The role involves refining and personalizing Luma's multimodal AI models, improving their controllability and adaptability for creative workflows, while collaborating with cross-functional teams.
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 • Productivity • Software • Automation
Lead and develop a team of Technical Support Specialists, driving AI initiatives and supporting operations that connect to business outcomes, while ensuring high customer experience and team performance.
Top Skills:
AIAutomation ToolsSaaS
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Design, build, deploy, and maintain resilient, scalable backend features and APIs for enterprise restaurant products. Lead complex projects, ensure quality via automated tests, roll out features, monitor success, collaborate with UX/PM, and mentor engineers.
Top Skills:
AndroidAPIsAutomated TestingDistributed SystemsJavaKotlin
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Build and deliver enterprise-level features across Toast's platform (POS, backend, frontend). Design and implement backend services and APIs, create automated tests, roll out features, monitor success, and collaborate with UX, PM, and cross-functional teams.
Top Skills:
JavaKotlin
What you need to know about the Calgary Tech Scene
Employees can spend up to one-third of their life at work, so choosing the right company is crucial, not just for the job itself but for the company culture as well. While startups often offer dynamic culture and growth opportunities, large corporations provide benefits like career development and networking, especially appealing to recent graduates. Fortunately, Calgary stands out as a hub for both, recognized as one of Startup Genome's Top 100 Emerging Ecosystems, while also playing host to a number of multinational enterprises. In Calgary, job seekers can find a wide range of opportunities.
