Model Engineer, Multimodal Understanding

Highlights

• Push toward superhuman multimodal intelligence across image, video, audio, and text.
• Build models that see, hear, reason, and interact with the world in real time.
• Deliver frontier multimodal reasoning, world modeling, and agentic behaviors.

What they offer

• equity
• comprehensive medical, vision, and dental coverage
• 401(k) retirement plan
• short & long-term disability insurance
• life insurance

Ideal candidate

Proactive self-starter who thrives in high-intensity environments and obsesses over end-to-end user experiences. Passionate about pushing multimodal AI frontiers and owning breakthrough initiatives from idea to product.

Requirements

• Experience writing production-quality code in Python, PyTorch, JAX, Rust, or C++
• Expert-level proficiency in Python with strong experience in JAX / PyTorch / XLA
• Proven track record building or optimizing large-scale distributed ML systems
• Deep experience designing and running data pipelines at scale for multimodal data
• Strong fundamentals in evaluation design, benchmarks, reward modeling, or RL techniques
• Experience leading major improvements in model capabilities through data, modeling, algorithms, or scaling
• Familiarity with multimodal LLMs, scaling laws, tokenizers, compression, reasoning, or agentic systems
• Proficiency in Rust and/or C++ for performance-critical components
• Hands-on work with Spark, Ray, or Kubernetes