---
title: 'Forward Deployed Engineer (EU) at Luma'
canonical: 'https://feeny.ai/job/forward-deployed-engineer-eu-luma-london-h5nr5x8w2bhd'
type: 'job'
last_seen: '2026-09-05'
---

# Forward Deployed Engineer (EU) at Luma

- **Company:** Luma
- **Location:** London, United Kingdom
- **Compensation:** €130k–€215k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-06-23
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.gem.com/lumalabs-ai/am9icG9zdDpnjWq-wQqpwN-7IP0TahJS

## Job description

## About Luma

A new class of intelligence is emerging, systems that understand and generate the world across video, images, audio, and language. Building multimodal AGI is not just a research problem. 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. 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.

At Luma, we are:

- 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.
- Operating at a scale few companies can match, with the compute and resources to support frontier research ($900M Series C).
- 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.

We’re still early. The playbook is not written. A single exceptional engineer can reshape how the company operates.

Where You Come In Forward Deployed Engineers turn what our models can do into things customers actually rely on. You embed with a customer, learn their workflow, define the problem with them, and build the system that solves it — in production, with their data, with their constraints. You own the relationship and the code. When something is missing in our platform, you build around it. When the same gap shows up across customers, you work with R&D to turn that pattern into product. This is engineering at the edge, where ambiguity is the default and "what should we build?" is yours to answer.

This role is built for people who have already operated as the single point of ownership for a hard problem — and want to keep doing that, with much better tools.

You may have been:

- 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.

What ties these together: you've made the call yourself, you've shipped against ambiguity, and you know the difference between "delivered" and "actually used."

## What You’ll Do

- Work directly with customers to understand their workflows, constraints, and goals.
- Define the problem — there is no PRD waiting for you.
- Build production systems on Luma's APIs, models, and internal tools.
- Prototype, ship, iterate, and maintain systems that customers depend on inside of real environments with real data.
- Own projects end-to-end, from first conversation to deployed system.
- Identify the patterns worth productizing and feed them back to platform and R&D.

Raise the Bar FDEs leverage AI to accelerate implementation, but the core of the role is engineering judgment — knowing what to build, how to structure it, and how to make it work reliably in messy real-world environments. Breadth, product intuition, and customer empathy matter more here than narrow specialization. We're not looking for unicorns; we're looking for builders who can hold all three.

Who You Are:

- Bachelor's degree in Computer Science or equivalent practical experience
- 2+ years of professional software engineering experience
- Strong proficiency in at least one general-purpose language (Python, TypeScript, Go, or similar)
- Experience building and shipping software end-to-end
- Ability to work across the stack and learn unfamiliar systems quickly
- Ability and interest to travel as needed to client sites

What Sets You Apart

- A track record of shipping real systems with real users, not just completing assigned tasks.
- High agency and strong prioritization skills — you can figure out the core problem and move.
- Comfort defining your own path when there isn't one.
- Evidence of working directly with customers or users, and translating what you heard into what you built.
- Clear communication, including explaining a technical decision to a non-technical stakeholder.

## 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
- [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
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- [Product Marketing Manager](https://feeny.ai/job/product-marketing-manager-luma-sf-bay-area-s0n3bqsd0qy1) — Sf Bay Area, CA
- [Applied Research Scientist / Engineer](https://feeny.ai/job/applied-research-scientist-engineer-luma-new-york-2k805g9e3656) — New York, NY