Member of technical staff - Research - Environment and data

H; London; On-site; NOK 800,000 - 1,000,000; Full time

Job summary

A leading technology firm in Norway is seeking a Member of Technical Staff – Data Research to build and scale data pipelines, innovate training techniques, and develop multimodal models. Candidates should have a strong background in machine learning, computer vision, or NLP, as well as advanced Python skills. This role offers an exciting opportunity to work in a dynamic environment.

Qualifications

• Experience developing and maintaining multimodal data pipelines (vision, audio, video, etc.)
• Deep understanding of training and evaluation paradigms for multimodal models.
• Strong communication skills and effectiveness in fast-changing environments.

Responsibilities

• Build and scale data pipelines to create high-quality datasets.
• Innovate training techniques for efficiency and performance.
• Develop state-of-the-art multimodal models.
• Design evaluation frameworks for progress measurement.

Skills

Research direction

Teamwork

Ownership

Challenges

Learning

Education

MSc or PhD in machine learning, computer vision, NLP, or related field

Tools

Python

System design

Parallel computing

Large-scale deployments

Job description

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