Luma AI
Research Scientist / Engineer - Controllability, Personalization & Productization
Be an Early Applicant
The role focuses on refining Luma's foundation models for better controllability and personalization while collaborating across research, product, and design teams.
About the Role
What You’ll Do
Who You Are
Bonus Points
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.
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.
- 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 $187,500 – $395,000 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
2 Hours Ago
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
The Director leads pharmacy strategy, developing partnerships and optimizing pharmacist-led models of care while ensuring alignment with corporate objectives and overseeing a cross-functional team.
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
Lead the creation of educational content and training programs, managing a team to drive product adoption across Superhuman's suite of products, including AI solutions.
Top Skills:
Ai ToolsLmsSaaS
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
The Customer Education Operations Manager will oversee the technical infrastructure for customer education, manage data reporting, and collaborate on vendor evaluations. This role requires experience with an LMS, data analysis, and integrating AI solutions to optimize educational programs and outreach.
Top Skills:
AIBi ToolingData PipelinesDoceboLearnuponLmsSkilljar
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
