Member of Technical Staff – Data Research

About the Team
The Data Research team advances multimodal intelligence, building large-scale models that operate across diverse input spaces. We combine pioneering research, efficient engineering, and large-scale training to push the boundaries of computer-use models.

Key Responsibilities

• Build and scale data pipelines to create high-quality datasets that improve adaptability and reasoning

• Innovate training techniques that strengthen efficiency, stability, and performance across modalities

• Develop state-of-the-art multimodal models that power intelligent agents

• Design evaluation frameworks that capture edge cases and measure progress across domains

Candidate Profile

• Demonstrated ability to propose and carry out research directions independently

• Strong sense of teamwork, contributing across a variety of tasks that move the group forward

• Seeking ownership, embracing challenges, and openness to learning

Qualifications

• Background in training and deploying large multimodal models

• Experience developing and maintaining multimodal data pipelines (vision, audio, video, etc.)

• Advanced Python expertise across system design, parallel computing, and large-scale deployments

• MSc or PhD in machine learning, computer vision, natural language processing, or a related field

• Deep understanding of training and evaluation paradigms for multimodal models

• Strong communication skills and effectiveness in fast-changing environments