Luma AI

Company Name: Luma AI
Job Title: Research Engineer - Applied Research
Job Description: Job Title: Research Engineer – Applied Research Role Summary: Translate cutting‑edge multimodal AI research into production‑ready product features, improving model expressiveness, controllability, and reliability. Expectations: Deliver robust, fine‑tuned model variants that meet product requirements and continuously elevate user experience through iterative experimentation and feedback integration. Key Responsibilities: - Design, train, and fine‑tune vision‑focused generative models (e.g., diffusion, transformers) for specific product and partner use cases. - Lead model iteration cycles, pushing quality, reliability, and creative depth across releases. - Collaborate with Product, Research, and Design teams to translate user needs into model behavior, intuitive controls, and new capabilities. - Build internal tooling and pipelines that accelerate experimentation, evaluation, and deployment of models. - Conduct applied research on safety, authenticity, fairness, and related moderation and watermarking topics. Required Skills: - Strong Python programming with deep learning frameworks (PyTorch preferred). - Experience with modern visual generative architectures and end‑to‑end model deployment. - Ability to use human feedback and creative evaluation to tune models for real products. - Familiarity with large‑scale training infrastructures (SLURM, Ray, Kubernetes) is a plus. - Passion and curiosity for multimodal AI, understanding model perception and generation in real‑world contexts. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Machine Learning, or related field (advanced degrees preferred). - Relevant certifications in deep learning or AI are a plus but not mandatory.

Palo alto, United states

Hybrid

19-11-2025

Company Name: Luma AI
Job Title: Research Engineer / Scientist - Post-training
Job Description: Job title: Research Engineer / Scientist – Post‑Training Role Summary: Optimizes and aligns pre‑trained multimodal image and video generative models through advanced fine‑tuning, reinforcement learning, and sampling techniques to deliver higher visual quality, instruction adherence, and product‑specific performance. Works collaboratively with research, product, and design teams to iterate and deploy post‑training capabilities that meet user expectations. Expectations: Produce measurable improvements in visual fidelity, functional reliability, and alignment with user feedback. Maintain rigorous evaluation against market standards, communicate findings clearly to cross‑functional stakeholders, and translate research insights into production‑ready solutions. Key Responsibilities: 1. Fine‑tune large‑scale diffusion and vision‑language models for image and video generation. 2. Implement RL strategies (Direct Preference Optimization, Generalized Reward Preference Optimization) to incorporate human preferences. 3. Partner with Applied Research and Product teams to define use‑case specific tuning goals and deploy targeted models. 4. Conduct side‑by‑side benchmarking against leading competitors, quantify downstream metric gains, and recommend improvement paths. 5. Develop advanced features such as camera control, object & character reference, image/video editing, and motion transfer for video models. 6. Design and maintain data pipelines for large‑scale, diverse image/video datasets, including filtering, balancing, and automated captioning. 7. Research and apply state‑of‑the‑art diffusion sampling methods and hyper‑parameter search strategies to surpass visual quality benchmarks. 8. Evaluate emerging post‑training techniques, prototype promising methods, and integrate them into the model retraining workflow. Required Skills: - Deep learning expertise (diffusion, vision–language, generative models). - Proficiency in PyTorch, JAX, or TensorFlow for large‑scale training and optimization. - Experience with reinforcement learning for preference alignment. - Strong data engineering skills for handling large image/video corpora. - Quantitative evaluation and benchmarking of generative models. - Cross‑functional collaboration with product, design, and evaluation teams. - Rapid prototyping and feature demo development. - Excellent visual discrimination and focus on aesthetic quality. Required Education & Certifications: - Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related technical field with concentration in deep learning and computer vision. - Demonstrated independent research experience in academia or industry.

Palo alto, United states

Hybrid

19-11-2025

Company Name: Luma AI
Job Title: Software Engineer - Full Stack, Ad Product
Job Description: **Job Title:** Software Engineer – Full Stack, Ad Product **Role Summary:** Founding full‑stack engineer building an AI‑powered ad‑creation platform from the ground up, delivering scalable low‑latency backend APIs, user‑centric React/TypeScript interfaces, and AI agent integrations for creative professionals. **Expectations:** * Own the end‑to‑end product, from concept to production, working directly with ad‑agency customers to translate workflows. * Deliver 0‑to‑1 features quickly in an ambiguous, fast‑paced environment. * Maintain high performance, scalability, and reliability while integrating with major ad platforms. **Key Responsibilities:** * Design, implement, and deploy Python backend services and responsive React/TypeScript UIs. * Build and maintain AI agents/platforms that leverage large language models. * Create robust integrations with key ad‑tech APIs (DSP, ad exchanges, Ads Manager). * Containerize applications with Docker, orchestrate with Kubernetes, and deploy to AWS/GCP/Azure. * Conduct iterative releases, gather customer feedback, and iterate rapidly. **Required Skills:** * 5+ years full‑stack development: Python backend, React/TypeScript frontend. * Proven track record of shipping 0‑to‑1 user‑facing products. * Experience building AI agents or LLM‑driven platforms. * Deep knowledge of ad‑tech products (Ads Manager, DSP, ad exchange). * Expertise in Docker, Kubernetes, and cloud deployments (AWS, GCP, Azure). * Strong product sense for creative tools and excellent communication with customers. **Required Education & Certifications:** * Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience. ---

Palo alto, United states

Hybrid

Mid level

27-12-2025

Company Name: Luma AI
Job Title: Software Engineer - Frontend UI
Job Description: Job Title: Software Engineer – Frontend UI Role Summary: Design, build, and maintain high‑performance, scalable user interfaces for a large‑audience web application using React, TypeScript, and modern frontend tooling. Drive architectural decisions, component standards, and design system evolution while collaborating closely with designers and product teams. Expactations: • 5 + years of frontend engineering on consumer or high‑usage web products. • Mastery of JavaScript/TypeScript, React, and modern CSS. • Solid grasp of state management, component design, and performance optimization. • Ability to write clean, maintainable, reusable code that underpins a scalable design system. • Detail‑oriented, reliable, and collaborative with designers and product owners. Key Responsibilities: • Translate product requirements and design specifications into production‑ready interfaces. • Build and maintain user‑facing features with React, TypeScript, and standard tooling. • Refactor and document code to improve quality, readability, and reusability. • Contribute to frontend architecture, shared component libraries, and internal best practices. • Collaborate with product, design, and backend teams to clarify requirements and ensure delivery. • Optimize UI performance and accessibility across browsers and devices. • Mentor junior engineers on component patterns and coding standards. Required Skills: • Advanced JavaScript/TypeScript • React (hooks, context, suspense) • Modern CSS (Flexbox, Grid, CSS‑in‑JS or CSS modules) • State management (Redux, Recoil, Zustand, or similar) • Familiarity with component testing (Jest, React Testing Library) • Understanding of build tools (Webpack, Vite, or similar) • Performance profiling and optimization techniques • Experience with design systems or component libraries • Strong communication and cross‑functional collaboration Bonus Skills: • Shipping production web applications, preferably media‑rich or interactive. • Animation libraries (Framer Motion, GSAP). • Work with creative tools, video, or AI‑adjacent products. Required Education & Certifications: • Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent professional experience).

Palo alto, United states

Hybrid

Mid level

27-12-2025

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