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
Similar Jobs
AdTech • Automotive • Big Data • Consumer Web
Lead AI/machine learning innovations and advanced analytics for new vehicles. Develop statistical models for pricing and valuation, guiding experiments and communicating insights.
Top Skills:
Cloud-Based Data EnvironmentsMachine LearningPythonSQLStatistical Methods
AdTech • Automotive • Big Data • Consumer Web
The Senior Data Scientist will design and implement data-driven initiatives, optimize product offerings using AI/ML, and collaborate with engineers on scalable solutions.
Top Skills:
Generative AiLlmsMachine LearningPythonRagSQL
Enterprise Web • Fintech • Marketing Tech • Software
Lead the development of AI capabilities for ERP and CRM platforms, collaborating with stakeholders to deliver impactful solutions and drive product strategies.
Top Skills:
AIAWSAzureCRMErpGCPLlmsMachine LearningNlpPyTorchTensorFlow
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
