Member of Technical Staff - Multimodal Understanding

Highlights

• Push toward superhuman multimodal intelligence across image, video, audio and text.
• Build models that see, hear, and interact with the world in real time.
• Deliver frontier world modeling and interactive human-AI collaboration.

What they offer

• Equity
• Comprehensive medical, vision, and dental coverage
• 401(k) retirement plan
• Short & long-term disability insurance
• Life insurance

Ideal candidate

A proactive, high-intensity builder who thrives on curiosity and ownership, passionate about pushing multimodal AI frontiers to create real-time, human-centered experiences.

Requirements

• Hands-on experience with multimodal pre-training, post-training, or fine-tuning (vision, audio, video, or cross-modal).
• Expert-level proficiency in Python (core language), with strong experience in at least one of: JAX / PyTorch / XLA.
• Proven track record building or optimizing large-scale distributed ML systems (training/inference optimization, GPU utilization, multi-GPU/TPU setups, hardware co-design).
• Deep experience designing and running data pipelines at scale: curation, filtering, generation, quality studies, especially for noisy/real-world multimodal data.
• Strong fundamentals in evaluation design, benchmarks, reward modeling, or RL techniques (particularly for interactive/agentic behaviors).
• Proactive self-starter who thrives in high-intensity environments and is passionate about pushing multimodal AI frontiers.
• Willingness to own end-to-end initiatives and do whatever it takes to deliver breakthrough user experiences.