Work across modeling, data, systems, and evaluation to make video foundation models expressive, controllable, and personalized. Build adaptation and personalization pipelines, define end-user quality metrics and evaluations, and collaborate with product and design to deploy production-ready model variants for creative partners.
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.
- 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).
The base pay range for this role is $200,000 – $450,000 per year.
About LumaLuma’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.
Similar Jobs
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Sell Samsara IoT solutions to mid-market Canadian customers ($20k–$100k deals). Manage full sales cycle including prospecting, POCs, trials, multi-stakeholder negotiations, pricing, and executive-level selling to achieve quota.
Top Skills:
Salesforce (Sfdc)
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead FP&A and strategic finance for R&D and Supply Chain Operations; own forecasting, controllership, and cost drivers (COGS, hardware, comp, AI infra); build scalable processes and AI-enabled reporting; partner with senior technical leaders and manage a high-performing finance team.
Top Skills:
Adaptive PlanningAWSChatgptClaudeCursorGeminiNetSuiteSalesforceSQLTableauWorkday
eCommerce • Fashion • Retail • Sales • Wearables • Design
Provide friendly, efficient checkout service; process transactions, returns, and repairs; maintain cashwrap, SKU accuracy, and cleanliness; promote add-ons/gift cards; capture customer information; assist cashier training; operate POS and mobile devices; follow store policies and flexible retail schedule.
Top Skills:
IpadLaptopMobile PosPosWalkie-Talkie
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
