Machine Learning Engineer, Video

A bit about Cantina:

Cantina, founded by Sean Parker, is a new social platform with the most advanced AI character creator. Build, share, and interact with AI bots and your friends directly in the Cantina or across the internet.

Cantina bots are lifelike, social creatures, capable of interacting wherever humans go on the internet. Recreate yourself using powerful AI, imagine someone new, or choose from thousands of existing characters. Bots are a new media type that offer a way for creators to share infinitely scalable and personalized content experiences combined with seamless group chat across voice, video, and text.

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

A bit about the role: 

We are looking for Research Engineers to contribute to the development of state-of-the-art AI systems for real-world applications, focusing on real-time and offline human-centric video generation (currently focusing on talking heads). Our technology leverages diffusion models, flow matching, and GANs. We are also working on network optimization and audio-driven avatars.

As a Research Engineer, you will work on:

• Data processing, cleaning, and filtering to ensure high-quality datasets for training and experimentation.

• Optimizing and accelerating pipelines to improve performance and efficiency.

• Testing hypotheses and building prototypes for new features or model improvements.

• Collaborating with researchers and engineers to integrate prototypes into production pipelines.

• Supporting the team in deploying and scaling AI solutions.

Requirements:

• Experience in data processing and creating efficient pipelines for large-scale datasets.

• Strong programming skills in Python, with expertise in frameworks like PyTorch.

• Knowledge of image/video generation, audio sequence-to-sequence models, model optimization, and distillation (experience in all areas is not mandatory).

• Publications in reputable conferences or journals are a plus.

Why Join Cantina AI?

• Opportunity to work on groundbreaking AI technologies that redefine human-computer interaction.

• Collaborative and inclusive culture that values innovation, continuous learning, and professional growth.

• Competitive compensation package including equity options, healthcare benefits, and flexible work arrangements.

Application Process: Please submit your resume, cover letter, and any relevant portfolio or publications demonstrating your research contributions in AI.

Location: London, England highly preferred, but we are also open to remote in the GMT time zone.