Luma AI seeks high agency talent for various roles across research, product engineering, marketing, and strategy. Ideal candidates are innovative, detail-oriented, and proactive in showcasing their work and achievements.
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.
Top Skills
AI
APIs
Full-Stack Development
Ios Development
Ml
Quality Automation
R&D
Luma AI San Francisco, California, USA Office
San Francisco, CA, United States
Similar Jobs
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
The Director of Quality Assurance leads a QA organization to ensure technology systems deliver flawless, secure experiences, establishing standards and strategies for testing and quality culture across the firm.
Top Skills:
AppiumAWSAzureCircleCICypressGCPGitlab CiJenkinsSelenium
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
The Manager will lead advisory services for skilled nursing clients, focusing on financial reporting, budgeting, and operational improvements while mentoring staff.
Top Skills:
Bill.ComIntaactMicrosoft Office SuiteNetSuiteQuickbooks Online
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
The Sales Enablement Manager will help improve physical operations by enabling sales teams through training, tools, and resources to effectively sell IoT solutions, ensuring they have the knowledge and support needed to address customer needs and succeed in the market.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
