here?

- Skip the Queue: We mine this pool before posting new roles publicly.
- Signal, Not Noise: Get updates on what we’re actually building - beta invites to new models, R&D demos, and technical deep dives - not corporate newsletters.
- Direct Line: Skip the standard resume screen. If your profile shows "high slope," you jump straight to technical chats.

## Who We Are Scouting For

We are always looking for "high agency" talent across our four core pillars: Research & ML Infrastructure

- The Mission: Training "World Models" on petascale multimodal data.
- Roles: Foundation Models, Post-Training (RLHF/DPO), Data Infrastructure, HPC/Supercomputing, Systems Research. Product Engineering
- The Mission: Changing careers from building SaaS to building "Intelligence Products".
- Roles: Full-Stack (Web/Editor), Mobile (iOS), Platform APIs, Quality & Test Automation.
- Litmus Test: We look for engineers who are already using AI agents to accelerate their own coding. Go-To-Market
- The Mission: Selling a transformation, not just a tool, to a Trillion Dollar TAM (Studios, Enterprise, Creative).
- Roles: Growth Marketing, Enterprise Sales, Community, Technical Support. Operations & Strategy
- The Mission: "Single-person departments" managing insane budgets and running the show.
- Roles: Finance, Legal, Recruiting, People Ops.

You Might Be a Fit If...

- You are "High Slope": We care more about your trajectory and rate of learning than years of experience.
- You Ship: You build scrappy 0→1 products or research prototypes and put them in front of users.
- You Obsess Over Quality: Whether it's "buttery-smooth" UI or model fidelity, you care about the details.
- You Show Your Work: Demos > Buzzwords. We want to see your GitHub, your papers, your side projects, or your portfolio.

How to Stand Out

- Drop the Generic Cover Letter: Tell us specifically which team excites you and why.
- Attach Evidence: Links to GitHub, portfolios, or Google Scholar profiles are worth 10x a resume.
- Be Direct: If you have a specific thesis on video generation or multimodal AI, let us know.

Ready to build the future? Hit "Apply" and let's see what you've got.

## About Luma

## Company Overview
- **One-liner**: Luma builds multimodal AI models that can generate, understand, and operate in the physical world, shipping them in products like Dream Machine for creators and teams.
- **Entity Type**: Private (Series C)
- **Headquarters**: Redwood City, California, USA
- **Founded**: 2021
- **Founders**: Not publicly listed on official sources

## Core Business
- **Primary industry**: Artificial Intelligence / Generative AI / Creative AI
- **Target customers**: B2B (enterprises, agencies, developers) and B2C (creators, filmmakers)
- **Mission or purpose statement**: To build unified general intelligence that can generate, understand, and operate in the physical world.

## Products & Services
- **Luma Dream Machine**: Consumer-facing product for turning ideas into compelling visuals (video, image, audio, text) using generative AI.
- **Ray 3.2 API**: Production-grade video generation API with full creative control—multi-keyframe (up to 16), V2V up to 20 seconds, reframe, 1080p output, native HDR, and 16-bit EXR export.
- **Uni-1.1 API**: Multimodal reasoning model API for image generation (text-to-image, reference-guided) and natural-language image editing, with up to nine reference inputs per request.
- **Luma Agents**: Agentic creative workflows that plan, generate, iterate, and refine across every stage of creative work—available in the Luma App and trusted by teams at Publicis Groupe, Serviceplan, Mazda, Dentsu, and Humain.
- **Open Physical AI Lab**: An open science effort to solve generalization in physical AI, built in the open for the benefit of all humanity.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metrics**: Total Funding: $1.3B+ (official site) / $1.057B (LinkedIn); Annual Revenue: $5M (LinkedIn estimate); Users worldwide: 30M+; Team Members: 250+
- **Notable Investors/Partners**: HUMAIN (led Series C), Andreessen Horowitz (led Series B), Amplify Partners (led Series A), Matrix (led Seed Round). Partners include Envato, Comfy, Runware, Flora, Krea, Magnific, Fal, LovArt.
- **Growth Signals**: 250+ team members, 30M+ users, $1.3B+ total funding, 45% yearly LinkedIn follower growth, recent product launches (Ray3.2, Uni-1.1, Luma Skills, Wonder Project partnership), $900M Series C raised November 2025.

## Competitive Advantages
- **Full-stack AI**: Luma builds its own foundation models end-to-end, rather than wrapping third-party models—giving it unique control over quality, latency, and cost.
- **Multimodal reasoning**: Uni-1 understands intention and responds to direction, not just prompts—offering brand intelligence at the model level.
- **Cinematic-grade output**: Ray 3.2 delivers 1080p, native HDR, 16-bit EXR export—production-ready for professional film and advertising pipelines.
- **Open science commitment**: The Open Physical AI Lab publishes research openly, attracting top-tier research talent and fostering community trust.
- **Speed & cost**: Claims less than half the price and latency of comparable models.

## Strategic Focus
- **Scaling enterprise adoption**: Custom deployment for creative teams at scale across advertising, film, and gaming production pipelines.
- **Agentic workflows**: Building Luma Agents as a force multiplier for creative teams—automating repetitive tasks while maintaining brand consistency.
- **Physical AI research**: Advancing the Open Physical AI Lab to solve generalization in physical AI, bridging digital generation with real-world operation.
- **API ecosystem growth**: Expanding the developer platform with two tiers (Build and Scale) and SDKs for Python and JavaScript/TypeScript.

## Why Work Here
- **Culture & mission**: "We believe real-world physics is the path to general intelligence. We unite research, product, and go-to-market into one engine." Described as a "lean, high-achieving team" building the future of creative intelligence.
- **Compensation & benefits**: Competitive compensation, 100% covered medical/dental/vision for employee and family, $1,500/year learning stipend, catered meals, team events, home office setup.
- **Work mode**: On-site roles in Redwood City, CA with additional offices in New York, NY; Los Angeles, CA; and international locations (Munich, Paris, London, Berlin).
- **Engineering culture**: Emphasis on shipping frontier research directly into products—"frontier research ships straight into the hands of working creatives." Hiring across research, systems engineering, infrastructure, design, and product.
- **Hiring process**: Transparent and fast—aims to complete within 2-3 weeks. Application review within a week, then recruiter screen, hiring manager interview, and team/leadership interviews.
- **Employee ratings**: 4.1/5.0 on LinkedIn (9 reviews)—Work-Life: 3.6, Compensation: 4.4, Culture: 4.1, Career: 4.2.
- **Open roles**: 46+ open positions including Forward Deployed Engineer, Research Scientist, Software Engineer, Robotics Engineer, Simulation Researcher, Site Reliability Engineer, Product Marketing Manager, Enterprise Account Executive, and more.

## Sources
1. [lumalabs.ai - Careers](https://lumalabs.ai/careers)
2. [lumalabs.ai - Official Site](https://lumalabs.ai/)
3. [lumalabs.ai - LLM Info](https://lumalabs.ai/llm-info)
4. [LinkedIn - Luma](https://linkedin.com/company/lumalabsai)

## Other roles at Luma

- [Research Scientist / Engineer – Reinforcement Learning Infrastructure](https://feeny.ai/job/research-scientist-engineer-reinforcement-learning-infrastructure-luma-sf-bay-v3kqd6ee41ag) — Sf Bay Area, CA
- [Tech Lead Manager, Inference](https://feeny.ai/job/tech-lead-manager-inference-luma-sf-bay-area-wv3qjs47nghh) — Sf Bay Area, CA
- [Creative Technologist](https://feeny.ai/job/creative-technologist-luma-london-1edm2ph4be1t) — London, United Kingdom
- [Sales Manager - West Coast](https://feeny.ai/job/sales-manager-west-coast-luma-los-angeles-qdhxhg06y85x) — Los Angeles, CA
- [Forward Deployed Engineer (EU)](https://feeny.ai/job/forward-deployed-engineer-eu-luma-london-h5nr5x8w2bhd) — London, United Kingdom
- [Product Manager, Applied Research](https://feeny.ai/job/product-manager-applied-research-luma-sf-bay-area-tgmbcragfeqt) — Sf Bay Area, CA
- [Product Manager, Core Product](https://feeny.ai/job/product-manager-core-product-luma-sf-bay-area-dx7f4b6fnr4d) — Sf Bay Area, CA
- [Social Media Editor](https://feeny.ai/job/social-media-editor-luma-los-angeles-ekyz2de2wh6f) — Los Angeles, CA
- [Senior Video Editor](https://feeny.ai/job/senior-video-editor-luma-los-angeles-1ynx82dj6hbw) — Los Angeles, CA
- [Product Marketing Manager](https://feeny.ai/job/product-marketing-manager-luma-sf-bay-area-s0n3bqsd0qy1) — Sf Bay Area, CA