Research Scientist

Highlights

• Advance state-of-the-art multimodal AI systems deployed in real-world environments.
• Work on frontier models reasoning across text, images, audio, and sensor data.
• Research spans pre-training, RL post-training, and inference-aware design.

Ideal candidate

A research-minded builder excited to bridge cutting-edge multimodal research and real-world impact, who thrives translating ideas into deployed systems and collaborating across teams.

Requirements

• BS, MS, or PhD in Machine Learning, Computer Science, or related field
• Strong publication record in multimodal learning, transfer learning, or ML deployment
• Experience with modern deep learning frameworks such as PyTorch, JAX, and TensorFlow
• Track record of implementing and scaling large neural network architectures
• Ability to translate research insights into practical engineering solutions
• Excellent communication skills for cross-functional collaboration