Empowering the world to visualize ideas through pioneering research and design. Try Dream Machine for free → lumalabs.ai/dream-machine

Industry: Software Development
Company Size: 11-50 employees

Luma AI

Savvy Admin PROD

**Where You Come In**

This is a rare opportunity for a go-to-market pioneer and operational architect to place Luma's frontier multimodal AI technology at the heart of the global creative ecosystem. You will be a foundational marketer, crafting the narrative that launches a global movement and defines an entirely new market category. Your mission is to be the catalyst that transforms our technological marvel into the indispensable tool for the world's leading creators.

**What You'll Do**

This is a 0-to-1 opportunity to build, not maintain. You will:

**Craft **~~the core narrative and positioning for Luma's multimodal AI products, translating deep technical capabilities into compelling, user-centric value propositions.~~

**Architect ** and implement the foundational go-to-market playbook to launch and scale Luma's enterprise and studio partnerships globally.

**Lead **~~the development and execution of strategic brand and agency partnerships to drive adoption and define new use cases for our frontier technology.~~

**Drive ** product launches from conception to post-launch analysis, owning the end-to-end marketing strategy and execution.

**Collaborate **~~closely with our world-class Research and Product Engineering teams to deeply understand our foundational models and user-facing products.~~

**Define ** and implement scalable marketing systems and growth loops that accelerate Luma's mission and expand our market presence.

-  Champion the voice of the creative community, ensuring our product marketing resonates with and inspires our target audience.

**Who You Are**

- Senior-level experience in Product Marketing, with a proven track record of driving tangible, high-impact go-to-market results. [VERIFY WITH HM for specific years of experience]

- A demonstrated "builder" with a founder's mentality and a history of creating new systems and market categories from scratch (0-to-1).

- Extreme ownership over outcomes, with the ability to point to specific product launches, positioning strategies, or market expansions you personally owned and delivered.

- Highly strategic, yet equally hands-on, capable of executing relentlessly without an established playbook in a fast-paced, ambiguous environment.

- Exceptional communication skills, with the ability to translate complex technical concepts into clear, compelling, and inspiring marketing messages.

- A genuine passion for the creative potential of AI and Luma's mission to expand human imagination.

**What Sets You Apart (Bonus Points)**

- Experience at product-led growth (PLG) startups or high-growth generative AI companies (e.g., Runway, Pika, Replit, Perplexity).

- Background in top-tier creative/video software ecosystems (e.g., Figma, Notion, Adobe, TikTok).

- A portfolio of work or past campaigns that demonstrates impeccable aesthetic taste and a deep understanding of the creative/design community.

- Proven ability to build strategic alliances and partnerships that drive market adoption and define new use cases.

- Experience marketing to both consumer/creator and enterprise audiences.

Product Marketing Manager

**About Luma**

Luma’s mission is to build unified general intelligence that can generate, understand, and operate in the physical world.

We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision. So, we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change.

**Where You Come In**

We are looking for a hands-on generalist with impeccable taste and a strong, opinionated design perspective. This is not a role for hyper-specialists or managers. You will take ownership of projects and drive the design vision from a fuzzy concept to a polished, shipped feature with a high degree of autonomy. You will tackle the unique challenge of designing novel, intuitive interaction paradigms for an AI-native product, making abstract concepts feel tangible and magical.

At Luma, AI is not a feature we design around. It is how we work. We expect designers to think with AI, generate with AI, build with AI, and use it to accelerate everything from ideation to production. If you have already made this shift in how you work, you will thrive here.

**What You'll Do**

- Own features end-to-end. Lead the design process for major features, from initial product thinking and user exploration to pixel-perfect visual design and high-fidelity interactive prototypes.

- Design novel interactions. Go beyond static screens. Design and prototype fluid, novel interactions for a new medium, taking complex AI concepts and making them feel intuitive and powerful.

- Build functional prototypes with AI. Use AI coding tools to create working prototypes and shippable features, working in close collaboration with engineering. We value designers who can make real things, not just mockups.

- Uphold a high bar for craft. Create exceptionally high-quality visual designs, interactions, and prototypes, demonstrating world-class taste and an obsession with detail.

- Drive work forward through ambiguity. Operate effectively in a fast-paced startup environment where direction is not always clear. Step into problems before being asked, make decisions with incomplete information, and push work forward independently.

- Collaborate across disciplines. Work closely with engineers, product, and AI researchers to explore new use cases, shape product strategy, and ensure the design vision ships at high quality. Design at Luma is not a solo discipline. Outcomes are built across teams.

**Who You Are**

- You have strong experience building delightful and innovative products at scale.

- You are a strong generalist with demonstrated excellence across visual design, interaction design, and product thinking.

- You integrate AI deeply into how you work. AI is visibly woven into your portfolio and your process. You can speak concretely about how AI has changed the way you design and the outcomes you produce. You have experience building functional prototypes using AI coding tools like Cursor or Claude Code.

- You ship. Your portfolio demonstrates work that made it to production, not just explorations and concepts. You show the full arc: how you framed the problem, how the work evolved, and what impact it had.

- You show your thinking. Your portfolio includes prototypes, iterations, and experimentation, not just polished final deliverables. You can articulate what you prioritized, what you cut, and why.

- You move fast and converge. You are comfortable with rapid exploration and know when to stop iterating and commit to a direction. You balance craft with speed.

- You create momentum. You have a track record of driving work forward without being asked, influencing decisions across teams, and raising the quality bar around you.

- A portfolio is required for consideration.

**What Sets You Apart**

We are looking for generalists, but candidates who bring depth in one or both of the following areas will stand out:

- Creative tools experience. You have designed for complex creative software, such as video or photo editors, design tools, or developer tools. You have a deep, intuitive understanding of creative workflows and the mindset of a creator.

- World-class interaction design. Your portfolio is full of fluid, delightful micro-interactions, complex state transitions, and prototypes that go beyond static mockups. You can take abstract AI concepts and make them feel tangible and magical.

**Please note that this role is hybrid, based in our Palo Alto office three days per week. Relocation assistance is available for candidates outside the Bay Area. **

Product Designer

This is a call to the operational experts who are passionate about building world-class teams. As a Recruiting Coordinator, you will be the organizational backbone of our recruiting process, ensuring a seamless, high-touch experience for every candidate and hiring team. You will be a central partner in our growth, managing the complex logistics that allow us to hire the minds building the future of AI. Your mission is to champion our candidate experience and drive the operational efficiency that powers our entire hiring engine.

What You'll Do

- Own Interview Logistics: Mastermind and execute complex interview scheduling across multiple time zones for our technical and GTM teams, ensuring a smooth and efficient process for everyone involved.

- Champion the Candidate Experience: Serve as the primary point of contact for candidates throughout the interview process, providing clear communication and a welcoming, positive experience from first contact to final decision.

- Partner Across Luma: Collaborate closely with recruiters, hiring managers, and interviewers to ensure alignment, manage scheduling changes, and facilitate a seamless feedback loop.

- Drive Process Excellence: Maintain impeccable data integrity within our Applicant Tracking System (ATS) and proactively identify opportunities to streamline and improve our coordination workflows.

- Manage Onsite and Virtual Experiences: Handle all logistics for candidate interviews, whether virtual or in our Palo Alto office, to ensure a flawless and professional experience.

Who You Are

- You have 3+ years of experience as a Recruiting Coordinator, with a proven track record in a fast-paced, high-growth startup environment (Series A-D).

- You have direct experience supporting a tech company and are comfortable in a technically-driven culture.

- You are a master of complex calendar management and have a sharp eye for detail.

- You possess exceptional communication and interpersonal skills, with a natural ability to build rapport with candidates and internal stakeholders at all levels.

- You are proficient with modern Applicant Tracking Systems (e.g., Ashby, Greenhouse, Lever).

- You remain composed and solutions-oriented under pressure, and you thrive in a dynamic environment where priorities can shift quickly.

What Sets You Apart (Bonus Points)

- Hands-on experience with Gem is highly preferred.

- You are fluent in using AI and/or automation tools to enhance and automate your recruiting workflow.

Role Compensation

This is an initial contract-to-hire position. In accordance with California pay transparency requirements, Luma AI provides a good faith estimate of the hourly pay range for this role upon hire: **$45.00 – $60.00/hour **. The final hourly rate will be determined based on the candidate's specific skills, experience, and interview outcomes. This role includes the potential for conversion into a full-time position based on performance and business needs.

Recruiting Coordinator

**Technical Program Manager - Multimodal**

**About Luma AI**

Luma's mission is to build multimodal AI to expand human imagination and capabilities. We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable, and useful systems, the next step function change will come from vision. So, we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change.

**About The Role**

We’re looking for a Technical Program Manager to partner closely with researchers and engineers building state-of-the-art generative AI video models. In this role, you’ll help turn cutting-edge research into scalable, reliable systems by driving execution across research, infrastructure, and product engineering.

You will operate at the intersection of research, systems, and delivery, helping teams plan, prioritize, and execute complex technical programs while preserving the exploratory nature of research.

**What You’ll Do**

- Partner with research scientists, ML engineers, and infrastructure teams to plan and deliver programs for generative video model development

- Translate research goals into clear technical milestones, timelines, and dependencies

- Drive execution across the full lifecycle: experimentation → training → evaluation → scaling → deployment

- Coordinate cross-functional efforts spanning: Model training and evaluation, Data pipelines and curation, Compute planning (GPU/TPU usage, scheduling, cost awareness), Inference optimization and deployment

- Create lightweight but effective program artifacts (roadmaps, risk registers, decision logs)

- Identify risks early (technical, resourcing, compute, data) and proactively drive mitigations

- Improve operational rigor without slowing down research velocity

- Act as a connective tissue between research, product, and platform teams

- Help define and evolve best practices for running large-scale AI research programs

**Required Qualifications**

**What We’re Looking For**

- 5+ years of experience in Technical Program Management, Engineering Program Management, or similar role

- Strong technical background with the ability to engage deeply with: Machine learning concepts (especially deep learning), Large-scale training and experimentation workflows, Distributed systems or ML infrastructure

- Experience working directly with researchers or research-adjacent teams

- Proven ability to manage ambiguous, fast-evolving technical programs

- Excellent communication skills — able to align highly technical stakeholders

**Preferred Qualifications**

- Experience with generative models, especially video, vision, or multimodal systems

- Familiarity with: Model training at scale (multi-node, multi-GPU), Data versioning, experiment tracking, and evaluation frameworks, ML deployment and inference optimization

- Background in computer science, engineering, or a related technical field

- Experience in AI-first or research-driven organizations

**How You’ll Be Successful**

- You bring structure without rigidity to research-driven teams

- You’re comfortable operating in uncertainty and helping others navigate it

- You can dive deep technically, but also zoom out to align teams on priorities

- You care deeply about execution quality, but respect the iterative nature of research

**Why Join Us**

- Work alongside leading researchers pushing the frontier of generative AI video

- Influence how cutting-edge research becomes real-world technology

- Help shape the operational foundations of next-generation AI systems

- Competitive compensation, meaningful equity, and strong benefits

Technical Program Manager, Research

**About Luma AI**

Luma's mission is to build multimodal AI to expand human imagination and capabilities. We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision. So we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change.

**Where You Come In**

This is a rare and foundational opportunity to define the visual storytelling for the future of creative AI. As our Senior Motion Designer, you will translate the groundbreaking functionality of our AI models into magical, compelling marketing content and product demos. You will be instrumental in shaping Luma's brand narrative, creating high-fidelity motion work that communicates the power of our technology to millions of users.

**Location Preference: ** Remote within Bay Area or Los Angeles.

**What You'll Do**

This is a 0-to-1 opportunity, not a maintenance role. You will:

- Translate product functionality and complex use cases into clear, compelling, and magical motion-driven stories for marketing campaigns, product launches, and social media.

- Design and execute high-fidelity product demos and marketing videos that showcase the capabilities of Luma's AI in a visually stunning way.

- Collaborate closely with the creative team to develop and execute motion concepts that align with Luma's brand and high bar for aesthetic quality.

- Own motion projects from concept to completion, handling storyboarding, design, animation, and final production.

- Create a wide range of motion assets, including animated UI for product demos, visual effects, and cinematic sequences that embody Luma's brand.

- Operate as a key creative partner and hands-on builder, contributing to a culture of visual excellence and innovation.

**Who You Are**

- 5+ years of professional experience in motion design, with a portfolio demonstrating exceptional craft and a strong, distinct visual style.

- A proven "builder" with a history of executing high-concept projects and shipping world-class marketing or brand-defining content.

- Impeccable taste and an obsession with craft, detail, and aesthetics.

- A collaborative team player who thrives in a fast-paced environment and is willing to tackle any task to get the job done.

- High agency and the ability to operate with autonomy, taking end-to-end ownership of your work from creative direction to final delivery.

- Deep expertise in industry-standard motion design software, particularly After Effects (workhorse) and Figma.

- A genuine passion for the creative potential of AI and our mission to expand human imagination.

**What Sets You Apart (Bonus Points)**

- Proficiency in 3D motion graphics (Cinema 4D, Unreal Engine are high priorities; Blender, Maya, or Nuke are also valued).

- Experience in brand-based advertising or filmmaking.

- Experience working directly with generative AI tools in a creative capacity.

- A public portfolio that showcases unique, experimental, or non-traditional motion design projects.

Social Media Manager

**About Luma AI**

Luma’s mission is to build multimodal AGI. Through our research on video, 3D, and now multimodal models at Luma, we believe that AI needs to be jointly trained over all signal modalities – text, video, audio, images – analogous to the human brain.

To advance our mission, we build and operate the full stack end-to-end, spanning foundation models, inference systems, and products. This integrated approach powers technologies like Ray3, which is seeing rapidly growing adoption among Fortune 500 companies across media, entertainment, and advertising. Backed by a recent $900M Series C and our partnership with Humain to build a 2 GW compute supercluster (Project Halo), our models and the Dream Machine platform are now enabling creatives worldwide to tell some of the most impactful stories of our time.

**Where You Come In**

This is a rare and foundational opportunity to define the future of creative AI. You will be at the forefront of building and training large-scale multimodal generative models, directly impacting how users create and interact with video and audio. This role offers the chance to bridge cutting-edge research with magical, shipped products, working end-to-end on novel problems with no existing playbook.

**What You'll Do**

This opportunity involves both the “science” and “engineering” parts of research.

This is a multi-stack opportunity where you will work on the intersection of modeling, data, systems, and evaluation.

- Modeling: Architect large-scale video and audio generative models, focusing on strong temporal coherence and high perceptual quality.

- Data: Design, implement, and run robust data pipelines for curating, filtering, and captioning massive video and audio datasets.

- Systems: Train large-scale video and audio generative models on massive datasets and GPU clusters.

- Evaluation: Define and build novel evaluation frameworks to measure realism, temporal consistency, controllability, and human-aligned creative quality.

**Who You Are**

- Strong foundation in machine learning and generative modeling, with experience in video, audio, or multimodal domains.

- Deep understanding of autoregressive, diffusion/flow-based, or hybrid generative models, and their tradeoffs for long-horizon generation.

- Hands-on experience with PyTorch and large-scale training (distributed, mixed precision, large datasets).

**What Sets You Apart (Bonus Points)**

Experience in the following around data, modeling, ~~or ~~ evaluation:

- Text-to-video/audio models

- Vision language models

- Audio language models

~~Your application are reviewed by real people. ~~

Research Scientist / Engineer — Foundation Model (Video / Audio Generation)

**About Luma AI**

Luma's mission is to build multimodal AI to expand human imagination and capabilities. We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable, and useful systems, the next step function change will come from vision. So, we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change.

**About The Role**

This is a foundational opportunity to refine, personalize, and build the final capabilities and control interface of Luma’s foundation models and drive real-world value.

You’ll sit at the intersection of **research, product, and partnerships **, helping close the gap between ~~state-of-the-art ~~ and ~~production-ready ~~. Your mission is to make our video foundation models more **expressive, controllable, and personalized **– solving the “last mile” challenges demanded by top-tier creative workflows.

**What You'll Do**

You will work as a fullstack applied researcher across **modeling, data, systems, and evaluation ** to adapt and deploy models to production.

- Controllability and Features: You will leverage a toolkit spanning SFT, RL, personalization, distillation, control adapters, and more, to develop and maintain model variants purpose-built for user environments and creative partners.

- Personalization: Architect the data engine for rapid adaptation. You will leverage proprietary, vertical-specific datasets to create specialized finetunes and improve future training recipes, ensuring our models rely on data that reflects real-world use cases.

- End-User Quality: You will define and drive end-user quality – setting success metrics, building user-aligned evaluations, and iterating on the model/data/evals loop to meet strict fidelity and reliability targets in specific enterprise verticals.

- Cross-functional Collaboration: Partner closely with Product, Research, and Design to translate creative intent and user feedback into model behavior, intuitive controls, and production-ready capabilities for users and partners.

**Who You Are**

- Product-Obsessed Researcher/Engineer: You treat end users and partners as collaborators and enjoy solving specific “last mile” problems—not just optimizing public metrics.

- ML Expert: Strong ML fundamentals with deep experience in visual generative models (diffusion/transformers or related architectures). Ideal candidates also have a deep understanding of at least one: fine-tuning, personalization, domain adaptation, data curation, targeted distillation, interpretability, or human-feedback-driven refinement.

- Hands-On Builder: Strong Python and deep learning engineering skills (ideally PyTorch), comfortable moving between research prototypes and production systems.

**Bonus Points**

- Contributions to state-of-the-art models in image/video generation.

- Experience collaborating with creative partners (VFX, animation, film, design tools).

- Track record building workflows/tools that materially improve iteration speed and evaluation rigor.

- Familiarity with large-scale training infrastructure and distributed systems (Ray, Slurm, Kubernetes).

Applied Research Scientist / Engineer

**About Luma AI**

Luma's mission is to build multimodal AI to expand human imagination and capabilities. We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision. So we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change.

**Where You Come In**

This is a rare opportunity to join a foundational team at the intersection of finance and frontier AI. You will work closely with business leaders to forecast the top-line metrics that drive our mission, influencing resource allocation to ensure we are building the next step-function change in intelligence. By combining world-class financial modeling with a deep understanding of our multimodal systems, you will become a trusted partner in supporting the strategic investment decisions that allow Luma to expand human imagination.

**What You'll Do**

- Build and own the core FP&A engine, leading monthly forecasting, and annual budgeting with a focus on precision and strategic alignment

- Translate complex financial data into actionable insights for stakeholders, providing the clarity needed to make high-stakes decisions at speed

- Partner cross-functionally to gather financial intelligence, align on strategic initiatives, and ensure consistent reporting across the organization

- Navigate and synthesize data from diverse systems to identify the trends and drivers that will shape our long-term business strategy

- Drive financial integration for acquisitions, providing holistic FP&A support to ensure seamless alignment and reporting from day one

- Improve our processes, designing innovative analyses and leveraging automation to scale our financial capabilities

- Execute high-impact ad hoc analysis to solve immediate business challenges in a fast-evolving AI landscape

- Champion digitalization, moving away from manual workflows toward automated, scalable systems that strengthen our analytical rigor

- Work cross-functionally with HR to consolidate monthly headcount data

**Who You Are**

- Bachelor's degree in Finance, Business Administration, Accounting, or Economics

- 6+ years of progressive and relevant experience within a dynamic finance environment, with a strong focus on FP&A or financial reporting

- Prepare monthly analysis on key financial statement accounts (income statement, balance sheet, and cash flow)

- Expert in financial modeling and analysis

- Demonstrated profound financial acumen with a strong emphasis on business analysis and strategic financial insights

- Excellent written and verbal communication skills; able to present complex financial data clearly and effectively to various audiences, including senior executives

- Quick to adapt and succeed in fast-moving settings with changing priorities and tight deadlines

**What Sets You Apart (Bonus Points)**

- Master's degree or relevant professional certifications (e.g., CFA, CPA)

- Understanding of software business characteristics and financial models

- Familiarity with infrastructure cost analysis and the ability to evaluate the unit-economics of new products and features and their impact to the overall company financials in order to inform operational strategy

- An understanding of GTM engine and the KPIs used to measure success a plus

Senior Financial Analyst, FP&A

**About Luma AI**

Luma’s mission is to build multimodal AGI. Through our research on video, 3D, and now multimodal models at Luma, we believe that AI needs to be jointly trained over all signal modalities – text, video, audio, images – analogous to the human brain.

To advance our mission, we build and operate the full stack end-to-end, spanning foundation models, inference systems, and products. This integrated approach powers technologies like Ray3, which is seeing rapidly growing adoption among Fortune 500 companies across media, entertainment, and advertising. Backed by a recent $900M Series C and our partnership with Humain to build a 2 GW compute supercluster (Project Halo), our models and the Dream Machine platform are now enabling creatives worldwide to tell some of the most impactful stories of our time.

**Where You Come In**

This is a rare and foundational opportunity to define the future of multimodal AI. You will be at the forefront of building and training large-scale multimodal models, directly impacting how users interact with pixels. This role offers the chance to bridge cutting-edge research with magical, shipped products, working end-to-end on novel problems with no existing playbook.

**What You'll Do**

This opportunity involves both the “science” and “engineering” parts of research, two aspects that are of equal importance.

This is a multi-stack opportunity where you will work on the intersection of modeling, data, systems, and evaluation.

- Modeling: Architect large-scale multimodal agentic models that use reasoning, planning, coding, and tool calling to achieve complex, multi-step multimodal work.

- Data: Hillclimbing existing tasks and formulating new tasks through data. Design, implement, and run robust data pipelines for constructing, enriching, and filtering massive pixel datasets.

- Systems: Train large-scale multimodal models on massive datasets and GPU clusters.

- Evaluation: Define and build novel evaluation frameworks to measure multimodal agents.

**Who You Are**

- Strong foundation in machine learning, foundation models and agentic systems.

- Deep understanding of agentic systems and approaches in LLM/VLM reasoning, coding models, LLM/VLM tool calling.

- Hands-on experience with PyTorch and large-scale training (distributed, mixed precision, large datasets).

**What Sets You Apart (Bonus Points)**

Experience in the following around data, modeling, ~~or ~~ evaluation:

- State-of-the-art foundation models in reasoning

- State-of-the-art foundation models in coding

- State-of-the-art foundation models in tool calling

- State-of-the-art multimodal agents

~~Your application are reviewed by real people. ~~

Research Scientist / Engineer — Multimodal Agent

**About Luma**

Luma’s mission is to build unified general intelligence that can generate, understand, and operate in the physical world.

We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision. So, we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change.

**Where You Come In**

We are looking for a senior, hands-on generalist with impeccable taste and a strong, opinionated design perspective. This is not a role for hyper-specialists or managers; you will take ownership of projects and drive the design vision from a fuzzy concept to a polished, shipped feature with a high degree of autonomy. You will tackle the unique challenge of designing novel, intuitive interaction paradigms for an AI-native product, making abstract concepts feel tangible and magical.

**What You'll Do**

- Own Features End-to-End: Lead the design process for major features, from initial product thinking and user exploration to pixel-perfect visual design and high-fidelity interactive prototypes.

- Design Novel Interactions: Go beyond static screens. You will design and prototype fluid, novel interactions for a new medium, taking complex AI concepts and making them feel intuitive and powerful.

- Uphold a High Bar for Craft: Create exceptionally high-quality visual designs, interactions, and prototypes, demonstrating world-class taste and an obsession with detail.

- Define Product Strategy: Collaborate closely with engineers, AI researchers, and product teams to explore new use cases, help define product strategy, and ensure high-quality implementation of the design vision.

- Thrive in Ambiguity: Operate effectively in a fast-paced, ambiguous startup environment, turning fuzzy research concepts into concrete, shippable products.

**Who You Are**

You have 7+ years of experience building delightful and innovative products at scale.

You are a strong generalist with demonstrated excellence across all three pillars: visual design, interaction design, and product thinking.

- Your portfolio showcases more than just static screens; it includes high-fidelity, interactive prototypes built in tools like Figma, Framer, or Origami. (A portfolio is required for consideration.)

- You have an exceptional ability to articulate your design vision and collaborate effectively with a cross-functional team.

- You have worked in a startup or a similarly fast-paced environment and know how to balance craft with speed.

**What Sets You Apart (Bonus Points)**

- Experience designing creative tools (e.g., video/photo editors, design software).

- Experience designing for generative AI technologies like LLMs or Image/Video Models.

- Experience with other interactive media like 3D, game design, or visual AI prototyping tools like ComfyUI.

- Work experience at a top-tier, design-led company known for high-craft products.

**About Luma AI**

Luma's mission is to build multimodal AI to expand human imagination and capabilities. We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable, and useful systems, the next step function change will come from vision. We are working on training and scaling up foundation models for systems that can see, understand, show, and explain.

**Where You Come In**

This isn't just another frontend role, it's a rare opportunity to invent the new UI primitives for AI-native experiences at the intersection of technical excellence and impeccable design taste. You'll join a small, world-class team building the Dream Machine web application, working directly with designers to bring ambitious visions to life for millions of users. You will also work closely with the Growth Engineering team on fast-moving, experiment-driven surfaces focused on improving key metrics like signup, onboarding, and activation.

**What You'll Do**

- Build and maintain user-facing features using React, TypeScript, and modern frontend tooling.

- Translate product requirements and design specifications into high-quality, production-ready interfaces.

- Rapidly prototype and iterate on growth experiments to improve conversion, onboarding, and engagement.

- Partner with product, design, and data to define, ship, and analyze experiments.

- Improve code quality through clean component patterns, documentation, and thoughtful abstractions.

- Contribute to frontend architecture, shared components, and internal best practices.

- Collaborate with product, design, and backend teams to ensure clarity of requirements and smooth execution.

**Who You Are**

- You have 3+ years of frontend engineering experience, ideally on consumer or high-usage web products.

- You are a master of your craft, with deep expertise in JavaScript/TypeScript, React, and modern CSS.

- You have a solid grasp of state management, component design, and performance optimization.

- You have experience working in fast-paced, experiment-driven environments with a focus on metrics and iteration.

- You write clean, maintainable, and reusable code that serves as the foundation for a scalable design system.

- You are comfortable working closely with designers and product teams to deliver clear, consistent UIs.

- You are detail-oriented and committed to building reliable, maintainable systems.

- You are familiar with common frontend patterns and fundamentals (including how to center a div).

**What Sets You Apart (Bonus Points)**

- Examples of shipping production web applications.

- Experience running or supporting A/B tests and analyzing results.

- Experience working on media-rich or interactive web apps.

- Familiarity with animation or interaction libraries (e.g., Framer Motion, GSAP).

- Experience with creative tools, video, or AI-adjacent products.

Software Engineer - Growth

**About Luma AI**

Luma's mission is to build multimodal AI to expand human imagination and capabilities. We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable, and useful systems, the next step function change will come from vision. We are working on training and scaling up foundation models for systems that can see, understand, show, and explain.

**Where You Come In**

This isn't just another frontend role, it's a rare opportunity to invent the new UI primitives for AI-native experiences at the intersection of technical excellence and impeccable design taste. You'll join a small, world-class team building the Dream Machine web application, working directly with designers to bring ambitious visions to life for millions of users.

**What You'll Do**

- Build and maintain user-facing features using React, TypeScript, and modern frontend tooling.

- Translate product requirements and design specifications into high-quality, production-ready interfaces.

- Improve code quality through clean component patterns, documentation, and thoughtful abstractions.

- Contribute to frontend architecture, shared components, and internal best practices.

- Collaborate with product, design, and backend teams to ensure clarity of requirements and smooth execution.

**Who You Are**

- You have 5+ years of frontend engineering experience, ideally on consumer or high-usage web products.

- You are a master of your craft, with deep expertise in JavaScript/TypeScript, React, and modern CSS.

- You have a solid grasp of state management, component design, and performance optimization.

- You write clean, maintainable, and reusable code that serves as the foundation for a scalable design system.

- You are comfortable working closely with designers and product teams to deliver clear, consistent UIs.

- You are detail-oriented and committed to building reliable, maintainable systems.

- You are familiar with common frontend patterns and fundamentals (including how to center a div).

**What Sets You Apart (Bonus Points)**

- Examples of shipping production web applications.

- Experience working on media-rich or interactive web apps.

- Familiarity with animation or interaction libraries (e.g., Framer Motion, GSAP).

- Experience with creative tools, video, or AI-adjacent products.

Software Engineer - Frontend UI

**The Shift**

For the last decade, frontend engineering has largely been defined by deterministic patterns: click a button, fetch data, render a list. However, the era of static interfaces is coming to an end. At Luma AI, we are building multimodal AGI, systems that can see, hear, and imagine. This new form of intelligence requires a new syntax of interaction.

**The Mission**

We are a full-stack AI lab with the capital and compute of a tech giant, yet we operate with the speed and leanness of a small startup. We train foundational models and build the products that deliver them. We are looking for a Design Engineer to invent the UI primitives for this new paradigm, bridging the gap between the unpredictability of generative models and the user’s need for control and creativity.

**The Challenge**

- Inventing Syntax: Define how humans collaborate with agents. How does a user interrupt a video generation stream? How do we visualize the "thought process" of a multimodal model? You will answer these questions with code.

- Engineering Trust: You will build interfaces that make complex, asynchronous AI workflows feel transparent and responsive, managing the delicate balance between latency and magic.

- Orchestrating Chaos: You will architect frontend systems capable of handling heavy media assets and non-deterministic states without compromising the visual fluidity and responsiveness of the application.

**The Builder We Need**

- A "Design Engineer": You don't just implement specs; you obsess over the physics of a toggle and the timing of a transition. You believe that in an AI-native product, the interface is the product.

- Master of the DOM: You have deep, production-level expertise in React and TypeScript. You understand the browser rendering pipeline intimately and know how to extract 60fps performance even under heavy computational load.

- Inventor: You are tired of building standard SaaS dashboards. You want to build 0-to-1 interfaces for a technology that is still being defined.

Frontend Engineer | Agentic UI

**About Luma AI**

Luma’s mission is to build multimodal AI to expand human imagination and capabilities. We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision. So, we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change.

**About The Role**

The Training Infrastructure team at Luma is responsible for building and maintaining the distributed systems that enable training of our large-scale multimodal models across thousands of GPUs. This team ensures our researchers can focus on innovation while having access to reliable, efficient, and scalable training infrastructure that pushes the boundaries of what's possible in AI model development. We are looking for engineers with significant experience solving hard problems in PyTorch, CUDA and distributed systems. You will work alongside the rest of the research team to build & train cutting edge foundation models on thousands of GPUs that are built to scale from the ground up.

**Responsibilities**

- Design, implement, and optimize efficient distributed training systems for models with thousands of GPUs

- Research and implement advanced parallelization techniques (FSDP, Tensor Parallel, Pipeline Parallel, Expert Parallel)

- Build monitoring, visualization, and debugging tools for large-scale training runs

- Optimize training stability, convergence, and resource utilization across massive clusters

**Experience**

- Extensive experience with distributed PyTorch training and parallelisms in foundation model training

- Deep understanding of GPU clusters, networking, and storage systems

- Familiarity with communication libraries (NCCL, MPI) and distributed system optimization

- (Preferred) Strong Linux systems administration and scripting capabilities

- (Preferred) Experience managing training runs across >100 GPUs

- (Preferred) Experience with containerization, orchestration, and cloud infrastructure

Research Scientist / Engineer – Training Infrastructure

**Where You Come In**

This is a rare and foundational opportunity to define the future of multimodal AI. You will be at the forefront of architecting the intelligence governing our world-simulations—the reasoning core at the heart of our world-modeling efforts. This role offers the chance to bridge frontier research with magical, shipped products like Dream Machine and Ray3, solving novel problems where no playbook exists.

**What You'll Do**

This opportunity involves both the “science” and “engineering” of research—two aspects we view as equally critical. You will work at the intersection of modeling, data, systems, and evaluation to advance the state-of-the-art in multimodal intelligence.

- Unified Modeling & Efficiency Drive the core research that powers all of Luma's products — co-designing multimodal representations, advancing core algorithms for long-context training, and establishing rigorous scaling laws to predict performance across compute budgets.

- Alignment & Evaluation Close the gap between training loss and user experience. Develop proxy tasks and automated metrics that serve as the compass for research decisions — ensuring our models optimize for what actually matters to users, not just benchmarks.

- Research Infrastructure Build the engine for high-velocity research. Maintain production-research parity, ensure reproducibility, and design systems for rapid experimentation — so that novel ideas go from hypothesis to validated result as fast as possible.

**Who You Are**

- A Bachelor's, Master's, or PhD degree in Computer Science, Machine Learning, Physics, or Mathematics is essential.

- A 'first-principles' intuition for scaling. You don't just follow the literature; you understand why certain architectures succeed or fail at scale.

- Fluent in the language of frontier AI. You see research and engineering as a single, unified discipline.

- Proven ability to design and rigorously analyze experiments and to articulate complex technical concepts effectively.

- Practical experience with distributed or high-performance computing environments, particularly managing and optimizing training runs on large-scale GPU clusters.

**What Sets You Apart (Bonus Points)**

- A track record of publishing at top-tier venues (NeurIPS, ICML, ICLR) and a mission-driven, "first-principles" mindset.

- Infrastructure Expertise: Proven ability to build and lead research infrastructure for technical teams, ensuring production-research parity.

- Engineering Excellence: Strong commitment to software engineering best practices, including optimizing for code readability and reusability, implementing comprehensive unit and integration tests, and maintaining high documentation standards (necessary docstrings).

- Experience with low-precision training and hardware-aware optimization for next-gen clusters.

~~Your application are reviewed by real people. ~~

Research Scientist / Engineer – Foundation Model: Core Research

**About Luma AI**

Luma's mission is to build multimodal AI to expand human imagination and capabilities. We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision. So we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change.

**Where You Come In**

This is a rare opportunity for a pioneering Social Media Manager to define a new medium and place Luma's frontier AI technology at the heart of the global creative ecosystem. You will be instrumental in crafting the story that launches a global movement, transforming our technological marvel into the indispensable tool for the world's leading creators.

**What You'll Do**

This is a 0-to-1 opportunity to build, not maintain. You will:

- Craft and execute a market-making social media strategy that introduces Luma's foundational multimodal AI to a global audience and creates an entirely new market category.

- Build our social presence from the ground up, owning content creation, video editing, and copywriting across key platforms with impeccable taste and visual craft.

- Pioneer new content formats and engagement strategies that resonate with creative professionals and AI enthusiasts, turning ambiguity into viral moments and community growth.

- Operate with high agency and extreme ownership, driving tangible, high-impact go-to-market outcomes in a fast-paced, resource-constrained environment.

- Collaborate closely with our Product, Engineering, and Research teams to translate complex AI concepts into magical, accessible, and shareable social content.

**Who You Are**

- 5+ years of professional experience in social media management, content creation, or brand marketing, with a proven track record of driving significant impact.

- A demonstrated "builder" with a history of creating social media engines or communities from scratch (0-to-1 experience), rather than just optimizing existing large-scale accounts.

- Exceptional aesthetic taste and an obsession with visual craft and detail, evident in a strong, opinionated public portfolio or past brand work.

- High agency and the ability to operate autonomously in ambiguous, fast-paced environments, taking full ownership of end-to-end execution.

- A genuine passion for the creative potential of AI and Luma's mission to expand human imagination.

**What Sets You Apart (Bonus Points)**

- Experience at high-growth generative AI startups (e.g., Runway, Pika, Midjourney) or leading creative software/video apps (e.g., Figma, Notion, TikTok, Adobe). We are open to exceptional talent from modern, innovative brands outside of AI.

- Demonstrated mastery of specific social platforms (e.g., X/Twitter, TikTok, Instagram, YouTube) and their native content formats (short-form video, technical threads, meme culture).

- Experience in a role that required translating complex technical products into engaging, user-friendly content.

- A portfolio that showcases viral growth milestones, high engagement rates, or successful community-building initiatives.

**About Luma**

When there’s a new wave of technology, you want to be at the core—that’s where you have the most impact, work on the hardest problems, and grow the most.

You can’t find this at an AI startup building on someone else’s models—only at companies building the foundation models themselves.

The models are where the real innovation is happening. As they get more powerful, they're not just improving existing software—they're replacing it entirely. Foundation model companies are now building products deeply integrated with their models that fundamentally transform how work gets done.

**Luma Is Exactly That**

- A top-tier research team with one of the best video generation models on the market (Ray-3.14)

- An enormous compute budget that only a few companies in the world can match ($900M Series C)

- The only one at that level directly targeting the creative space

- Building products that will completely change how creative work is done

And we’re still small enough that a single great hire can reshape the company.

**Where You Come In**

We are looking for a senior, hands-on security leader to build the security foundations that will support Luma’s next stage of growth. Our models and products are becoming critical infrastructure for creative professionals and enterprises. As adoption scales, we are investing in modern, principled systems for identity, access control, secrets, encryption, and safe operation of autonomous AI.

This is a builder role. You will design and ship the platform security systems and operational tooling that allow us to move quickly while meeting the expectations of world-class customers—things like auth and identity infrastructure, fine-grained access scoping, break-glass escalation systems, and agent permission frameworks. You will partner deeply with infrastructure, research, and product teams to make secure design the default, not something bolted on after the fact.

**What You’ll Do**

- Design and mature how access to production systems is granted and governed

- Implement scalable RBAC / ABAC approaches across infrastructure and products

- Build robust secrets management and credential lifecycle practices

- Establish strong encryption and key management patterns

- Define how agents and automated systems receive authority, how it is scoped, and how it is revoked

- Create auditability and forensic visibility for user and system actions

- Lead threat modeling across infrastructure, product, and research domains

- Collaborate with engineering teams to make secure patterns easy and automatic

- Help drive readiness for enterprise security expectations and reviews

- Strengthen incident detection and response capabilities

- Raise the company’s security bar while preserving development velocity

**Required**

**Who You Are**

- You have built and operated security foundations in real production environments

- You are excellent at writing code, reviewing infrastructure, and shipping systems

- You recognize that in AI platforms, software systems can act with real authority

- You’ve thought deeply about how services, automations, or models are scoped, constrained, and observed

- You think in terms of systems and trust boundaries

- You have high agency—you identify problems and drive them to resolution

- You can balance pragmatism with long-term rigor

- Engineers trust you and enjoy partnering with you

**What Sets You Apart**

- You’ve helped organizations evolve toward mature, scalable security architectures

- You have experience implementing least-privilege access and modern identity models

- You’ve built durable approaches to secrets management and credential lifecycle

- You understand the nuances of securing multi-tenant AI platforms

- You have strong opinions on how autonomous systems should be permissioned and governed

- You know how to build detection and response capabilities in high-growth environments

- You can represent the company in detailed customer and partner security discussions

- You build platforms and paved roads that engineers love to use

**Why This Role Exists**

AI systems are becoming actors. They retrieve data. They call tools. They take actions independently. Security is no longer just about who can log into a machine. It’s about defining how authority is granted, constrained, observed, and trusted across humans and intelligent systems.

We are building those foundations now. If you want to shape how security works at an AI-native company operating at global scale, we should talk.

Security Engineer - Tech Lead

**About Luma AI**

Luma’s mission is to build multimodal AGI. Through our research on video, 3D, and now multimodal models at Luma, we believe that AI needs to be jointly trained over all signal modalities – text, video, audio, images – analogous to the human brain.

To advance our mission, we build and operate the full stack end-to-end, spanning foundation models, inference systems, and products. This integrated approach powers technologies like Ray3, which is seeing rapidly growing adoption among Fortune 500 companies across media, entertainment, and advertising. Backed by a recent $900M Series C and our partnership with Humain to build a 2 GW compute supercluster (Project Halo), our models and the Dream Machine platform are now enabling creatives worldwide to tell some of the most impactful stories of our time.

**Where You Come In**

This is a rare opportunity to work at the absolute frontier of creative AI, building the next generation of interactive voice agents. You will join a foundational team responsible for developing the core models that allow humans to converse with AI in real-time with unprecedented realism and expressiveness. Your work will bridge the gap between deep research and magical, shipped products that millions of users will interact with.

**What You'll Do**

This opportunity involves both the “science” and “engineering” parts of research.

This is a multi-stack opportunity where you will work on the intersection of modeling, data, systems, and evaluation.

- Modeling: Build next-generation voice agents that tightly integrate audio understanding (e.g., ASR, diarization, emotion recognition) and audio generation (e.g., TTS, voice conversion) for real-time, interactive use.

- Data: Design, implement, and run robust data pipelines and training curricula for speech and audio, including large-scale pretraining, fine-tuning, and data quality iteration.

- Systems: Train large-scale video and audio generative models on massive datasets and GPU clusters, and develop low-latency architectures and inference strategies for streaming, conversational, and on-device deployment.

- Evaluation: Define and build novel evaluation frameworks for voice agents, covering accuracy, robustness, latency, controllability, and human perceptual quality.

**Who You Are**

- A strong background in machine learning and generative modeling.

- Practical understanding of speech and audio modeling, including representation learning, sequence modeling, and conditioning/control mechanisms.

- Experience building and training models in PyTorch, including large-scale or latency-sensitive systems.

**What Sets You Apart (Bonus Points)**

- Experience with speech or audio understanding tasks (e.g., ASR, diarization, speaker/emotion recognition, audio classification).

- Experience with speech or audio generation (e.g., TTS, voice conversion, expressive or controllable speech).

- Familiarity with streaming or real-time inference, model compression, or deployment on consumer hardware.

- A portfolio of past projects, publications, or open-source contributions demonstrating your work in generative audio or speech AI.

~~Your application are reviewed by real people. ~~

Research Scientist / Engineer — Foundation Model (Voice Agents)

**About Luma AI**

Luma’s mission is to build multimodal AGI. Through our research on video, 3D, and now multimodal models at Luma, we believe that AI needs to be jointly trained over all signal modalities – text, video, audio, images – analogous to the human brain.

To advance our mission, we build and operate the full stack end-to-end, spanning foundation models, inference systems, and products. This integrated approach powers technologies like Ray3, which is seeing rapidly growing adoption among Fortune 500 companies across media, entertainment, and advertising. Backed by a recent $900M Series C and our partnership with Humain to build a 2 GW compute supercluster (Project Halo), our models and the Dream Machine platform are now enabling creatives worldwide to tell some of the most impactful stories of our time.

**Where You Come In**

This is a rare and foundational opportunity to define the future of multimodal AI. You will be at the forefront of building and training large-scale multimodal models, directly impacting how users interact with pixels. This role offers the chance to bridge cutting-edge research with magical, shipped products, working end-to-end on novel problems with no existing playbook.

**What You'll Do**

This opportunity involves both the “science” and “engineering” parts of research, two aspects that are of equal importance.

This is a multi-stack opportunity where you will work on the intersection of modeling, data, systems, and evaluation.

- Modeling: Architect large-scale multimodal models with a focus on pixel data. Solving challenges in both understanding of and generation of pixels.

- Data: Hillclimbing existing tasks and formulating new tasks through data. Design, implement, and run robust data pipelines for constructing, enriching, and filtering massive pixel datasets.

- Systems: Train large-scale multimodal models on massive datasets and GPU clusters.

- Evaluation: Define and build novel evaluation frameworks to measure pixel intelligence, from understanding (recognition, grounding, spatial-temporal perception...) to generation (realism, consistency, controllability, and human-aligned creative quality).

**Who You Are**

- Strong foundation in machine learning and foundation models, with experience in image, video, or multimodal domains.

- Deep understanding of autoregressive, diffusion/flow-based, or hybrid/unified models.

- Hands-on experience with PyTorch and large-scale training (distributed, mixed precision, large datasets).

**What Sets You Apart (Bonus Points)**

Experience in the following around data, modeling, ~~or ~~ evaluation:

- State-of-the-art foundation models in understanding pixels

- State-of-the-art foundation models in generating pixels

~~Your application are reviewed by real people. ~~

Research Scientist / Engineer — Foundation Model (Image / Video)

**About The Role**

This is a foundational opportunity to refine, personalize, and build the final capabilities and control interface of Luma’s foundation models and drive real-world value.

You’ll sit at the intersection of **research, product, and partnerships **, helping close the gap between ~~generalist capability ~~ and ~~production needs ~~. Your mission is to make our video foundation models more **expressive, controllable, and personalized **– solving the “last mile” challenges demanded by top-tier creative workflows.

**What You’ll Do**

You will work as a fullstack researcher across **modeling, data, systems, and evaluation ** to translate foundational capabilities into the personalized and high-fidelity tools required by top-tier creative production.

- Controllability and Features: You will use SFT, RL, distillation, and adapter-based methods to give Luma’s models precise control and creative capabilities for high-fidelity, partner-grade workflows.

- Personalization: You will use context management, PEFT, and preference learning to embed domain expertise and long-horizon memory into our models. You’ll ground our data engine in real-world workflows, translating usage into training and data insights that shape future models.

- End-User Quality: You will define and drive end-user quality – setting success metrics, building user-aligned evaluations, and iterating on the model/data/evals loop to meet strict fidelity and reliability targets in specific verticals.

- Cross-functional Collaboration: You will partner with Product and Design to turn creative intent and user feedback into clear specs and shippable model behaviors, delivering intuitive control and dependable capabilities for users and partners.

**Who You Are**

- Strong foundation in machine learning with deep experience in visual generative models (diffusion/transformers or related architectures). Ideal candidates also have a deep understanding of at least one: fine-tuning, personalization, domain adaptation, data curation, targeted distillation, interpretability, or human-feedback-driven refinement.

- You are a product-obsessed researcher/engineer. You treat end users and partners as collaborators and enjoy solving specific “last mile” problems – not just optimizing public metrics.

- Hands-on experience with PyTorch and large model training.

**Bonus Points**

- Contributions to state-of-the-art models in image/video generation.

- Experience collaborating with creative partners (VFX, animation, film, design tools).

- Track record building workflows/tools that materially improve iteration speed and evaluation rigor.

- Familiarity with large-scale training infrastructure and distributed systems (Ray, Slurm, Kubernetes).

Research Scientist / Engineer - Controllability, Personalization & Productization

**About Luma AI**

Luma's mission is to build multimodal AI to expand human imagination and capabilities. We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable, and useful systems, the next step function change will come from vision. So, we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change.

**About The Role**

Luma is pushing the boundaries of generative AI, building tools that redefine how visual content is created. We're seeking a Research Engineer to design and scale the infrastructure that powers our model evaluation efforts. This role is about building the pipelines, metrics, and automated systems that close the loop between model output, evaluation, and improvement. You'll work across research, engineering, and product teams to ensure our models are measured rigorously, consistently, and in ways that directly inform development.

**Responsibilities**

- Design and implement scalable pipelines for automated evaluation of generative models, with a focus on visual and multimodal outputs (image, video, text, audio).

- Develop novel metrics and evaluation models that capture qualities like fidelity, coherence, temporal consistency, and alignment with human intent.

- Integrate evaluation signals into training loops (including reinforcement learning and reward modeling) to continuously improve model performance.

- Build infrastructure for large-scale regression testing, benchmarking, and monitoring of multimodal generative models.

- Collaborate with researchers running human studies to translate human evaluation frameworks into automated or semi-automated systems.

- Partner with model researchers to identify failure cases and build targeted evaluation harnesses.

- Maintain dashboards, reporting tools, and alerting systems to surface evaluation results to stakeholders.

- Stay current with emerging evaluation techniques in generative AI, multimodal LLMs, and perceptual quality assessment.

**Qualifications**

- Master's or PhD in Computer Science, Machine Learning, or a related technical field (or equivalent industry experience).

- 3+ years of experience building ML evaluation systems, model pipelines, or large-scale infrastructure.

- Hands-on experience working with visual data (images and/or video), including evaluation, modeling, or data preparation.

- Proficiency in Python and ML frameworks (PyTorch, JAX, or TensorFlow).

- Familiarity with human-in-the-loop evaluation workflows and how to scale them with automation.

- Strong background in machine learning, with experience in generative models (diffusion, LLMs, multimodal architectures).

- Strong software engineering skills (CI/CD, testing, data pipelines, distributed systems).

**Nice to Have**

- Experience with reinforcement learning or reward modeling.

- Prior work on perceptual metrics, multimodal evaluation benchmarks, or retrieval-based evaluation.

- Background in large-scale model training or evaluation infrastructure.

- Experience designing metrics for perceptual quality

- Familiarity with creative media workflows (film, VFX, animation, digital art).

- Contributions to open-source evaluation libraries or benchmarks.

Research Engineer - Evaluations

**About Luma AI**

Luma’s mission is to build multimodal AGI. Through our research on video, 3D, and now multimodal models at Luma, we believe that AI needs to be jointly trained over all signal modalities – text, video, audio, images – analogous to the human brain.

To advance our mission, we build and operate the full stack end-to-end, spanning foundation models, inference systems, and products. This integrated approach powers technologies like Ray3, which is seeing rapidly growing adoption among Fortune 500 companies across media, entertainment, and advertising. Backed by a recent $900M Series C and our partnership with Humain to build a 2 GW compute supercluster (Project Halo), our models and the Dream Machine platform are now enabling creatives worldwide to tell some of the most impactful stories of our time.

**Where You Come In**

This is a rare and foundational opportunity to define the future of multimodal AI. You will be at the forefront of building and training large-scale multimodal models and systems that complete multimodal work. This role offers the chance to bridge cutting-edge research with magical, shipped products, working end-to-end on novel problems with no existing playbook.

**What You'll Do**

This opportunity involves both the “science” and “engineering” parts of research, two aspects that are of equal importance.

This is a multi-stack opportunity where you will work on the intersection of modeling, data, systems, and evaluation that enable building agents that can complete multimodal work end-to-end.

- Modeling: Architect large-scale multimodal agentic models that use reasoning, planning, coding, and tool calling to achieve complex, multi-step multimodal work.

- Data: Hillclimbing existing tasks and formulating new tasks through data. Design, implement, and run robust data pipelines for constructing, enriching, and filtering agentic datasets.

- Systems: Train large-scale multimodal agents on massive datasets and GPU clusters.

- Evaluation: Define and build novel evaluation frameworks to measure multimodal agents.

**Who You Are**

- Strong foundation in machine learning, foundation models and agentic systems.

- Deep understanding of agentic systems and approaches in LLM/VLM reasoning, coding models, LLM/VLM tool calling.

- Hands-on experience with PyTorch and large-scale training (distributed, mixed precision, large datasets).

- Able to contribute continuous 6 months in the internship

**What Sets You Apart (Bonus Points)**

Experience in the following around data, modeling, ~~or ~~ evaluation:

- State-of-the-art foundation models in reasoning

- State-of-the-art foundation models in coding

- State-of-the-art foundation models in tool calling

- State-of-the-art multimodal agents

~~Your application are reviewed by real people. ~~

(Internship) Research Scientist / Engineer — Foundation Model

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