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

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