Member of Technical Staff, Applied Research

What you'll do

• Develop architectures, training methods, conditioning, and control policies for world models.
• Design and run experiments, distributed training, inference systems, and evaluations; ship results into user-facing models.
• Collaborate across research, engineering, and product, and contribute to scientific and engineering culture.

What they ask for

• Deep technical track record in world models, generative modeling, video, multimodal learning, large-scale ML systems, or an adjacent area.
• Ability to define problems, design experiments, and build prototypes from first principles.
• Ability to connect research to real-world application constraints, including latency.
• Comfort operating in ambiguous areas and building tools and workflows as needed.

Nice to have

• Experience with conditioning, controllability, or learned control policies.
• Have originated field-advancing work or shipped systems at scale.

Tools

diffusion, transformer

AI focus

Research and develop controllable, multimodal world models, including conditioning methods, control policies, long-horizon consistency, and evaluation for applications.