Research Scientist, Video Foundation Models

Cantina, Inc.; California (MO); On-site; USD 200,000 - 320,000; Full time

Benefits offered by this job

Equity

Medical, dental, and vision insurance

42 days PTO and holidays

Parental leave & fertility support

401(k) retirement savings plan

Lifestyle spending account

Lunch and snacks in office

Job summary

Cantina Labs is building next-generation native video and multimodal foundation models to enable high-quality, controllable generation and understanding at scale.

The team focuses on research-driven development across architecture, data, training, evaluation, and deployment, with collaborations across research, engineering, and product domains to shape the roadmap and deliver real-world capabilities.

Qualifications

• Strong research and engineering experience in generative modeling.
• Experience training and evaluating large-scale image/video/multimodal models.
• Track record of impactful models or publications.
• Ability to own ambiguous research problems and collaborate.

Responsibilities

• Research, develop, and scale native video and multimodal foundation models.
• Explore architectures, objectives, and conditioning for video generation.
• Build data curation and training pipelines for high-quality generation.
• Design experiments to study scaling, quality, and efficiency.
• Collaborate with researchers, engineers, and product teams to shape roadmap.
• Contribute to publications and open-source releases when appropriate.

Skills

Generative modeling

Diffusion models

Video generation

Multimodal models

Distributed training

Tools

PyTorch

Job description

Location

California

Employment Type

Full time

Department

Research

About Cantina:

Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning.

If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future!

About the Role:

We are building a core team to develop next-generation native video and omni foundation models for multimodal generation and understanding. Our current focus is large-scale video foundation model development, spanning pre-training, continued training, and post-training for high-quality, controllable, consistent, and efficient generation. Our broader roadmap includes reference- and memory-based generation, multimodal understanding and interaction, and joint audio-video generation.

In this role, you will work on foundational research and large-scale model development across the full model lifecycle, including architecture, data, training, evaluation, post-training, training systems, and efficient inference. You will have the opportunity to shape both the technical direction and the team from an early stage.

What You’ll Do:

Research, develop, and scale native video and multimodal foundation models, from early prototypes through large-scale pre-training, continued training, and post-training.

Explore new model architectures, training objectives, and conditioning mechanisms for video generation, reference- and memory-based generation, multimodal interaction, and joint audio-video generation.

Build and improve large-scale data curation, distributed training, evaluation, and post-training pipelines for high-quality and controllable generation.

Design systematic experiments to understand model scaling, generation quality, controllability, consistency, robustness, and inference efficiency.

Collaborate closely with researchers, engineers, and product teams to help shape the technical roadmap and, where appropriate, translate model advances into real-world capabilities.

Contribute to research publications and open-source releases when appropriate.

What You’ll Bring:

Strong research and engineering experience in generative modeling, including areas such as diffusion models, flow matching, DiTs, video generation, multimodal models, world models, or related fields.

Hands‑on experience training and evaluating large-scale image, video, or unified multimodal models using modern deep learning frameworks and distributed training systems.

A strong track record of developing impactful models or systems, demonstrated through research publications, open-source contributions, production impact, or other significant technical work.

Ability to independently own ambiguous research problems, move effectively from ideas to experiments, and work well in a highly collaborative environment.

Specialized depth in one or more areas across the foundation model lifecycle, such as model architecture, data curation, controllable generation, multimodal understanding and conditioning, post‑training and reward modeling, model acceleration, inference systems, or deployment.

Compensation:

The anticipated annual base salary range for this role is between $200,000-$320,000. When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.

• Competitive salary and generous company equity
• Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina
• 42 days of paid time off, including:
• 15 PTO days
• 15 company holidays
• 2 floating holidays
• Generous parental leave & fertility support
• 401(k) retirement savings plan
• Lifestyle spending account – $500/month to use however you’d like
• Complimentary lunch and snacks for in-office employees